Skip Navigation
Skip to contents

JPMPH : Journal of Preventive Medicine and Public Health

OPEN ACCESS
SEARCH
Search

Search

Page Path
HOME > Search
26 "Public health"
Filter
Filter
Article category
Keywords
Publication year
Authors
Funded articles
Original Article
Knowledge, Attitudes, and Practices Regarding Dengue Prevention Among Health Volunteers in an Urban Area – Malang, Indonesia
Alidha Nur Rakhmani, Lilik Zuhriyah
J Prev Med Public Health. 2024;57(2):176-184.   Published online February 21, 2024
DOI: https://doi.org/10.3961/jpmph.23.484
  • 675 View
  • 55 Download
AbstractAbstract AbstractSummary PDF
Objectives
The dengue prevention program known as “One House One Mosquito Larva Inspector” involves health volunteers who play a crucial role in the surveillance of mosquito larvae and reporting their findings to local public health officials. This study aimed to identify factors related to the knowledge, attitudes, and practices (KAP) of dengue prevention behavior among these health volunteers.
Methods
A study was conducted in 5 sub-districts in Malang, an urban area in Indonesia. We employed a cross-sectional design and utilized a semi-structured questionnaire to assess the KAP of 400 health volunteers. Data were collected through face-to-face interviews.
Results
Multiple logistic regression analysis revealed that individuals with a more positive attitude (odds ratio [OR], 1.69; p<0.05) and those with family sizes greater than five persons (OR, 1.90; p<0.05) were more likely to engage in effective dengue prevention practices. Additionally, possesing good knowledge was significantly assocated with more positive attitude (OR, 2.24; p<0.001). Furthermore, 40% reduction in positive attitude was observed in those over 45 years (OR, 0.60; p<0.05). The best practices most frequently reported by the majority of respondents included always reporting their surveillance activities (75.8%) and cleaning the water container in the bathroom at least once a week (65.2%). However, only 52.2% of respondents regularly checked for mosquito larvae in their neighborhood.
Conclusions
Sustainable promotion and training for the “One House One Mosquito Larva Inspector” initiative are necessary, particularly among young health volunteers, to improve dengue prevention behaviors both within their own homes and in the surrounding environment.
Summary
Key Message
The study among health volunteers emphasizes that better knowledge and younger age < 45 were associated with a positive attitude. While a positive attitude and family size > 5 persons were associated with better dengue prevention practices. Therefore, there is a need for sustained promotion and training among health volunteers to enhance the knowledge and attitude that may shape good dengue prevention practices.
Perspective
A Lifestyle Communication Tool: Association of E-cigarette Use and Pre-diabetes
Nilanga Aki Bandara, Tanisha Vallani, Xuan Randy Zhou, Senara Hansini Palihawadane, Rochelle Gamage, Miles Mannas, Jay Herath
J Prev Med Public Health. 2023;56(4):384-387.   Published online July 31, 2023
DOI: https://doi.org/10.3961/jpmph.23.086
  • 1,160 View
  • 81 Download
AbstractAbstract PDF
The aim of this study was to present a framework for clinicians to use when discussing electronic cigarette (e-cigarette) use and its association with pre-diabetes. A communication tool was designed using evidence-based strategies from the academic literature. A four-step framework is presented, which includes: step (1) helping patients to understand the association between e-cigarette use and pre-diabetes; step (2) the synergistic health impacts of e-cigarette use and pre-diabetes; step (3) management of diabetes-related lifestyle factors; and step (4) stages of change assessment related to e-cigarette reduction. This communication tool provides support for clinicians to discuss the risk of pre-diabetes associated with e-cigarette use. Moving forward, implementation and evaluation of this model are needed.
Summary
Original Articles
Evaluation of the Public Health Emergency Response to the COVID-19 Pandemic in Daegu, Korea During the First Half of 2020
Hwajin Lee, Keon-Yeop Kim, Jong-Yeon Kim, Sin Kam, Kyeong Soo Lee, Jung Jeung Lee, Nam Soo Hong, Tae-Yoon Hwang
J Prev Med Public Health. 2022;55(4):360-370.   Published online June 22, 2022
DOI: https://doi.org/10.3961/jpmph.22.068
  • 2,898 View
  • 148 Download
  • 2 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Objectives
This study evaluated the response in Daegu, Korea to the first wave of the coronavirus disease 2019 (COVID-19) pandemic according to a public health emergency response model.
Methods
After an examination of the official data reported by the city of Daegu and the Korea Centers for Disease Control and Prevention, as well as a literature review and advisory meetings, we chose a response model. Daegu’s responses were organized into 4 phases and evaluated by applying the response model.
Results
In phase 1, efforts were made to block further transmission of the virus through preemptive testing of a religious group. In phase 2, efforts were concentrated on responding to mass infections in high-risk facilities. Phase 3 involved a transition from a high-intensity social distancing campaign to a citizen participation–based quarantine system. The evaluation using the response model revealed insufficient systematic preparation for a medical surge. In addition, an incorporated health-related management system and protection measures for responders were absent. Nevertheless, the city encouraged the participation of private hospitals and developed a severity classification system. Citizens also played active roles in the pandemic response by practicing social distancing.
Conclusions
This study employed the response model to evaluate the early response in Daegu to the COVID-19 pandemic and revealed areas in need of improvement or maintenance. Based on the study results, creation of a systematic model is necessary to prepare for and respond to future public health emergencies like the COVID-19 pandemic.
Summary
Korean summary
이 연구는 공중보건 위기대응 모형을 적용하여 코로나19 1차 유행에 대한 대구시의 대응을 평가하였습니다. 모형의 세부적 요소인 15개 역량에 따른 평가 결과, 대구의 대응에서 개선 또는 유지해야 할 영역들이 확인되었습니다. 이 결과를 바탕으로, 한국형 공중보건 위기대응 모형을 체계적으로 구축해야 할 것입니다.

Citations

Citations to this article as recorded by  
  • Factors influencing psychological concerns about COVID-19 in South Korea: direct and indirect damage during the early stages of pandemic
    Min-sung Kim, Sung-il Cho
    BMC Public Health.2024;[Epub]     CrossRef
  • Estimation of the Effectiveness of a Tighter, Reinforced Quarantine for the Coronavirus Disease 2019 (COVID-19) Outbreak: Analysis of the Third Wave in South Korea
    Marn Joon Park, Ji Ho Choi, Jae Hoon Cho
    Journal of Personalized Medicine.2023; 13(3): 402.     CrossRef
Crossover Food Businesses in Louisiana, United States: A Descriptive Study of Their Characteristics and Food Safety Training Needs From Public Health Inspectors’ Perspective
Wenqing Xu, Evelyn Watts, Carolyn Bombet, Melissa Cater
J Prev Med Public Health. 2022;55(3):289-296.   Published online May 20, 2022
DOI: https://doi.org/10.3961/jpmph.22.013
  • 2,447 View
  • 61 Download
  • 1 Web of Science
  • 1 Crossref
AbstractAbstract PDF
Objectives
Integrating retail and manufacturing enables limitless potential for food businesses, but also creates challenges for navigating within complex food safety regulations. From public health inspectors’ (PHIs) perspective, this study aimed (1) to describe the characteristics of crossover businesses in Louisiana, and (2) to evaluate regulation awareness and food safety education needs for business owners and PHIs who inspect crossover businesses.
Methods
A self-administered questionnaire was administered to Louisiana Department of Health PHIs using Qualtrics®. A descriptive analysis was performed, focusing on the frequency of each item.
Results
In total, 1774 retailers were conducting or planned to conduct specialized processes, while 552 food manufacturers were performing or planned to perform retail functions. Reduced oxygen packaging, the use of additives such as vinegar as a method of preservation, and smoking food as a method of preservation were observed by 62%, 36%, and 35% of the PHIs, respectively. The PHIs perceived crossover businesses as “not aware” or “somewhat aware” of the food safety regulations. The current food safety training level for these businesses was reported to range from “no training” to “some training but not sufficient.” When asked for a self-assessment, the majority of PHIs reported themselves as being “familiar” with the variance requirement for specialized processing. Their confidence in inspecting crossover businesses, however, leaned towards “not confident” or “somewhat confident.”
Conclusions
To better guard public health, food safety training is needed for crossover food business owners, as well as PHIs, on regulations and conducting or inspecting specialized processes.
Summary

Citations

Citations to this article as recorded by  
  • Food is Medicine Initiative for Mitigating Food Insecurity in the United States
    Vidya Sharma, Ramaswamy Sharma
    Journal of Preventive Medicine and Public Health.2024; 57(2): 96.     CrossRef
A Regionalization Model to Increase Equity of Access to Maternal and Neonatal Care Services in Iran
Zahra Mohammadi Daniali, Mohammad Mehdi Sepehri, Farzad Movahedi Sobhani, Mohammad Heidarzadeh
J Prev Med Public Health. 2022;55(1):49-59.   Published online December 28, 2021
DOI: https://doi.org/10.3961/jpmph.21.401
  • 2,912 View
  • 141 Download
  • 2 Web of Science
  • 3 Crossref
AbstractAbstract PDFSupplementary Material
Objectives
Access to maternal and neonatal care services (MNCS) is an important goal of health policy in developing countries. In this study, we proposed a 3-level hierarchical location-allocation model to maximize the coverage of MNCS providers in Iran.
Methods
First, the necessary criteria for designing an MNCS network were explored. Birth data, including gestational age and birth weight, were collected from the data bank of the Iranian Maternal and Neonatal Network national registry based on 3 service levels (I, II, and III). Vehicular travel times between the points of demand and MNCS providers were considered. Alternative MNCS were mapped in some cities to reduce access difficulties.
Results
It was found that 130, 121, and 86 MNCS providers were needed to respond to level I, II, and III demands, respectively, in 373 cities. Service level III was not available in 39 cities within the determined travel time, which led to an increased average travel time of 173 minutes to the nearest MNCS provider.
Conclusions
This study revealed inequalities in the distribution of MNCS providers. Management of the distribution of MNCS providers can be used to enhance spatial access to health services and reduce the risk of neonatal mortality and morbidity. This method may provide a sustainable healthcare solution at the policy and decision-making level for regional, or even universal, healthcare networks.
Summary

Citations

Citations to this article as recorded by  
  • Global burden and inequality of maternal and neonatal disorders: based on data from the 2019 Global Burden of Disease study
    R Peng, Y Tong, M Yang, J Wang, L Yang, J Zhu, Yu Liu, H Wang, Z Shi, Ya Liu
    QJM: An International Journal of Medicine.2024; 117(1): 24.     CrossRef
  • Epidemiology and Clinical Features of COVID-19 among 4,015 Neonates in Iran: Results of the National Study from the Iranian Maternal and Neonatal Network
    David A. Schwartz, Parisa Mohagheghi, Fereshteh Moshfegh, Nazanin Zafaranloo, Narjes Khalili, Mohammad Heidarzadeh, Abbas Habibelahi, Roya Ghafoury, Fatemeh Afrashteh
    American Journal of Perinatology.2023;[Epub]     CrossRef
  • An optimization model for equitable accessibility to magnetic resonance imaging technology in developing countries
    João Flávio de Freitas Almeida, Samuel Vieira Conceição, Virgínia Silva Magalhães
    Decision Analytics Journal.2022; 4: 100105.     CrossRef
Socio-demographic Determinants of Low Physical Activity in Peruvian Adults: Results of a Population-based Survey Performed in 2017-2018
Akram Hernández-Vásquez, Rodrigo Vargas-Fernández
J Prev Med Public Health. 2021;54(6):461-470.   Published online November 7, 2021
DOI: https://doi.org/10.3961/jpmph.21.418
  • 3,065 View
  • 93 Download
  • 4 Web of Science
  • 3 Crossref
AbstractAbstract PDF
Objectives
The objective of this study was to determine the prevalence of low physical activity (PA) in Peruvian adults and to identify associated factors.
Methods
An analytical study was performed using data from the 2017-2018 Nutritional Food Surveillance by Life Stages survey. The outcome variable was low PA (yes or no), assessed using the International Physical Activity Questionnaire-short form. Prevalence ratios were estimated as a measure of association.
Results
Among the 1045 persons included in the analysis, the age-standardized prevalence of low PA was 61.9%. The adjusted model showed that being female and migrating from a rural to an urban area in the last 5 years were associated with a higher probability of having low PA than males and individuals who had not migrated, while residing in rural highlands and jungle areas was associated with a reduced probability of having low PA compared to people residing in other geographic domains.
Conclusions
Being a female and migration from a rural to an urban area in the last 5 years were associated with a higher likelihood of having low PA. Therefore, promotion and prevention strategies related to PA are required, especially in the female and migrant populations.
Summary

Citations

Citations to this article as recorded by  
  • Individualized Biological Age as a Predictor of Disease: Korean Genome and Epidemiology Study (KoGES) Cohort
    Seokyung An, Choonghyun Ahn, Sungji Moon, Eun Ji Sim, Sue-Kyung Park
    Journal of Personalized Medicine.2022; 12(3): 505.     CrossRef
  • Association between Altitude and the Framingham Risk Score: A Cross-Sectional Study in the Peruvian Adult Population
    Akram Hernández-Vásquez, Rodrigo Vargas-Fernández, Manuel Chacón-Diaz
    International Journal of Environmental Research and Public Health.2022; 19(7): 3838.     CrossRef
  • Prevalence of Prehypertension and Associated Cardiovascular Risk Profiles among Adults in Peru: Findings from a Nationwide Population-Based Study
    Akram Hernández-Vásquez, Rodrigo Vargas-Fernández
    International Journal of Environmental Research and Public Health.2022; 19(13): 7867.     CrossRef
Systematic Review
A Systematic Review of Spatial and Spatio-temporal Analyses in Public Health Research in Korea
Han Geul Byun, Naae Lee, Seung-sik Hwang
J Prev Med Public Health. 2021;54(5):301-308.   Published online August 26, 2021
DOI: https://doi.org/10.3961/jpmph.21.160
  • 5,014 View
  • 207 Download
  • 10 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Objectives
Despite its advantages, it is not yet common practice in Korea for researchers to investigate disease associations using spatio-temporal analyses. In this study, we aimed to review health-related epidemiological research using spatio-temporal analyses and to observe methodological trends.
Methods
Health-related studies that applied spatial or spatio-temporal methods were identified using 2 international databases (PubMed and Embase) and 4 Korean academic databases (KoreaMed, NDSL, DBpia, and RISS). Two reviewers extracted data to review the included studies. A search for relevant keywords yielded 5919 studies.
Results
Of the studies that were initially found, 150 were ultimately included based on the eligibility criteria. In terms of the research topic, 5 categories with 11 subcategories were identified: chronic diseases (n=31, 20.7%), infectious diseases (n=27, 18.0%), health-related topics (including service utilization, equity, and behavior) (n=47, 31.3%), mental health (n=15, 10.0%), and cancer (n=7, 4.7%). Compared to the period between 2000 and 2010, more studies published between 2011 and 2020 were found to use 2 or more spatial analysis techniques (35.6% of included studies), and the number of studies on mapping increased 6-fold.
Conclusions
Further spatio-temporal analysis-related studies with point data are needed to provide insights and evidence to support policy decision-making for the prevention and control of infectious and chronic diseases using advances in spatial techniques.
Summary
Korean summary
본 연구는 국내 시공간 분석을 활용한 역학연구를 체계적 문헌고찰을 통해 검토하였다. 의료이용, 형평성, 건강행동 관련 주제가 가장 많았고, 두 가지 이상의 공간분석 기법을 적용한 사례가 늘었으며, 단순 지도화를 적용한 연구가 가장 많았다. 향후 시공간 분석 결과를 이용해 질병 예방과 관리 정책에 적극적으로 활용할 필요가 있다.

Citations

Citations to this article as recorded by  
  • Group I pharmaceuticals of IARC and associated cancer risks: systematic review and meta-analysis
    Woojin Lim, Sungji Moon, Na Rae Lee, Ho Gyun Shin, Su-Yeon Yu, Jung Eun Lee, Inah Kim, Kwang-Pil Ko, Sue K. Park
    Scientific Reports.2024;[Epub]     CrossRef
  • Spatio-Temporal Analysis of Leptospirosis Hotspot Areas and Its Association With Hydroclimatic Factors in Selangor, Malaysia: Protocol for an Ecological Cross-sectional Study
    Muhammad Akram Ab Kadir, Rosliza Abdul Manaf, Siti Aisah Mokhtar, Luthffi Idzhar Ismail
    JMIR Research Protocols.2023; 12: e43712.     CrossRef
  • Epidemiological characteristics and spatiotemporal analysis of mumps at township level in Wuhan, China, 2005–2019
    Ying Peng, Peng Wang, De-guang Kong, Wen-zhen Li, Dong-ming Wang, Li Cai, Sha Lu, Bin Yu, Bang-hua Chen, Pu-Lin Liu
    Epidemiology and Infection.2023;[Epub]     CrossRef
  • A Systematic Review of Areal Units and Adjacency Used in Bayesian Spatial and Spatio-Temporal Conditional Autoregressive Models in Health Research
    Zemenu Tadesse Tessema, Getayeneh Antehunegn Tesema, Susannah Ahern, Arul Earnest
    International Journal of Environmental Research and Public Health.2023; 20(13): 6277.     CrossRef
  • Use of geographically weighted regression models to inform retail endgame strategies in South Korea: application to cigarette and ENDS prevalence
    Heewon Kang, Eunsil Cheon, Jaeyoung Ha, Sung-il Cho
    Tobacco Control.2023; : tc-2023-058117.     CrossRef
  • EpiVECS: exploring spatiotemporal epidemiological data using cluster embedding and interactive visualization
    Lee Mason, Blànaid Hicks, Jonas S. Almeida
    Scientific Reports.2023;[Epub]     CrossRef
  • Spatiotemporal Trends and Distributions of Malaria Incidence in the Northwest Ethiopia
    Teshager Zerihun Nigussie, Temesgen T. Zewotir, Essey Kebede Muluneh, Wei Wang
    Journal of Tropical Medicine.2022; 2022: 1.     CrossRef
  • Small-scale spatiotemporal epidemiology of notifiable infectious diseases in China: a systematic review
    Junyao Zheng, Guoquan Shen, Siqi Hu, Xinxin Han, Siyu Zhu, Jinlin Liu, Rongxin He, Ning Zhang, Chih-Wei Hsieh, Hao Xue, Bo Zhang, Yue Shen, Ying Mao, Bin Zhu
    BMC Infectious Diseases.2022;[Epub]     CrossRef
  • Characteristics of Atmospheric Compounds based on Regional Multicorrelation Analysis in Honam Area
    Sung-Hyun Oh, Sea-Ho Oh, Min-Suk Bae
    Journal of Environmental Analysis, Health and Toxicology.2022; 25(3): 85.     CrossRef
  • Spatiotemporal analyses of the epidemiological characteristics of diabetes mellitus
    Sang Youl Rhee
    Epidemiology and Health.2021; 43: e2021102.     CrossRef
Special Article
Trends of the Global Hepatitis C Disease Burden: Strategies to Achieve Elimination
Nathalie Brunner, Philip Bruggmann
J Prev Med Public Health. 2021;54(4):251-258.   Published online June 24, 2021
DOI: https://doi.org/10.3961/jpmph.21.151
  • 4,150 View
  • 118 Download
  • 21 Crossref
AbstractAbstract PDF
Hepatitis C infection is responsible for high morbidity and mortality rates globally as well as for significant indirect costs. The disease burden caused by the hepatitis C virus (HCV) is comparable to the one caused by human immunodeficiency virus or tuberculosis. Today, simple detection methods, highly effective and easy to administer therapies and efficient preventative measures are available to combat hepatitis C. Nevertheless, in most countries around the world, the World Health Organization target of eliminating this infectious disease and its consequences by 2030 are not being met. Significant gaps in care for hepatitis C sufferers still exist, the shortcomings ranging from education and treatment to aftercare. Hepatitis C infection was and still is not on the radar of most politicians and health authorities. National programmes and strategies to combat the disease exist or are being developed in many countries. However, for these to be implemented efficiently and successfully, clear political commitment, strong civil society actors, well-functioning public health structures and the relevant support from global donors are needed.
Summary

Citations

Citations to this article as recorded by  
  • Opportunities and challenges for the application of artificial intelligence paradigms into the management of endemic viral infections: The example of Chronic Hepatitis C Virus
    Ahmed N. Farrag, Ahmed M. Kamel, Iman A. El‐Baraky
    Reviews in Medical Virology.2024;[Epub]     CrossRef
  • Barriers and advocacy needs for hepatitis C services in prisons: Informing the prisons hepatitis C advocacy toolkit
    Shelley J Walker, Lok B Shrestha, Andrew R Lloyd, Olivia Dawson, Yumi Sheehan, Julia Sheehan, Nonso B C Maduka, Joaquin Cabezas, Matthew J Akiyama, Nadine Kronfli
    International Journal of Drug Policy.2024; 126: 104386.     CrossRef
  • Metagenomic Detection of Divergent Insect- and Bat-Associated Viruses in Plasma from Two African Individuals Enrolled in Blood-Borne Surveillance
    Gregory S. Orf, Ana Olivo, Barbara Harris, Sonja L. Weiss, Asmeeta Achari, Guixia Yu, Scot Federman, Dora Mbanya, Linda James, Samuel Mampunza, Charles Y. Chiu, Mary A. Rodgers, Gavin A. Cloherty, Michael G. Berg
    Viruses.2023; 15(4): 1022.     CrossRef
  • Gastrointestinal tract and viral pathogens
    Gowthami Sai Kogilathota Jagirdhar, Yashwitha Sai Pulakurthi, Himaja Dutt Chigurupati, Salim Surani
    World Journal of Virology.2023; 12(3): 136.     CrossRef
  • Hepatitis C virus seroprevalence, testing, and treatment capacity in public health facilities in Ghana, 2016–2021; A multi-centre cross-sectional study
    Yvonne Ayerki Nartey, Rafiq Okine, Atsu Seake-Kwawu, Georgia Ghartey, Yaw Karikari Asamoah, Ampem Darko Jnr Siaw, Kafui Senya, Amoako Duah, Alex Owusu-Ofori, Opei Adarkwa, Seth Agyeman, Sally Afua Bampoh, Lindsey Hiebert, Henry Njuguna, Neil Gupta, John W
    PLOS ONE.2023; 18(6): e0287580.     CrossRef
  • Association of NK Cells with the Severity of Fibrosis in Patients with Chronic Hepatitis C
    Anna Kleczka, Bogdan Mazur, Krzysztof Tomaszek, Andrzej Gabriel, Radosław Dzik, Agata Kabała-Dzik
    Diagnostics.2023; 13(13): 2187.     CrossRef
  • Rapid and sensitive LAMP/CRISPR-powered diagnostics to detect different hepatitis C virus genotypes using an ITO-based EG-FET biosensing platform
    Hsin-Ying Ho, Wei-Sin Kao, Piyush Deval, Chia-Yen Dai, Yen-Hsu Chen, Ming-Lung Yu, Che-Hsin Lin, Ling-Shan Yu
    Sensors and Actuators B: Chemical.2023; 394: 134278.     CrossRef
  • Hepatitis C and hepatocellular carcinoma in Latin America: Elimination as a path to cancer prevention
    Spencer Goble, Angelo Z. Mattos, Manuel Mendizabal, Jose D. Debes
    Annals of Hepatology.2023; 28(6): 101149.     CrossRef
  • Self-awareness of hepatitis C infection in the United States: A cross-sectional study based on the National Health Nutrition and Examination Survey
    Karthik Gnanapandithan, Maged P. Ghali, Yury E. Khudyakov
    PLOS ONE.2023; 18(10): e0293315.     CrossRef
  • The Prevalence of Transfusion-Transmitted Diseases Among Blood Donors in the Central Blood Bank in Makkah, Saudi Arabia
    Mohammad Albshri, Palanisamy Manikandan, Mamdouh Allahyani, Abdulelah Aljuaid, Mazen M Almehmadi, Kamal Alzabeedi, Mohamed Babalgaith, Mosa Alghamdi, Faris Alharbi, Mohammed Alhazmi
    Cureus.2023;[Epub]     CrossRef
  • Assessment of the influence of vitamin D level on the course of chronic hepatitis C in comorbidity with chronic pancreatitis
    M.A. Derbak, O.V. Buchok, T.M. Ganych, O.A. Rishko, V.V. Timashev
    INTERNATIONAL JOURNAL OF ENDOCRINOLOGY (Ukraine).2023; 19(7): 478.     CrossRef
  • Real-world treatment outcome of direct-acting antivirals and patient survival rates in chronic hepatitis C virus infection in Eritrea
    Ghirmay Ghebrekidan Ghebremeskel, Michael Berhe Solomon, Oliver Okoth Achila, Samuel Tekle Mengistu, Rahel Frezghi Asmelash, Araia Berhane Mesfin, Mohammed Elfatih Hamida
    Scientific Reports.2023;[Epub]     CrossRef
  • DYNAMICS IN MAIN CLINICAL AND IMMUNOLOGICAL INDICATORS IN PATIENTS WITH COMORBIDITY OF CHRONIC HEPATITIS C AND CHRONIC PANCREATITIS FOLLOWING INTEGRATED THERAPY INCLUDING VITAMIN D
    M.A. Derbak, O.V. Buchok, O.O. Boldizhar, O.A. Rishko, M.M. Bletskan
    Актуальні проблеми сучасної медицини: Вісник Української медичної стоматологічної академії.2023; 23(4): 84.     CrossRef
  • PECULIARITIES OF THE FUNCTIONAL STATE OF THE LIVER IN PATIENTS WITH CHRONIC HEPATITIS C IN THE PRESENCE OF CHRONIC PANCREATITIS
    Mariya A. Derbak, Olha V. Buchok, Taras M. Ganich, Mariya V. Rivis, Yana V. Lazur, Viktoriya M. Polyak-Tovt, Volodymyr V. Timashev
    Wiadomości Lekarskie.2023; 76(11): 2359.     CrossRef
  • Impact of the direct acting antivirals on chronic hepatitis C prevalence on the Swiss organ transplantation list: a retrospective analysis
    Luis Falcato, Simone Temperli, Philip Bruggmann, Franz Immer
    Exploration of Digestive Diseases.2023; 2(6): 297.     CrossRef
  • ВИВЧЕННЯ ЕФЕКТИВНОСТІ ВІТАМІНУ D В СКЛАДІ КОМПЛЕКСНОЇ ТЕРАПІЇ ХРОНІЧНОГО ГЕПАТИТУ С ПОЄДНАНОГО З ХРОНІЧНИМ ПАНКРЕАТИТОМ
    Ольга Бучок , М. Дербак
    Grail of Science.2023; (34): 360.     CrossRef
  • Impact of the direct acting antivirals on chronic hepatitis C prevalence on the Swiss organ transplantation list: a retrospective analysis
    Luis Falcato, Simone Temperli, Philip Bruggmann, Franz Immer
    Exploration of Digestive Diseases.2023;[Epub]     CrossRef
  • THE EFFECT OF COMPLEX THERAPY INCLUDING VITAMIN D ON THE QUALITY OF LIFE OF PATIENTS WITH CHRONIC HEPATITIS C COMBINED WITH CHRONIC PANCREATITIS
    M. A. Derbak, O. V. Buchok, O. O. Boldizhar, M. M. Bletskan, V. V. Svistak
    Bulletin of Problems Biology and Medicine.2023; 1(2): 166.     CrossRef
  • Intrafamilial transmission risk factors and preventive measures followed by household contacts of hepatitis C patients
    Amala Abdulla Saad Ahmed, Saneya Mohamed Rizk, Nabila Abdel-Kader Abdeldaiem
    Egyptian Nursing Journal.2023; 20(2): 159.     CrossRef
  • Another Step Toward Hepatitis C Elimination: An Economic Evaluation of an Irish National Birth Cohort Testing Program
    Paul G. Carty, Conor Teljeur, Cillian F. De Gascun, Paddy Gillespie, Patricia Harrington, Aiden McCormick, Michelle O’Neill, Susan M. Smith, Mairin Ryan
    Value in Health.2022; 25(12): 1947.     CrossRef
  • Oncogenic viruses, cancer biology, and innate immunity
    Maria C White, Xinjun Wu, Blossom Damania
    Current Opinion in Immunology.2022; 78: 102253.     CrossRef
COVID-19: Original Article
Associations Between Compliance With Non-pharmaceutical Interventions and Social-distancing Policies in Korea During the COVID-19 Pandemic
Yu Seong Hwang, Heui Sug Jo
J Prev Med Public Health. 2021;54(4):230-237.   Published online June 16, 2021
DOI: https://doi.org/10.3961/jpmph.21.139
  • 4,996 View
  • 179 Download
  • 6 Crossref
AbstractAbstract AbstractSummary PDFSupplementary Material
Objectives
This study explored changes in individuals’ behavior in response to social distancing (SD) levels and the “no gatherings of more than 5 people” (NGM5) rule in Korea during the coronavirus disease 2019 (COVID-19) pandemic.
Methods
Using survey data from the COVID-19 Behavior Tracker, exploratory factor analysis extracted 3 preventive factors: maintenance of personal hygiene, avoiding going out, and avoiding meeting people. Each factor was used as a dependent variable. The chi-square test was used to compare differences in distributions between categorical variables, while binary logistic regression was performed to identify factors associated with high compliance with measures to prevent transmission.
Results
In men, all 3 factors were significantly associated with lower compliance. Younger age groups were associated with lower compliance with maintenance of personal hygiene and avoiding meeting people. Employment status was significantly associated with avoiding going out and avoiding meeting people. Residence in the capital area was significantly associated with higher compliance with personal hygiene and avoiding venturing out. Increasing SD levels were associated with personal hygiene, avoiding going out, and avoiding meeting people. The NGM5 policy was not significantly associated with compliance.
Conclusions
SD levels, gender, age, employment status, and region had explanatory power for compliance with non-pharmaceutical interventions (NPIs). Strengthening social campaigns to inspire voluntary compliance with NPIs, especially focused on men, younger people, full-time workers, and residents of the capital area is recommended. Simultaneously, efforts need to be made to segment SD measures into substrategies with detailed guidance at each level.
Summary
Korean summary
이 연구에서는 대한민국 정부가 COVID-19 방역 정책으로 시행한 ‘사회적 거리두기 단계 조절’과 ‘5인 이상 집합 금지 조치’에 대한 개인의 순응도를 파악하였다. 이를 위해 영국 임페리얼 대학이 2020년 4월부터 2021년 4월까지 24회에 걸쳐 한국인 총 13,300명에게 개인 행동을 조사한 공개 데이터를 분석하였다. 그 결과, 더 높은 수준의 사회적 거리두기 단계 – 특히 다중이용시설들이 폐쇄되는 2.5 단계 -에서 비약물적 중재 조치의 순응도와 더 강한 상관관계를 보였다. 그러나 5인 이상 집합금지는 순응도와 유의한 상관관계를 보이지 않아 사람들이 모임 인원을 제한할 뿐 지속적으로 모임을 하는 것으로 해석된다. 연령, 성별, 직업 구분, 거주지와 같은 인구-사회학적 특성들이 순응도에 영향을 주는 것으로 나타났으므로, 낮은 순응도를 보이는 인구집단의 순응도를 고취시킬 수 있도록 세부적인 전략 (예: 재택근무, 온라인회의, 온라인 수업 권장 등)이 필요하다.

Citations

Citations to this article as recorded by  
  • Behavioural Sciences Contribution to Suppressing Transmission of Covid-19 in the UK: A Systematic Literature Review
    Gill Hubbard, Chantal den Daas, Marie Johnston, Jennifer Dunsmore, Mona Maier, Rob Polson, Diane Dixon
    International Journal of Behavioral Medicine.2024; 31(1): 1.     CrossRef
  • Real-time forecasting of COVID-19 spread according to protective behavior and vaccination: autoregressive integrated moving average models
    Chieh Cheng, Wei-Ming Jiang, Byron Fan, Yu-Chieh Cheng, Ya-Ting Hsu, Hsiao-Yu Wu, Hsiao-Han Chang, Hsiao-Hui Tsou
    BMC Public Health.2023;[Epub]     CrossRef
  • The Unequal Effects of Social Distancing Policy on Subway Ridership during the COVID-19 Pandemic in Seoul, South Korea
    Jaeyoung Ha, Suyoung Jo, Hee-kyoung Nam, Sung-il Cho
    Journal of Urban Health.2022; 99(1): 77.     CrossRef
  • Do the Self-Reported Changes in Physical Activity After the Emergence of the COVID-19 Pandemic Associate With Major Depression According to Moderate to Vigorous Physical Activity Status?
    Jeong Hyun Ahn, Jin Young Nam
    Journal of Physical Activity and Health.2022; 19(7): 518.     CrossRef
  • Different patterns of excess all-cause mortality by age and sex in Hungary during the 2nd and 3rd waves of the COVID-19 pandemic
    Vince Fazekas-Pongor, Zsófia Szarvas, Norbert D. Nagy, Anna Péterfi, Zoltán Ungvári, Viktor J. Horváth, Szilvia Mészáros, Adam G. Tabák
    GeroScience.2022; 44(5): 2361.     CrossRef
  • Generic Logic Model for Coronavirus Disease-2019 Responses Based on the South Korean Experience
    Hae-ryoung Chun, Kyuhyun Yoon, Hana Kim, Eunsil Cheon, Jaeyoung Ha, Sangwoo Tak, Sung-il Cho
    Risk Management and Healthcare Policy.2021; Volume 14: 4765.     CrossRef
COVID-19: Perspective
Interpretation of the Basic and Effective Reproduction Number
Jun-Sik Lim, Sung-Il Cho, Sukhyun Ryu, Son-Il Pak
J Prev Med Public Health. 2020;53(6):405-408.   Published online October 20, 2020
DOI: https://doi.org/10.3961/jpmph.20.288
  • 6,775 View
  • 372 Download
  • 9 Crossref
AbstractAbstract PDF
In epidemiology, the basic reproduction number (R0) is a term that describes the expected number of infections generated by 1 case in a susceptible population. At the beginning of the coronavirus disease 2019 (COVID-19) pandemic, R0 was frequently referenced by the public health community and the wider public. However, this metric is often misused or misinterpreted. Moreover, the complexity of the process of estimating R0 has caused difficulties for a substantial number of researchers. In this article, in order to increase the accessibility of this concept, we address several misconceptions related to the threshold characteristics of R0 and the effective reproduction number (Rt). Moreover, the appropriate interpretation of the metrics is discussed. R0 should be considered as a population-averaged value that pools the contact structure according to a stochastic transmission process. Furthermore, it is necessary to understand the unavoidable time lag for Rt due to the incubation period of the disease.
Summary

Citations

Citations to this article as recorded by  
  • Risk perceptions and behaviors concerning rural tourism and economic-political drivers of COVID-19 policy in 2020
    Brandon Lieberthal, Sarah Jackson, Sandra de Urioste-Stone, Mumtaz Alam
    PLOS ONE.2024; 19(4): e0299841.     CrossRef
  • Hepatitis C Virus Dynamic Transmission Models Among People Who Inject Drugs
    Shiferaw Bekele Woyesa, Kellemuwa Desalegn Amente
    Infection and Drug Resistance.2023; Volume 16: 1061.     CrossRef
  • Modeling the time-dependent transmission rate using gaussian pulses for analyzing the COVID-19 outbreaks in the world
    Setianto Setianto, Darmawan Hidayat
    Scientific Reports.2023;[Epub]     CrossRef
  • A review on COVID-19 transmission, epidemiological features, prevention and vaccination
    Yuqin Zhang, Gonghua Wu, Shirui Chen, Xu Ju, Wumitijiang Yimaer, Wangjian Zhang, Shao Lin, Yuantao Hao, Jing Gu, Jinghua Li
    Medical Review.2022; 2(1): 23.     CrossRef
  • A measure to estimate the risk of imported COVID-19 cases and its application for evaluating travel-related control measures
    Heewon Kang, Kyung-Duk Min, Seonghee Jeon, Ju-Yeun Lee, Sung-il Cho
    Scientific Reports.2022;[Epub]     CrossRef
  • Study on the interaction between different pathogens of Hand, foot and mouth disease in five regions of China
    Zimei Yang, Jia Rui, Li Qi, Wenjing Ye, Yan Niu, Kaiwei Luo, Bin Deng, Shi Zhang, Shanshan Yu, Chan Liu, Peihua Li, Rui Wang, Hongjie Wei, Hesong Zhang, Lijin Huang, Simiao Zuo, Lexin Zhang, Shurui Zhang, Shiting Yang, Yichao Guo, Qinglong Zhao, Shenggen
    Frontiers in Public Health.2022;[Epub]     CrossRef
  • Transmission dynamics and control of two epidemic waves of SARS-CoV-2 in South Korea
    Sukhyun Ryu, Sheikh Taslim Ali, Eunbi Noh, Dasom Kim, Eric H. Y. Lau, Benjamin J. Cowling
    BMC Infectious Diseases.2021;[Epub]     CrossRef
  • Basic reproduction number of African swine fever in wild boars (Sus scrofa) and its spatiotemporal heterogeneity in South Korea
    Jun-Sik Lim, Eutteum Kim, Pan-Dong Ryu, Son-Il Pak
    Journal of Veterinary Science.2021;[Epub]     CrossRef
  • The detection of the epidemic phase of COVID-19 and the timing of social distancing policies in Korea
    Woohyeon Kim
    Public Health.2021; 201: 89.     CrossRef
Perspective
Yemen’s Cholera Epidemic Is a One Health Issue
Qin Xiang Ng, Michelle Lee Zhi Qing De Deyn, Wayren Loke, Wee Song Yeo
J Prev Med Public Health. 2020;53(4):289-292.   Published online June 10, 2020
DOI: https://doi.org/10.3961/jpmph.20.154
  • 5,158 View
  • 206 Download
  • 8 Crossref
AbstractAbstract PDF
Yemen has been faced with the worst cholera epidemic of modern times, with more than 1 million suspected cases and 3000 deaths at the time of writing. This problem is largely due to the longstanding civil war between pro-government forces and the Houthi armed movement, which has severely damaged already vulnerable sanitation and healthcare facilities and systems in the country. It is further compounded by a dire lack of basic amenities, chronic malnutrition, and unfavourable weather conditions. Another contributory component may be aerial transfer by cholera-infected chironomid insects. To contain the spread of cholera in Yemen, a nation-wide armistice should be negotiated, and national and local committees must be convened to coordinate efforts on the ground. Community isolation facilities with proper sanitation, reliable disposal systems, and a clean water supply should be set up to isolate and treat sick patients. The continuity of vaccination programmes should be ensured. Public health campaigns to educate local communities about good hygiene practices and nutrition are also necessary. The One Health paradigm emphasizes a multi-sectoral and transdisciplinary understanding and approach to prevent and mitigate the threat of communicable diseases. This paradigm is highly applicable to the ongoing cholera crisis in Yemen, as it demands a holistic and whole-of-society approach at the local, regional, and national levels. The key stakeholders and warring parties in Yemen must work towards a lasting ceasefire during these trying times, especially given the extra burden from the mounting severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) outbreak worldwide.
Summary

Citations

Citations to this article as recorded by  
  • Emerging zoonotic diseases in Southeast Asia in the period 2011–2022: a systematic literature review
    Thanh Trung Nguyen, Thi Ngan Mai, Sinh Dang-Xuan, Hung Nguyen-Viet, Fred Unger, Hu Suk Lee
    Veterinary Quarterly.2024; 44(1): 1.     CrossRef
  • One Health in practice: Benefits and challenges of multisectoral coordination and collaboration in managing public health risks: A meta-analysis
    Valentina Thobias Sanga, Esron D. Karimuribo, Abubakar S. Hoza
    International Journal of One Health.2024; : 26.     CrossRef
  • Transition of biological wastewater treatment from flocculent activated sludge to granular sludge systems towards circular economy
    Philip Semaha, Zhongfang Lei, Tian Yuan, Zhenya Zhang, Kazuya Shimizu
    Bioresource Technology Reports.2023; 21: 101294.     CrossRef
  • Progress toward alleviating preventable waterborne diseases over the past 30 years
    Tim Ford, Steve Hamner
    Cambridge Prisms: Water.2023;[Epub]     CrossRef
  • Early Determination of Case Fatality Rate of Covid-19 Pandemic During the Ongoing Yemeni Armed Conflict
    Abdulla Salem Bin Ghouth, Ali Ahmed Al-Waleedi, Marhami Fahriani, Firzan Nainu, Harapan Harapan
    Disaster Medicine and Public Health Preparedness.2022; 16(5): 1827.     CrossRef
  • Food security and emerging infectious disease: risk assessment and risk management
    Valeria Trivellone, Eric P. Hoberg, Walter A. Boeger, Daniel R. Brooks
    Royal Society Open Science.2022;[Epub]     CrossRef
  • Simulation-Based Assessment of Cholera Epidemic Response: A Case Study of Al-Hudaydah, Yemen
    Pei Shan Loo, Anaely Aguiar, Birgit Kopainsky
    Systems.2022; 11(1): 3.     CrossRef
  • COVID-19 Pandemic in the Midst of Civil War: Planetary Health and Plant Omics Field Notes from Aden, Yemen
    Abdulsamad Taresh Abdullah, Jawdat Hassen, Areeg Abdulsamad Abdullah, Mehmet Ağırbaşlı
    OMICS: A Journal of Integrative Biology.2020; 24(12): 685.     CrossRef
COVID-19: Perspective
A Hidden Key to COVID-19 Management in Korea: Public Health Doctors
Sejin Choi
J Prev Med Public Health. 2020;53(3):175-177.   Published online April 14, 2020
DOI: https://doi.org/10.3961/jpmph.20.105
  • 5,126 View
  • 172 Download
  • 11 Crossref
AbstractAbstract PDF
Public health doctors of Korea contributed significantly to massive coronavirus disease 2019 (COVID-19) testing. They were immediately dispatched to epicenters of the COVID-19 pandemic, and have run tests at screening centers, airport quarantines and hospitals. However, their expertise from in-field experience has been often neglected. It is time to reorganize public health doctor system to better prepare for future epidemics. Transforming and strengthening their roles as public health experts through systematic training is crucial.
Summary

Citations

Citations to this article as recorded by  
  • A Retrospective Cohort Study of the 2018 Angiotensin Receptor Blocker Recalls and Subsequent Drug Shortages in Patients With Hypertension
    Joshua W. Devine, Mina Tadrous, Inmaculada Hernandez, Katherine Callaway Kim, Scott D. Rothenberger, Nandita Mukhopadhyay, Walid F. Gellad, Katie J. Suda
    Journal of the American Heart Association.2024;[Epub]     CrossRef
  • The COVID-19 Pandemic Response and Its Impact on Post-Corona Health Emergency and Disaster Risk Management in Republic of Korea
    Jaeyoung Park, Jeehee Min, Ji-Hun Song, Min Young Park, Hyoungseob Yoo, Ohwi Kwon, Munyoung Yang, Seoyoung Kim, Jongin Lee, Jun-Pyo Myong
    Sustainability.2023; 15(4): 3175.     CrossRef
  • Why is Success of South Korea's Covid-19 Response Fading?
    Seung Yeun Hong, Ji Hye Lim
    International Journal of Social Determinants of Health and Health Services.2023; 53(3): 323.     CrossRef
  • A resposta da Coreia do Sul à pandemia de COVID-19: lições aprendidas e recomendações a gestores
    Thais Regis Aranha Rossi, Catharina Leite Matos Soares, Gerluce Alves Silva, Jairnilson Silva Paim, Lígia Maria Vieira-da-Silva
    Cadernos de Saúde Pública.2022;[Epub]     CrossRef
  • Digital contact tracing in the pandemic cities: Problematizing the regime of traceability in South Korea
    Chamee Yang
    Big Data & Society.2022; 9(1): 205395172210892.     CrossRef
  • Impact of health policy on COVID-19 pandemic: a perspective framework
    Jeoungmi Kim, Francis Moses, Vasuki Rajaguru
    Journal of Global Health Science.2022;[Epub]     CrossRef
  • Considerations for diagnostic COVID-19 tests
    Olivier Vandenberg, Delphine Martiny, Olivier Rochas, Alex van Belkum, Zisis Kozlakidis
    Nature Reviews Microbiology.2021; 19(3): 171.     CrossRef
  • Associations between the working experiences at frontline of COVID-19 pandemic and mental health of Korean public health doctors
    Sangyoon Han, Sejin Choi, Seung Hyun Cho, Joonhyuk Lee, Je-Yeon Yun
    BMC Psychiatry.2021;[Epub]     CrossRef
  • Impact of COVID-19 on Lifestyle, Personal Attitudes, and Mental Health Among Korean Medical Students: Network Analysis of Associated Patterns
    Je-Yeon Yun, Ju Whi Kim, Sun Jung Myung, Hyun Bae Yoon, Sang Hui Moon, Hyunjin Ryu, Jae-Joon Yim
    Frontiers in Psychiatry.2021;[Epub]     CrossRef
  • A Systematic Narrative Review of Comprehensive Preparedness Strategies of Healthcare Resources for a Large Resurgence of COVID-19 Nationally, with Local or Regional Epidemics: Present Era and Beyond
    Young Kyung Yoon, Jacob Lee, Sang Il Kim, Kyong Ran Peck
    Journal of Korean Medical Science.2020;[Epub]     CrossRef
  • Understanding South Korea’s Response to the COVID-19 Outbreak: A Real-Time Analysis
    Eunsun Jeong, Munire Hagose, Hyungul Jung, Moran Ki, Antoine Flahault
    International Journal of Environmental Research and Public Health.2020; 17(24): 9571.     CrossRef
COVID-19: Systematic Review
Estimate of the Basic Reproduction Number for COVID-19: A Systematic Review and Meta-analysis
Yousef Alimohamadi, Maryam Taghdir, Mojtaba Sepandi
J Prev Med Public Health. 2020;53(3):151-157.   Published online March 20, 2020
DOI: https://doi.org/10.3961/jpmph.20.076
  • 23,083 View
  • 1,227 Download
  • 181 Crossref
AbstractAbstract PDF
Objectives
The outbreak of coronavirus disease 2019 (COVID-19) is one of the main public health challenges currently facing the world. Because of its high transmissibility, COVID-19 has already caused extensive morbidity and mortality in many countries throughout the world. An accurate estimation of the basic reproduction number (R0) of COVID-19 would be beneficial for prevention programs. In light of discrepancies in original research on this issue, this systematic review and meta-analysis aimed to estimate the pooled R0 for COVID-19 in the current outbreak.
Methods
International databases (including Google Scholar, Science Direct, PubMed, and Scopus) were searched to identify studies conducted regarding the R0 of COVID-19. Articles were searched using the following keywords: “COVID-19” and “basic reproduction number” or “R0.” The heterogeneity among studies was assessed using the I2 index, the Cochran Q test, and T2. A random-effects model was used to estimate R0 in this study.
Results
The mean reported R0 in the identified articles was 3.38±1.40, with a range of 1.90 to 6.49. According to the results of the random-effects model, the pooled R0 for COVID-19 was estimated as 3.32 (95% confidence interval, 2.81 to 3.82). According to the results of the meta-regression analysis, the type of model used to estimate R0 did not have a significant effect on heterogeneity among studies (p=0.81).
Conclusions
Considering the estimated R0 for COVID-19, reducing the number of contacts within the population is a necessary step to control the epidemic. The estimated overall R0 was higher than the World Health Organization estimate.
Summary

Citations

Citations to this article as recorded by  
  • Optimal resource allocation model for COVID-19: a systematic review and meta-analysis
    Yu-Yuan Wang, Wei-Wen Zhang, Ze-xi Lu, Jia-lin Sun, Ming-xia Jing
    BMC Infectious Diseases.2024;[Epub]     CrossRef
  • Building a Simple Model to Assess the Impact of Case Investigation and Contact Tracing for Sexually Transmitted Diseases: Lessons From COVID-19
    François M. Castonguay, Harrell W. Chesson, Seonghye Jeon, Gabriel Rainisch, Leah S. Fischer, Biswha B. Adhikari, Emily B. Kahn, Bradford Greening, Thomas L. Gift, Martin I. Meltzer
    AJPM Focus.2024; 3(1): 100147.     CrossRef
  • SARS-CoV-2 incidence monitoring and statistical estimation of the basic and time-varying reproduction number at the early onset of the pandemic in 45 sub-Saharan African countries
    Michael Safo Oduro, Seth Arhin-Donkor, Louis Asiedu, Damazo T. Kadengye, Samuel Iddi
    BMC Public Health.2024;[Epub]     CrossRef
  • Looking under the lamp-post: quantifying the performance of contact tracing in the United States during the SARS-CoV-2 pandemic
    Henry Bayly, Madison Stoddard, Debra Van Egeren, Eleanor J Murray, Julia Raifman, Arijit Chakravarty, Laura F White
    BMC Public Health.2024;[Epub]     CrossRef
  • Dynamic analysis of generalized epidemic models with latent period, quarantine, governmental intervention and Ornstein–Uhlenbeck process
    Tan Su, Xinhong Zhang, Daqing Jiang
    Nonlinear Dynamics.2024;[Epub]     CrossRef
  • A Dynamic Reaction-restore-type Transmission-rate Model for COVID-19
    Fernando Córdova-Lepe, Juan Pablo Gutiérrez-Jara
    WSEAS TRANSACTIONS ON BIOLOGY AND BIOMEDICINE.2024; 21: 118.     CrossRef
  • Modeling SARS‐CoV‐2 True Infections in Catalonia through a Digital Twin
    Pau Fonseca i Casas, Joan Garcia i Subirana, Victor Garcia i Carrasco
    Advanced Theory and Simulations.2023;[Epub]     CrossRef
  • Risk Mitigation Strategy against SARS-CoV-2 Infection for Healthcare Provider at Harapan Bersama General Hospital, Singkawang, Indonesia
    Rizki Rahim, Andreasta Meliala
    Hospital Topics.2023; 101(4): 381.     CrossRef
  • Reducing the basic reproduction number of COVID-19: a model simulation focused on QALYs, hospitalisation, productivity costs and optimal (soft) lockdown
    Jose Robles-Zurita
    The European Journal of Health Economics.2023; 24(4): 647.     CrossRef
  • Waco COVID Survey: A Community-Based SARS-CoV-2 Serological Surveillance Study in Central Texas
    Michael P. Muehlenbein, Jeffrey Gassen, Tomasz J. Nowak, Alexandria D. Henderson, Sally P. Weaver, Erich J. Baker
    Journal of Community Health.2023; 48(1): 104.     CrossRef
  • COVID-19 epidemic and public health interventions in Shanghai, China: Statistical analysis of transmission, correlation and conversion
    Dali Yi, Xicheng Chen, Haojia Wang, Qiuyue Song, Ling Zhang, Pengpeng Li, Wei Ye, Jia Chen, Fang Li, Dong Yi, Yazhou Wu
    Frontiers in Public Health.2023;[Epub]     CrossRef
  • Bounding pandemic spread by heat spread
    Teddy Lazebnik, Uri Itai
    Journal of Engineering Mathematics.2023;[Epub]     CrossRef
  • Macroeconomic consequences of the COVID-19 pandemic
    Terrie Walmsley, Adam Rose, Richard John, Dan Wei, Jakub P. Hlávka, Juan Machado, Katie Byrd
    Economic Modelling.2023; 120: 106147.     CrossRef
  • Monkeypox 2022: Emerging zoonotic epidemic threat, future implications, and way ahead
    Suraj Kapoor, Ashvin Varadharajan
    Journal of Public Health and Primary Care.2023; 4(1): 8.     CrossRef
  • Forty‐seven year trend of measles in Iran: An interrupted time series analysis
    Yousef Alimohamadi, Mojtaba Sepandi
    Health Science Reports.2023;[Epub]     CrossRef
  • A mathematical model for the spread of Omicron virus based on grey prediction algorithm
    Haotian Lin, Jianze Lin, Kewei You
    Highlights in Science, Engineering and Technology.2023; 36: 1386.     CrossRef
  • Household transmission dynamics of COVID-19 among residents of Delhi, India: a prospective case-ascertained study
    Farzana Islam, Yasir Alvi, Mohammad Ahmad, Faheem Ahmed, Anisur Rahman, Farishta Hannah D. Singh, Ayan Kumar Das, Mridu Dudeja, Ekta Gupta, Rashmi Agarwalla, Iqbal Alam, Sushovan Roy
    IJID Regions.2023; 7: 22.     CrossRef
  • Study of optimal vaccination strategies for early COVID-19 pandemic using an age-structured mathematical model: A case study of the USA
    Giulia Luebben, Gilberto González-Parra, Bishop Cervantes
    Mathematical Biosciences and Engineering.2023; 20(6): 10828.     CrossRef
  • A Stochastic Mobility-Driven spatially explicit SEIQRD COVID-19 model with VOCs, seasonality, and vaccines
    Tijs W. Alleman, Michiel Rollier, Jenna Vergeynst, Jan M. Baetens
    Applied Mathematical Modelling.2023; 123: 507.     CrossRef
  • Using advanced analysis together with fractional order derivative to investigate a smoking tobacco cancer model
    Ismail Shah, Eiman, Hussam Alrabaiah, Burhanettin Ozdemir, Ateeq ur Rehman Irshad
    Results in Physics.2023; 51: 106700.     CrossRef
  • Trajectories of COVID-19: A longitudinal analysis of many nations and subnational regions
    David Burg, Jesse H. Ausubel, Rajnesh Lal
    PLOS ONE.2023; 18(6): e0281224.     CrossRef
  • Influence spreading model for partial breakthrough effects on complex networks
    Into Almiala, Henrik Aalto, Vesa Kuikka
    Physica A: Statistical Mechanics and its Applications.2023; 630: 129244.     CrossRef
  • A Brighton Collaboration standardized template with key considerations for a benefit/risk assessment for the Novavax COVID-19 Vaccine (NVX-CoV2373), a recombinant spike protein vaccine with Matrix-M adjuvant to prevent disease caused by SARS-CoV-2 viruses
    Bethanie Wilkinson, Kinjal S. Patel, Katherine Smith, Robert Walker, Chengbin Wang, Ann M. Greene, Gale Smith, Emily R. Smith, Marc Gurwith, Robert T. Chen
    Vaccine.2023; 41(45): 6762.     CrossRef
  • Modelling influenza and SARS-CoV-2 interaction: Analysis for Catalonia region
    Pau Fonseca i Casas, Victor Garcia i Carrasco, Joan Garcia i Subirana
    Journal of Algorithms & Computational Technology.2023;[Epub]     CrossRef
  • Measuring the efficacy of a vaccine during an epidemic
    Antonio Scala, Pierpaolo Cavallo, Tiago Pereira
    PLOS ONE.2023; 18(9): e0290652.     CrossRef
  • Fast bilateral weighted least square for the detail enhancement of COVID-19 chest X-rays
    Wenyan Bian, Yang Yang
    DIGITAL HEALTH.2023;[Epub]     CrossRef
  • Structural Econometric Estimation of the Basic Reproduction Number for COVID-19 Across U.S. States and Selected Countries
    Ida Johnsson, M. Hashem Pesaran, Cynthia Fan Yang
    SSRN Electronic Journal.2023;[Epub]     CrossRef
  • SARS-CoV-2: An Update on the Biological Interplay with the Human Host
    Giuseppe Lippi, Fabian Sanchis-Gomar, Camilla Mattiuzzi, Brandon M. Henry
    COVID.2023; 3(10): 1586.     CrossRef
  • A data-driven semi-parametric model of SARS-CoV-2 transmission in the United States
    John M. Drake, Andreas Handel, Éric Marty, Eamon B. O’Dea, Tierney O’Sullivan, Giovanni Righi, Andrew T. Tredennick, Gerardo Chowell
    PLOS Computational Biology.2023; 19(11): e1011610.     CrossRef
  • Reaction–Diffusion Equations in Mathematical Models Arising in Epidemiology
    Vasyl’ Davydovych, Vasyl’ Dutka, Roman Cherniha
    Symmetry.2023; 15(11): 2025.     CrossRef
  • Multivariate Forecasting Model for COVID-19 Spread Based on Possible Scenarios in Ecuador
    Juan Guamán, Karen Portilla, Paúl Arias-Muñoz, Gabriel Jácome, Santiago Cabrera, Luis Álvarez, Bolívar Batallas, Hernán Cadena, Juan Carlos García
    Mathematics.2023; 11(23): 4721.     CrossRef
  • Direct indicators of social distancing effectiveness in COVID-19 outbreak stages: a correlational analysis of case contacts and population mobility in Korea
    Sojin Choi, Chanhee Kim, Kun-Hee Park, Jong-Hun Kim
    Epidemiology and Health.2023; 45: e2023065.     CrossRef
  • Screening multi‐dimensional heterogeneous populations for infectious diseases under scarce testing resources, with application to COVID‐19
    Hussein El Hajj, Douglas R. Bish, Ebru K. Bish, Hrayer Aprahamian
    Naval Research Logistics (NRL).2022; 69(1): 3.     CrossRef
  • COVID-19 Global Humanitarian Response Plan: An optimal distribution model for high-priority countries
    Ibrahim M. Hezam
    ISA Transactions.2022; 124: 1.     CrossRef
  • Health and Public Health Implications of COVID‐19 in Asian Countries
    Atsushi Miyawaki, Yusuke Tsugawa
    Asian Economic Policy Review.2022; 17(1): 18.     CrossRef
  • Implications for clinical dental practice during the coronavirus disease pandemic: A scoping review
    Kazumichi Yonenaga, Shunsuke Itai, Kazuto Hoshi
    Journal of Prosthodontic Research.2022; 66(1): 6.     CrossRef
  • Objective Evaluation of Olfactory and Taste Dysfunction Among COVID-19 Patients: A Cross Sectional Study from Tribal India
    Izhar Khan, Vikas Gupta, Sanjay Kumar Shukla
    Indian Journal of Otolaryngology and Head & Neck Surgery.2022; 74(S2): 3193.     CrossRef
  • A strict mask policy for hospital staff effectively prevents nosocomial influenza infections and mortality: monocentric data from five consecutive influenza seasons
    A. Ambrosch, D. Luber, F. Klawonn, M. Kabesch
    Journal of Hospital Infection.2022; 121: 82.     CrossRef
  • Effectiveness of social distancing interventions in containing COVID-19 incidence: International evidence using Kalman filter
    Navendu Prakash, Bhavya Srivastava, Shveta Singh, Seema Sharma, Sonali Jain
    Economics & Human Biology.2022; 44: 101091.     CrossRef
  • Validación preclínica de un respirador de turbina para la ventilación invasiva: el respirador ACUTE-19
    J.M. Alonso-Iñigo, G. Mazzinari, M. Casañ-Pallardó, J.I. Redondo-García, J. Viscasillas-Monteagudo, A. Gutierrez-Bautista, J. Ramirez-Faz, P. Alonso-Pérez, S. Díaz-Lobato, A.S. Neto, O. Diaz-Cambronero, P. Argente-Navarro, M. Gama de Abreu, P. Pelosi, M.J
    Revista Española de Anestesiología y Reanimación.2022; 69(9): 544.     CrossRef
  • An algorithm for the direct estimation of the parameters of the SIR epidemic model from the I(t) dynamics
    François G. Schmitt
    The European Physical Journal Plus.2022;[Epub]     CrossRef
  • The efficacy of deep learning based LSTM model in forecasting the outbreak of contagious diseases
    Nurul Absar, Nazim Uddin, Mayeen Uddin Khandaker, Habib Ullah
    Infectious Disease Modelling.2022; 7(1): 170.     CrossRef
  • Quantifying transmissibility of SARS-CoV-2 and impact of intervention within long-term healthcare facilities
    Jessica E. Stockdale, Sean C. Anderson, Andrew M. Edwards, Sarafa A. Iyaniwura, Nicola Mulberry, Michael C. Otterstatter, Naveed Z. Janjua, Daniel Coombs, Caroline Colijn, Michael A. Irvine
    Royal Society Open Science.2022;[Epub]     CrossRef
  • Cost-effective proactive testing strategies during COVID-19 mass vaccination: A modelling study
    Zhanwei Du, Lin Wang, Yuan Bai, Xutong Wang, Abhishek Pandey, Meagan C. Fitzpatrick, Matteo Chinazzi, Ana Pastore y Piontti, Nathaniel Hupert, Michael Lachmann, Alessandro Vespignani, Alison P. Galvani, Benjamin J. Cowling, Lauren Ancel Meyers
    The Lancet Regional Health - Americas.2022; 8: 100182.     CrossRef
  • Epidemiological Characteristics and Transmissibility for SARS-CoV-2 of Population Level and Cluster Level in a Chinese City
    Shanshan Yu, Shufeng Cui, Jia Rui, Zeyu Zhao, Bin Deng, Chan Liu, Kangguo Li, Yao Wang, Zimei Yang, Qun Li, Tianmu Chen, Shan Wang
    Frontiers in Public Health.2022;[Epub]     CrossRef
  • Real-time pandemic surveillance using hospital admissions and mobility data
    Spencer J. Fox, Michael Lachmann, Mauricio Tec, Remy Pasco, Spencer Woody, Zhanwei Du, Xutong Wang, Tanvi A. Ingle, Emily Javan, Maytal Dahan, Kelly Gaither, Mark E. Escott, Stephen I. Adler, S. Claiborne Johnston, James G. Scott, Lauren Ancel Meyers
    Proceedings of the National Academy of Sciences.2022;[Epub]     CrossRef
  • Anxiety Linked to COVID-19: A Systematic Review Comparing Anxiety Rates in Different Populations
    Hafsah Saeed, Ardalan Eslami, Najah T. Nassif, Ann M. Simpson, Sara Lal
    International Journal of Environmental Research and Public Health.2022; 19(4): 2189.     CrossRef
  • A simple electrical-circuit analogous phenomenological COVID-19 model valid for all observed pandemic phases
    J. C. Nolasco, J. T. García, A. Castro-Chacón, A. Castro-Carranza, J. Gutowski
    AIP Advances.2022;[Epub]     CrossRef
  • SARS-CoV-2 outbreak in a Canadian suburban tertiary hospital necessitating full facility closure: a descriptive observational study
    Jamil N. Kanji, Y.L. Elaine Chan, Lesia R. Boychuk, Curtiss Boyington, Sebora Turay, Melissa Kobelsky, Carolyn Doroshuk, Philana Choo, Susan Jacka, Erin Roberts, Karen Leighton, Stephanie W. Smith, Christopher Sikora, Robert Black
    CMAJ Open.2022; 10(1): E137.     CrossRef
  • Local Surveillance of the COVID-19 Outbreak
    Caifen Liu, Lingfeng Xu, Yuan Bai, Xiaoke Xu, Eric H. Y. Lau, Benjamin J. Cowling, Zhanwei Du
    Frontiers in Physics.2022;[Epub]     CrossRef
  • A review on COVID-19 transmission, epidemiological features, prevention and vaccination
    Yuqin Zhang, Gonghua Wu, Shirui Chen, Xu Ju, Wumitijiang Yimaer, Wangjian Zhang, Shao Lin, Yuantao Hao, Jing Gu, Jinghua Li
    Medical Review.2022; 2(1): 23.     CrossRef
  • Cost-effectiveness analysis on COVID-19 surveillance strategy of large-scale sports competition
    Xuechun Wang, Yiru Cai, Bo Zhang, Xiangyu Zhang, Lianhao Wang, Xiangyu Yan, Mingchen Zhao, Yuan Zhang, Zhongwei Jia
    Infectious Diseases of Poverty.2022;[Epub]     CrossRef
  • Social and Policy Determinants of COVID-19 Infection Across 23 Countries: An Ecological Study
    Kyungsik Kim, Young-Do Jeung, Jeoungbin Choi, Sue K. Park
    Journal of Preventive Medicine and Public Health.2022; 55(2): 144.     CrossRef
  • Perspectives on factors influencing transmission of COVID-19 in Zambia: a qualitative study of health workers and community members
    Cephas Sialubanje, Doreen C Sitali, Nawa Mukumbuta, Libonda Liyali, Phyllis Ingutu Sumbwa, Harvey Kakoma Kamboyi, Mary Ng'andu, Fastone Matthew Goma
    BMJ Open.2022; 12(4): e057589.     CrossRef
  • Factors Associated With Mortality Among the COVID-19 Patients Treated at Gulu Regional Referral Hospital: A Retrospective Study
    Steven Baguma, Christopher Okot, Nelson Onira Alema, Paska Apiyo, Paska Layet, Denis Acullu, Johnson Nyeko Oloya, Denis Ochula, Pamela Atim, Patrick Odong Olwedo, Smart Godfrey Okot, Freddy Wathum Drinkwater Oyat, Janet Oola, Eric Nzirakaindi Ikoona, Judi
    Frontiers in Public Health.2022;[Epub]     CrossRef
  • Optimal intervention strategies to mitigate the COVID-19 pandemic effects
    Andreas Kasis, Stelios Timotheou, Nima Monshizadeh, Marios Polycarpou
    Scientific Reports.2022;[Epub]     CrossRef
  • COVID‐19 infection in an infant with cystic fibrosis: A case report and possible therapeutic effect of hypertonic saline
    Seyed Javad Seyedi, Hossein Sadeghi, Hamid‐Reza Kianifar, Abdolkarim Hamedi, Amin Saeidinia
    Clinical Case Reports.2022;[Epub]     CrossRef
  • Data analysis and prediction of the COVID-19 outbreak in the first and second waves for top 5 affected countries in the world
    Ashabul Hoque, Abdul Malek, K. M. Rukhsad Asif Zaman
    Nonlinear Dynamics.2022; 109(1): 77.     CrossRef
  • The influence of gender on COVID-19 infections and mortality in Germany: Insights from age- and gender-specific modeling of contact rates, infections, and deaths in the early phase of the pandemic
    Achim Doerre, Gabriele Doblhammer, Siew Ann Cheong
    PLOS ONE.2022; 17(5): e0268119.     CrossRef
  • The impact of vaccination against the new coronavirus infection on the morbidity of university students
    Sergey A. Sayganov, Anna V. Lubimova, Alexandr V. Meltser, Zakhar V. Lopatin, Olga Yu. Kuznetsova, Olga V. Kovaleva
    Russian Family Doctor.2022; 26(1): 21.     CrossRef
  • COVID-19: Clinical features, case fatality, and the effect of symptoms on mortality in hospitalized cases in Iran
    Yousef Alimohamadi, Mojtaba Sepandi, Roya Rashti, Homeira Sedighinezhad, Sima Afrashteh
    Journal of Taibah University Medical Sciences.2022; 17(5): 725.     CrossRef
  • The Basic Reproduction Number and Delayed Action of T Cells for Patients Infected with SARS-CoV-2
    Yingdong Yin, Yupeng Xi, Cheng Xu, Qiwen Sun
    Mathematics.2022; 10(12): 2017.     CrossRef
  • Understanding Dynamics of Pandemic Models to Support Predictions of COVID-19 Transmission: Parameter Sensitivity Analysis of SIR-Type Models
    Chunfeng Ma, Xin Li, Zebin Zhao, Feng Liu, Kun Zhang, Adan Wu, Xiaowei Nie
    IEEE Journal of Biomedical and Health Informatics.2022; 26(6): 2458.     CrossRef
  • Estimating the course of the COVID-19 pandemic in Germany via spline-based hierarchical modelling of death counts
    Tobias Wistuba, Andreas Mayr, Christian Staerk
    Scientific Reports.2022;[Epub]     CrossRef
  • Adding a reaction-restoration type transmission rate dynamic-law to the basic SEIR COVID-19 model
    Fernando Córdova-Lepe, Katia Vogt-Geisse, Fabio A Sanchez
    PLOS ONE.2022; 17(6): e0269843.     CrossRef
  • SARS-CoV-2 Risk Quantification Model and Validation Based on Large-Scale Dutch Test Events
    Bas Kolen, Laurens Znidarsic, Andreas Voss, Simon Donders, Iris Kamphorst, Maarten van Rijn, Dimitri Bonthuis, Merit Clocquet, Maarten Schram, Rutger Scharloo, Tim Boersma, Tim Stobernack, Pieter van Gelder
    International Journal of Environmental Research and Public Health.2022; 19(12): 7238.     CrossRef
  • Testing and isolation to prevent overloaded healthcare facilities and reduce death rates in the SARS-CoV-2 pandemic in Italy
    Arnab Bandyopadhyay, Marta Schips, Tanmay Mitra, Sahamoddin Khailaie, Sebastian C. Binder, Michael Meyer-Hermann
    Communications Medicine.2022;[Epub]     CrossRef
  • Autoregressive count data modeling on mobility patterns to predict cases of COVID-19 infection
    Jing Zhao, Mengjie Han, Zhenwu Wang, Benting Wan
    Stochastic Environmental Research and Risk Assessment.2022; 36(12): 4185.     CrossRef
  • Epidemiological investigation of the COVID-19 outbreak in Vellore district in South India using Geographic Information Surveillance (GIS)
    Malathi Murugesan, Padmanaban Venkatesan, Senthil Kumar, Premkumar Thangavelu, Winsley Rose, Jacob John, Marx Castro, T. Manivannan, Venkata Raghava Mohan, Priscilla Rupali
    International Journal of Infectious Diseases.2022; 122: 669.     CrossRef
  • Burden of hospital-acquired SARS-CoV-2 infections in Germany: occurrence and outcomes of different variants
    M. Bonsignore, S. Hohenstein, C. Kodde, J. Leiner, K. Schwegmann, A. Bollmann, R. Möller, R. Kuhlen, I. Nachtigall
    Journal of Hospital Infection.2022; 129: 82.     CrossRef
  • Lessons from a pandemic
    Yves Eggli, Valentin Rousson, Reuben Kiggundu
    PLOS Global Public Health.2022; 2(7): e0000404.     CrossRef
  • Update on COVID-19 and Effectiveness of a Vaccination Campaign in a Global Context
    Ioannis Alexandros Charitos, Andrea Ballini, Roberto Lovero, Francesca Castellaneta, Marica Colella, Salvatore Scacco, Stefania Cantore, Roberto Arrigoni, Filiberto Mastrangelo, Mario Dioguardi
    International Journal of Environmental Research and Public Health.2022; 19(17): 10712.     CrossRef
  • Overview of the Role of Spatial Factors in Indoor SARS-CoV-2 Transmission: A Space-Based Framework for Assessing the Multi-Route Infection Risk
    Qi Zhen, Anxiao Zhang, Qiong Huang, Jing Li, Yiming Du, Qi Zhang
    International Journal of Environmental Research and Public Health.2022; 19(17): 11007.     CrossRef
  • Different forms of superspreading lead to different outcomes: Heterogeneity in infectiousness and contact behavior relevant for the case of SARS-CoV-2
    Elise J. Kuylen, Andrea Torneri, Lander Willem, Pieter J. K. Libin, Steven Abrams, Pietro Coletti, Nicolas Franco, Frederik Verelst, Philippe Beutels, Jori Liesenborgs, Niel Hens, Miles P. Davenport
    PLOS Computational Biology.2022; 18(8): e1009980.     CrossRef
  • Adjusting non-pharmaceutical interventions based on hospital bed capacity using a multi-operator differential evolution
    Victoria May P. Mendoza, Renier Mendoza, Jongmin Lee, Eunok Jung
    AIMS Mathematics.2022; 7(11): 19922.     CrossRef
  • Estimation and worldwide monitoring of the effective reproductive number of SARS-CoV-2
    Jana S Huisman, Jérémie Scire, Daniel C Angst, Jinzhou Li, Richard A Neher, Marloes H Maathuis, Sebastian Bonhoeffer, Tanja Stadler
    eLife.2022;[Epub]     CrossRef
  • Behavioral responses to risk promote vaccinating high‐contact individuals first
    Hazhir Rahmandad
    System Dynamics Review.2022; 38(3): 246.     CrossRef
  • Pre-clinical validation of a turbine-based ventilator for invasive ventilation—The ACUTE-19 ventilator
    J.M. Alonso-Iñigo, G. Mazzinari, M. Casañ-Pallardó, J.I. Redondo-García, J. Viscasillas-Monteagudo, A. Gutierrez-Bautista, J. Ramirez-Faz, P. Alonso-Pérez, S. Díaz-Lobato, A.S. Neto, O. Diaz-Cambronero, P. Argente-Navarro, M. Gama de Abreu, P. Pelosi, M.J
    Revista Española de Anestesiología y Reanimación (English Edition).2022; 69(9): 544.     CrossRef
  • Why COVID-19 modelling of progression and prevention fails to translate to the real-world
    Carl J. Heneghan, Tom Jefferson
    Advances in Biological Regulation.2022; 86: 100914.     CrossRef
  • The impact of demographic factors on the courseof COVID-19 infection
    Karolina Goroszkiewicz, Grażyna Lisowska, Natalia Zięba, Grażyna Stryjewska-Makuch, Kinga Szopińska, Maciej Misiołek
    Polski Przegląd Otorynolaryngologiczny.2022; 11(3): 1.     CrossRef
  • COVID-19 cluster size and transmission rates in schools from crowdsourced case reports
    Paul Tupper, Shraddha Pai, Caroline Colijn
    eLife.2022;[Epub]     CrossRef
  • No magic bullet: Limiting in-school transmission in the face of variable SARS-CoV-2 viral loads
    Debra Van Egeren, Madison Stoddard, Abir Malakar, Debayan Ghosh, Antu Acharya, Sk Mainuddin, Biswajit Majumdar, Deborah Luo, Ryan P. Nolan, Diane Joseph-McCarthy, Laura F. White, Natasha S. Hochberg, Saikat Basu, Arijit Chakravarty
    Frontiers in Public Health.2022;[Epub]     CrossRef
  • Risk factors for in-hospital mortality among patients with coronavirus-19 in Isfahan City, Iran
    Roya Riahi, Marziye Ghasemi, Zahra Montazeri Shatouri, Mojgan Gharipour, Mahboobeh Maghami, Hamid Melali, Ramin Sami, Aminreza Tabatabaei, SayedMohsen Hosseini
    Advanced Biomedical Research.2022; 11(1): 121.     CrossRef
  • Comparison of the Basic Reproduction Numbers for COVID-19 through Four Waves of the Pandemic in Vietnam
    Ngan Thi Mai, Giang Thi Huong Tran, Anh Huu Dang, Phuong Thi Bich Cao, Trung Thanh Nguyen, Huong Thi Lan Pham, Tra Thi Thu Vu, Hieu Van Dong, Le Thi My Huynh
    International Journal of Translational Medicine.2022; 3(1): 1.     CrossRef
  • Estimating the Basic Reproduction Number for the Second Wave of Covid-19 Pandemic in Nigeria
    Ashiribo Senapon Wusu, Olusola Aanu Olabanjo, Manuel Mazzara
    International Journal of Pure and Applied Mathematics Research.2022; 2(2): 1.     CrossRef
  • COVID-19 and India: what next?
    Ramesh Behl, Manit Mishra
    Information Discovery and Delivery.2021; 49(3): 250.     CrossRef
  • What the reproductive number R0 can and cannot tell us about COVID-19 dynamics
    Clara L. Shaw, David A. Kennedy
    Theoretical Population Biology.2021; 137: 2.     CrossRef
  • Ruling out COVID-19 by chest CT at emergency admission when prevalence is low: the prospective, observational SCOUT study
    Ulf Teichgräber, Amer Malouhi, Maja Ingwersen, Rotraud Neumann, Marina Reljic, Stefanie Deinhardt-Emmer, Bettina Löffler, Wilhelm Behringer, Jan-Christoph Lewejohann, Andreas Stallmach, Philipp Reuken
    Respiratory Research.2021;[Epub]     CrossRef
  • The challenges of containing SARS-CoV-2 via test-trace-and-isolate
    Sebastian Contreras, Jonas Dehning, Matthias Loidolt, Johannes Zierenberg, F. Paul Spitzner, Jorge H. Urrea-Quintero, Sebastian B. Mohr, Michael Wilczek, Michael Wibral, Viola Priesemann
    Nature Communications.2021;[Epub]     CrossRef
  • A model for COVID-19 with isolation, quarantine and testing as control measures
    M.S. Aronna, R. Guglielmi, L.M. Moschen
    Epidemics.2021; 34: 100437.     CrossRef
  • Understanding Viral Infection Mechanisms and Patient Symptoms for the Development of COVID-19 Therapeutics
    Hyung Muk Choi, Soo Youn Moon, Hyung In Yang, Kyoung Soo Kim
    International Journal of Molecular Sciences.2021; 22(4): 1737.     CrossRef
  • Current understanding of the surface contamination and contact transmission of SARS-CoV-2 in healthcare settings
    Hosoon Choi, Piyali Chatterjee, John D. Coppin, Julie A. Martel, Munok Hwang, Chetan Jinadatha, Virender K. Sharma
    Environmental Chemistry Letters.2021; 19(3): 1935.     CrossRef
  • Impact of climatic, demographic and disease control factors on the transmission dynamics of COVID-19 in large cities worldwide
    Soeren Metelmann, Karan Pattni, Liam Brierley, Lisa Cavalerie, Cyril Caminade, Marcus S.C. Blagrove, Joanne Turner, Kieran J. Sharkey, Matthew Baylis
    One Health.2021; 12: 100221.     CrossRef
  • Mathematical modelling to inform New Zealand’s COVID-19 response
    Shaun Hendy, Nicholas Steyn, Alex James, Michael J. Plank, Kate Hannah, Rachelle N. Binny, Audrey Lustig
    Journal of the Royal Society of New Zealand.2021; 51(sup1): S86.     CrossRef
  • Meta-analysis on Serial Intervals and Reproductive Rates for SARS-CoV-2
    Mohammad Hussein, Eman Toraih, Rami Elshazli, Manal Fawzy, August Houghton, Danielle Tatum, Mary Killackey, Emad Kandil, Juan Duchesne
    Annals of Surgery.2021; 273(3): 416.     CrossRef
  • Genomic epidemiology of a densely sampled COVID-19 outbreak in China
    Lily Geidelberg, Olivia Boyd, David Jorgensen, Igor Siveroni, Fabrícia F Nascimento, Robert Johnson, Manon Ragonnet-Cronin, Han Fu, Haowei Wang, Xiaoyue Xi, Wei Chen, Dehui Liu, Yingying Chen, Mengmeng Tian, Wei Tan, Junjie Zai, Wanying Sun, Jiandong Li,
    Virus Evolution.2021;[Epub]     CrossRef
  • Estimating the basic reproduction number for COVID-19 in Western Europe
    Isabella Locatelli, Bastien Trächsel, Valentin Rousson, Yury E. Khudyakov
    PLOS ONE.2021; 16(3): e0248731.     CrossRef
  • The S(E)IR(D) Models of the COVID-19 Epidemic in Korea
    Hee-Young Shin
    SSRN Electronic Journal .2021;[Epub]     CrossRef
  • Simulation of COVID-19 Propagation Scenarios in the Madrid Metropolitan Area
    David E. Singh, Maria-Cristina Marinescu, Miguel Guzmán-Merino, Christian Durán, Concepción Delgado-Sanz, Diana Gomez-Barroso, Jesus Carretero
    Frontiers in Public Health.2021;[Epub]     CrossRef
  • The SEIR(D) Model of the COVID-19 Epidemic in Korea
    Hee-Young Shin
    SSRN Electronic Journal .2021;[Epub]     CrossRef
  • Countries with delayed COVID-19 introduction – characteristics, drivers, gaps, and opportunities
    Zheng Li, Cynthia Jones, Girum S. Ejigu, Nisha George, Amanda L. Geller, Gregory C. Chang, Alys Adamski, Ledor S. Igboh, Rebecca D. Merrill, Philip Ricks, Sara A. Mirza, Michael Lynch
    Globalization and Health.2021;[Epub]     CrossRef
  • Containment efficiency and control strategies for the corona pandemic costs
    Claudius Gros, Roser Valenti, Lukas Schneider, Kilian Valenti, Daniel Gros
    Scientific Reports.2021;[Epub]     CrossRef
  • A comparison of COVID-19 secondary attack rate in household and close contacts compared to current risk stratification guidelines of the Kerala government
    Balram Rathish, Arun Wilson, Sonya Joy
    Tropical Doctor.2021; 51(3): 461.     CrossRef
  • Evaluating the effectiveness of measures to control the novel coronavirus disease 2019 in Jilin Province, China
    Qinglong Zhao, Yao Wang, Meng Yang, Meina Li, Zeyu Zhao, Xinrong Lu, Bo Shen, Bo Luan, Yifei Zhao, Bonan Cao, Laishun Yao, Benhua Zhao, Yanhua Su, Tianmu Chen
    BMC Infectious Diseases.2021;[Epub]     CrossRef
  • Impact of Meteorological Conditions on the Dynamics of the COVID-19 Pandemic in Poland
    Bogdan Bochenek, Mateusz Jankowski, Marta Gruszczynska, Grzegorz Nykiel, Maciej Gruszczynski, Adam Jaczewski, Michal Ziemianski, Robert Pyrc, Mariusz Figurski, Jarosław Pinkas
    International Journal of Environmental Research and Public Health.2021; 18(8): 3951.     CrossRef
  • Mathematical modeling of spatio-temporal population dynamics and application to epidemic spreading
    Stefanie Winkelmann, Johannes Zonker, Christof Schütte, Nataša Djurdjevac Conrad
    Mathematical Biosciences.2021; 336: 108619.     CrossRef
  • Novel coronavirus disease 2019 (COVID-19) pandemic: From transmission to control with an interdisciplinary vision
    Uttpal Anand, Carlo Cabreros, Joyabrata Mal, Florencio Ballesteros, Mika Sillanpää, Vijay Tripathi, Elza Bontempi
    Environmental Research.2021; 197: 111126.     CrossRef
  • Tweet Topics and Sentiments Relating to COVID-19 Vaccination Among Australian Twitter Users: Machine Learning Analysis
    Stephen Wai Hang Kwok, Sai Kumar Vadde, Guanjin Wang
    Journal of Medical Internet Research.2021; 23(5): e26953.     CrossRef
  • Modelling the impact of household size distribution on the transmission dynamics of COVID-19
    Pengyu Liu, Lisa McQuarrie, Yexuan Song, Caroline Colijn
    Journal of The Royal Society Interface.2021;[Epub]     CrossRef
  • Previsione della propagazione di SARS-CoV-2 nello Stato di Amapá, Amazzonia, Brasile, mediante modellazione matematica
    Neylan Leal Dias, Edcarlos Vasconcelos da Silva, Marcelo Amanajas Pires, Daniel Chaves, Katsumi Letra Sanada, Amanda Alves Fecury, Cláudio Alberto Gellis de Mattos Dias, Euzébio de Oliveira, Carla Viana Dendasck, Simone Delphim Leal
    Revista Científica Multidisciplinar Núcleo do Conhecimento.2021; : 73.     CrossRef
  • Estimation of Transmission of COVID-19 in Simulated Nursing Homes With Frequent Testing and Immunity-Based Staffing
    Inga Holmdahl, Rebecca Kahn, James A. Hay, Caroline O. Buckee, Michael J. Mina
    JAMA Network Open.2021; 4(5): e2110071.     CrossRef
  • Estimation of novel coronavirus (COVID‐19) reproduction number and case fatality rate: A systematic review and meta‐analysis
    Tanvir Ahammed, Aniqua Anjum, Mohammad Meshbahur Rahman, Najmul Haider, Richard Kock, Md Jamal Uddin
    Health Science Reports.2021;[Epub]     CrossRef
  • Modelling the Impact of Robotics on Infectious Spread Among Healthcare Workers
    Raul Vicente, Youssef Mohamed, Victor M. Eguíluz, Emal Zemmar, Patrick Bayer, Joseph S. Neimat, Juha Hernesniemi, Bradley J. Nelson, Ajmal Zemmar
    Frontiers in Robotics and AI.2021;[Epub]     CrossRef
  • Who complies with coronavirus disease 2019 precautions and who does not?
    Róbert Urbán, Orsolya Király, Zsolt Demetrovics
    Current Opinion in Psychiatry.2021; 34(4): 363.     CrossRef
  • Gamma irradiation-mediated inactivation of enveloped viruses with conservation of genome integrity: Potential application for SARS-CoV-2 inactivated vaccine development
    Fouad A. Abolaban, Fathi M. Djouider
    Open Life Sciences.2021; 16(1): 558.     CrossRef
  • COVID-19 herd immunity in the absence of a vaccine: an irresponsible approach
    Jade Khalife, Derrick VanGennep
    Epidemiology and Health.2021; 43: e2021012.     CrossRef
  • Machine Learning for Analyzing Non-Countermeasure Factors Affecting Early Spread of COVID-19
    Vito Janko, Gašper Slapničar, Erik Dovgan, Nina Reščič, Tine Kolenik, Martin Gjoreski, Maj Smerkol, Matjaž Gams, Mitja Luštrek
    International Journal of Environmental Research and Public Health.2021; 18(13): 6750.     CrossRef
  • Impact of reduction of susceptibility to SARS-CoV-2 on epidemic dynamics in four early-seeded metropolitan regions
    Thomas J. Barrett, Karen C. Patterson, Timothy M. James, Peter Krüger
    Scientific Reports.2021;[Epub]     CrossRef
  • Asian-Origin Approved COVID-19 Vaccines and Current Status of COVID-19 Vaccination Program in Asia: A Critical Analysis
    Chiranjib Chakraborty, Ashish Ranjan Sharma, Manojit Bhattacharya, Govindasamy Agoramoorthy, Sang-Soo Lee
    Vaccines.2021; 9(6): 600.     CrossRef
  • Phylodynamics reveals the role of human travel and contact tracing in controlling the first wave of COVID-19 in four island nations
    Jordan Douglas, Fábio K Mendes, Remco Bouckaert, Dong Xie, Cinthy L Jiménez-Silva, Christiaan Swanepoel, Joep de Ligt, Xiaoyun Ren, Matt Storey, James Hadfield, Colin R Simpson, Jemma L Geoghegan, Alexei J Drummond, David Welch
    Virus Evolution.2021;[Epub]     CrossRef
  • The current reproduction number of COVID-19 in Saudi Arabia: is the disease controlled?
    Theeb Ayedh Alkahtani, Abdullah Alakeel, Reem Abdullah Alakeel, Faten Abdulrahman Khorshid, Hisham Hamoud Alshammari, Abdullah M. Alguwaihes, Mohammad Almohideb, Eman Merghani Ali, May Bin-Jumah, Mohamed M. Abdel-Daim, Anwar Ali Jammah
    Environmental Science and Pollution Research.2021; 28(33): 44812.     CrossRef
  • Beyond the new normal: Assessing the feasibility of vaccine-based suppression of SARS-CoV-2
    Madison Stoddard, Sharanya Sarkar, Lin Yuan, Ryan P. Nolan, Douglas E. White, Laura F. White, Natasha S. Hochberg, Arijit Chakravarty, Muhammad Adrish
    PLOS ONE.2021; 16(7): e0254734.     CrossRef
  • A multi-stage SEIR(D) model of the COVID-19 epidemic in Korea
    Hee-Young Shin
    Annals of Medicine.2021; 53(1): 1160.     CrossRef
  • A novel geo-hierarchical population mobility model for spatial spreading of resurgent epidemics
    Alexandru Topîrceanu, Radu-Emil Precup
    Scientific Reports.2021;[Epub]     CrossRef
  • THE EFFECT OF COVID 19 FEAR ON QUALITY OF LIFE IN HEMODIALYSIS PATIENTS: A CORRELATION STUDY IN TURKEY
    Ayşe Gül PARLAK, Zümrüt AKGÜN ŞAHİN
    Samsun Sağlık Bilimleri Dergisi.2021; 6(2): 367.     CrossRef
  • Is compulsory home quarantine less effective than centralized quarantine in controlling the COVID-19 outbreak? Evidence from Hong Kong
    Pengyu Zhu, Xinying Tan
    Sustainable Cities and Society.2021; 74: 103222.     CrossRef
  • Rates of SARS-CoV-2 transmission and vaccination impact the fate of vaccine-resistant strains
    Simon A. Rella, Yuliya A. Kulikova, Emmanouil T. Dermitzakis, Fyodor A. Kondrashov
    Scientific Reports.2021;[Epub]     CrossRef
  • Non-adherence to preventive behaviours during the COVID-19 epidemic: findings from a community study
    Róbert Urbán, Borbála Paksi, Ádám Miklósi, John B. Saunders, Zsolt Demetrovics
    BMC Public Health.2021;[Epub]     CrossRef
  • Prognostic value of neutrophil‐to‐lymphocyte ratio in COVID‐19 patients: A systematic review and meta‐analysis
    Juan R. Ulloque‐Badaracco, W. Ivan Salas‐Tello, Ali Al‐kassab‐Córdova, Esteban A. Alarcón‐Braga, Vicente A. Benites‐Zapata, Jorge L. Maguiña, Adrian V. Hernandez
    International Journal of Clinical Practice.2021;[Epub]     CrossRef
  • Determinants of COVID-19 vaccine acceptance and hesitancy: a cross-sectional study in Saudi Arabia
    Amar Ibrahim Omer Yahia, Abdullah Mohammed Alshahrani, Wael Gabir H. Alsulmi, Mohammed Mesfer M. Alqarni, Tamim Khalid Abdullah Abdulrahim, Waleed Faya H Heba, Turki Ayidh A. Alqarni, Khalid Ali Z Alharthi, Abdullah Ali A. Buhran
    Human Vaccines & Immunotherapeutics.2021; 17(11): 4015.     CrossRef
  • Modeling coupling dynamics between the transmission, intervention of COVID-19 and economic development
    Zhaowang Zhang, Lingming Kong, Hualiang Lin, Guanghu Zhu
    Results in Physics.2021; 28: 104632.     CrossRef
  • Vaccines and variants: Modelling insights into emerging issues in COVID-19 epidemiology
    Jamie M. Caldwell, Xuan Le, Lorin McIntosh, Michael T. Meehan, Samson Ogunlade, Romain Ragonnet, Genevieve K. O'Neill, James M. Trauer, Emma S. McBryde
    Paediatric Respiratory Reviews.2021; 39: 32.     CrossRef
  • Transmission of Severe Acute Respiratory Syndrome Coronavirus 2 to Close Contacts, China, January–February 2020
    Yu Li, Jianhua Liu, Zhongcheng Yang, Jianxing Yu, Chengzhong Xu, Aiqin Zhu, Hao Zhang, Xiaokun Yang, Xin Zhao, Minrui Ren, Zhili Li, Jinzhao Cui, Hongting Zhao, Xiang Ren, Chengxi Sun, Ying Cheng, Qiulan Chen, Zhaorui Chang, Junling Sun, Lance E. Rodewald
    Emerging Infectious Diseases.2021; 27(9): 2288.     CrossRef
  • Living with COVID-19: The road ahead
    Wycliffe Enli Wei, Wei Keat Tan, Alex Richard Cook, Li Yang Hsu, Yik Ying Teo, Vernon Jian Ming Lee
    Annals of the Academy of Medicine, Singapore.2021; 50(8): 619.     CrossRef
  • “Mass gathering events and COVID-19 transmission in Borriana (Spain): A retrospective cohort study”
    Salvador Domènech-Montoliu, Maria Rosario Pac-Sa, Paula Vidal-Utrillas, Marta Latorre-Poveda, Alba Del Rio-González, Sara Ferrando-Rubert, Gema Ferrer-Abad, Manuel Sánchez-Urbano, Laura Aparisi-Esteve, Gema Badenes-Marques, Belén Cervera-Ferrer, Ursula Cl
    PLOS ONE.2021; 16(8): e0256747.     CrossRef
  • Effective vaccine allocation strategies, balancing economy with infection control against COVID-19 in Japan
    Satoshi Sunohara, Toshiaki Asakura, Takashi Kimura, Shun Ozawa, Satoshi Oshima, Daigo Yamauchi, Akiko Tamakoshi, Martial L. Ndeffo Mbah
    PLOS ONE.2021; 16(9): e0257107.     CrossRef
  • THE “FLU SEASONS” AND THE MISSING DATA: A MATCHED-PAIR ANALYSIS FOR THE PANDEMIC SEASON 2019_2020
    Vincent Kay Lo Ip
    International Journal of Research -GRANTHAALAYAH.2021; 9(8): 268.     CrossRef
  • A simple model for control of COVID-19 infections on an urban campus
    Robert A. Brown
    Proceedings of the National Academy of Sciences.2021;[Epub]     CrossRef
  • Clinical Characteristics and CT Imaging Features of COVID-19 on Admission: A Retrospective Study
    Changchun Liu, Jianping Cai, Mengmeng Zhang, Huizhen Li, Chunyan Liu, Jian Dong, Jinghui Dong
    Current Medical Imaging Formerly Current Medical Imaging Reviews.2021; 17(11): 1324.     CrossRef
  • Network models to evaluate vaccine strategies towards herd immunity in COVID-19
    Josephine N.A. Tetteh, Van Kinh Nguyen, Esteban A. Hernandez-Vargas
    Journal of Theoretical Biology.2021; 531: 110894.     CrossRef
  • Examining SARS-CoV-2 Interventions in Residential Colleges Using an Empirical Network
    Hali L. Hambridge, Rebecca Kahn, Jukka-Pekka Onnela
    International Journal of Infectious Diseases.2021; 113: 325.     CrossRef
  • Immunization using a heterogeneous geo-spatial population model: A qualitative perspective on COVID-19 vaccination strategies
    Alexandru Topîrceanu
    Procedia Computer Science.2021; 192: 2095.     CrossRef
  • Epidemiological characterization of COVID-19 – Pune, 2020-2021
    SumitD Bhardwaj, ManoharLal Choudhary, YogeshK Gurav, Priya Abraham, VarshaA Potdar
    Indian Journal of Medical Research.2021; 153(5): 542.     CrossRef
  • Synergistic interventions to control COVID-19: Mass testing and isolation mitigates reliance on distancing
    Emily Howerton, Matthew J. Ferrari, Ottar N. Bjørnstad, Tiffany L. Bogich, Rebecca K. Borchering, Chris P. Jewell, James D. Nichols, William J. M. Probert, Michael C. Runge, Michael J. Tildesley, Cécile Viboud, Katriona Shea, Jennifer A. Flegg
    PLOS Computational Biology.2021; 17(10): e1009518.     CrossRef
  • Low case numbers enable long-term stable pandemic control without lockdowns
    Sebastian Contreras, Jonas Dehning, Sebastian B. Mohr, Simon Bauer, F. Paul Spitzner, Viola Priesemann
    Science Advances.2021;[Epub]     CrossRef
  • Rapid relaxation of pandemic restrictions after vaccine rollout favors growth of SARS-CoV-2 variants: A model-based analysis
    Debra Van Egeren, Madison Stoddard, Alexander Novokhodko, Michael S. Rogers, Diane Joseph-McCarthy, Bruce Zetter, Arijit Chakravarty, Martial L Ndeffo Mbah
    PLOS ONE.2021; 16(11): e0258997.     CrossRef
  • Stability, Bifurcation, and a Pair of Conserved Quantities in a Simple Epidemic System with Reinfection for the Spread of Diseases Caused by Coronaviruses
    Jorge Fernando Camacho, Cruz Vargas-De-León, Hassan A. El Morshedy
    Discrete Dynamics in Nature and Society.2021; 2021: 1.     CrossRef
  • Knowledge, Awareness, and Practices (KAP) towards COVID-19 among the marine fishers of Maharashtra State of India: An online cross-sectional Analysis
    Suhas Wasave, Sangita Wasave, Ketankumar Chaudhari, Prakash Shingare, Bharat Yadav, Sandesh Patil, Bhalchandra Naik, Amitava Mukherjee
    PLOS ONE.2021; 16(12): e0261055.     CrossRef
  • Estimating the impact of influenza on the epidemiological dynamics of SARS-CoV-2
    Matthieu Domenech de Cellès, Jean-Sebastien Casalegno, Bruno Lina, Lulla Opatowski
    PeerJ.2021; 9: e12566.     CrossRef
  • Ruling Out COVID-19 by Chest CT at Emergency Admission to Prevent In-Hospital Spread When Prevalence is Low – The Prospective, Observational SCOUT Study
    Ulf Karl-Martin Teichgräber, Amer Malouhi, Maja Ingwersen, Rotraud Neumann, Marina Reljic, Stefanie Deinhardt-Emmer, Bettina Löffler, Wilhelm Behringer, Jan-Christoph Lewejohann, Andreas Stallmach, Philipp A. Reuken
    SSRN Electronic Journal .2021;[Epub]     CrossRef
  • Analysis and forecast of COVID-19 in India, USA and Italy - an application of ARIMA Model
    Elbin Siby, Maria Joseph, Aneena Thankachan, K. K. Jose
    Biometrics & Biostatistics International Journal.2021; 10(2): 75.     CrossRef
  • Epidemiological characteristics of coronavirus disease 2019 (COVID-19) patients in IRAN: A single center study
    Mohamad Nikpouraghdam, Alireza Jalali Farahani, GholamHossein Alishiri, Soleyman Heydari, Mehdi Ebrahimnia, Hossein Samadinia, Mojtaba Sepandi, Nematollah Jonaidi Jafari, Morteza Izadi, Ali Qazvini, Ruhollah Dorostkar, Mahdi Tat, Alireza Shahriary, Gholam
    Journal of Clinical Virology.2020; 127: 104378.     CrossRef
  • Preventing major outbreaks of COVID-19 in jails
    Justin T Okano, Sally Blower
    The Lancet.2020; 395(10236): 1542.     CrossRef
  • Predição da propagação do SARS-CoV-2 no Estado do Amapá, Amazônia, Brasil, por modelagem matemática
    Neylan Leal Dias, Edcarlos Vasconcelos da Silva, Marcelo Amanajas Pires, Daniel Chaves, Katsumi Letra Sanada, Amanda Alves Fecury, Cláudio Alberto Gellis de Mattos Dias, Euzébio de Oliveira, Carla Viana Dendasck, Simone Delphim Leal
    Revista Científica Multidisciplinar Núcleo do Conhecimento.2020; : 73.     CrossRef
  • Prediction of the propagation of SARS-CoV-2 in Amapá State, Amazon Region, Brazil, by mathematical modeling
    Neylan Leal Dias, Edcarlos Vasconcelos da Silva, Marcelo Amanajas Pires, Daniel Chaves, Katsumi Letra Sanada, Amanda Alves Fecury, Cláudio Alberto Gellis de Mattos Dias, Euzébio de Oliveira, Carla Viana Dendasck, Simone Delphim Leal
    Revista Científica Multidisciplinar Núcleo do Conhecimento.2020; : 73.     CrossRef
  • Price of Delay in Covid-19 Lockdowns: Delays Spike Total Cases, Natural Experiments Reveal
    Gerard J. Tellis, Ashish Sood, Nitish Sood
    SSRN Electronic Journal .2020;[Epub]     CrossRef
  • Managing the R0 of COVID‐19: mathematics fights back
    J. J. Pandit
    Anaesthesia.2020; 75(12): 1643.     CrossRef
  • Estimating COVID-19 outbreak risk through air travel
    Yair Daon, Robin N Thompson, Uri Obolski
    Journal of Travel Medicine.2020;[Epub]     CrossRef
  • Decrease in Ambient Fine Particulate Matter during COVID-19 Crisis and Corresponding Health Benefits in Seoul, Korea
    Changwoo Han, Yun-Chul Hong
    International Journal of Environmental Research and Public Health.2020; 17(15): 5279.     CrossRef
  • “Tomorrow Never Dies”: Recent Advances in Diagnosis, Treatment, and Prevention Modalities against Coronavirus (COVID-19) amid Controversies
    Partha Laskar, Murali M. Yallapu, Subhash C. Chauhan
    Diseases.2020; 8(3): 30.     CrossRef
  • Years of Life Lost Attributable to COVID-19 in High-incidence Countries
    In-Hwan Oh, Minsu Ock, Su Yeon Jang, Dun-Sol Go, Young-Eun Kim, Yoon-Sun Jung, Ki Beom Kim, Hyesook Park, Min-Woo Jo, Seok-Jun Yoon
    Journal of Korean Medical Science.2020;[Epub]     CrossRef
  • Corona and the climate: a comparison of two emergencies
    Kira Vinke, Sabine Gabrysch, Emanuela Paoletti, Johan Rockström, Hans Joachim Schellnhuber
    Global Sustainability.2020;[Epub]     CrossRef
  • Imputation method to reduce undetected severe acute respiratory infection cases during the coronavirus disease outbreak in Brazil
    Silvano Barbosa de Oliveira, Fabiana Ganem, Wildo Navegantes de Araújo, Jordi Casabona, Mauro Niskier Sanchez, Julio Croda
    Revista da Sociedade Brasileira de Medicina Tropical.2020;[Epub]     CrossRef
  • Transmission Dynamics of the COVID-19 Epidemic at the District Level in India: Prospective Observational Study
    Suman Saurabh, Mahendra Kumar Verma, Vaishali Gautam, Nitesh Kumar, Akhil Dhanesh Goel, Manoj Kumar Gupta, Pankaj Bhardwaj, Sanjeev Misra
    JMIR Public Health and Surveillance.2020; 6(4): e22678.     CrossRef
  • Clinical Characteristics of Critically Ill Patients Infected with COVID-19 in Rasoul Akram Hospital in Iran: A Single Center Study
    Poupak Rahimzadeh, Saied Amniati, Reza Farahmandrad, Seyed Hamid Reza Faiz, Setareh Hedayati Emami, Azadeh Habibi
    Anesthesiology and Pain Medicine.2020;[Epub]     CrossRef
  • Repeated Testing in SARS-CoV-2 Infection
    Giuseppe Lippi, Fabian Sanchis-Gomar, Brandon M. Henry
    Mayo Clinic Proceedings.2020; 95(10): 2283.     CrossRef
  • COVID-19 Transmission: Bangladesh Perspective
    Masud M A, Md Hamidul Islam, Khondaker A. Mamun, Byul Nim Kim, Sangil Kim
    Mathematics.2020; 8(10): 1793.     CrossRef
  • Early management of critically ill patients with COVID‐19
    Damián Gutiérrez‐Zarate, Karina Rosas‐Sánchez, Juan Carlos Flores‐Carrillo, Salvador Medrano‐Ahumada, Michel Martínez‐Franco
    Journal of the American College of Emergency Physicians Open.2020; 1(6): 1418.     CrossRef
  • Transmissibility of coronavirus disease 2019 in Chinese cities with different dynamics of imported cases
    Ka Chun Chong, Wei Cheng, Shi Zhao, Feng Ling, Kirran N. Mohammad, Maggie Wang, Benny CY Zee, Lai Wei, Xi Xiong, Hengyan Liu, Jingxuan Wang, Enfu Chen
    PeerJ.2020; 8: e10350.     CrossRef
  • Modelling Excess Mortality in Covid-19-Like Epidemics
    Zdzislaw Burda
    Entropy.2020; 22(11): 1236.     CrossRef
  • Reproductive number of coronavirus: A systematic review and meta-analysis based on global level evidence
    Md. Arif Billah, Md. Mamun Miah, Md. Nuruzzaman Khan, Maria Elena Flacco
    PLOS ONE.2020; 15(11): e0242128.     CrossRef
  • Compositional cyber-physical epidemiology of COVID-19
    Jin Woo Ro, Nathan Allen, Weiwei Ai, Debi Prasad, Partha S. Roop
    Scientific Reports.2020;[Epub]     CrossRef
  • Responsible Communication of Romanian Companies for Ensuring Public Health in a COVID-19 Pandemic Context
    Camelia-Daniela Hategan, Ruxandra-Ioana Curea-Pitorac, Vasile-Petru Hategan
    International Journal of Environmental Research and Public Health.2020; 17(22): 8526.     CrossRef
  • COVID-19 lockdown induces disease-mitigating structural changes in mobility networks
    Frank Schlosser, Benjamin F. Maier, Olivia Jack, David Hinrichs, Adrian Zachariae, Dirk Brockmann
    Proceedings of the National Academy of Sciences.2020; 117(52): 32883.     CrossRef
  • Attitudes Toward a Potential SARS-CoV-2 Vaccine
    Kimberly A. Fisher, Sarah J. Bloomstone, Jeremy Walder, Sybil Crawford, Hassan Fouayzi, Kathleen M. Mazor
    Annals of Internal Medicine.2020; 173(12): 964.     CrossRef
  • Analysis and Forecast of COVID-19 in India, the US and Italy - An Application of Arima Model
    Elbin Siby, Maria Joseph, Noel George, Richu Rajesh, Aneena Thankachan
    SSRN Electronic Journal .2020;[Epub]     CrossRef
  • Knowledge, Perceived Beliefs, and Preventive Behaviors Related to COVID-19 Among Chinese Older Adults: Cross-Sectional Web-Based Survey
    Ying Chen, Rui Zhou, Boyan Chen, Hao Chen, Ying Li, Zhi Chen, Haihong Zhu, Hongmei Wang
    Journal of Medical Internet Research.2020; 22(12): e23729.     CrossRef
  • Vorhersage der Ausbreitung von SARS-CoV-2 im brasilianischen Bundesstaat Amapá, Amazonas, durch mathematische Modellierung
    Neylan Leal Dias, Edcarlos Vasconcelos da Silva, Marcelo Amanajas Pires, Daniel Chaves, Katsumi Letra Sanada, Amanda Alves Fecury, Cláudio Alberto Gellis de Mattos Dias, Euzébio de Oliveira, Carla Viana Dendasck, Simone Delphim Leal
    Revista Científica Multidisciplinar Núcleo do Conhecimento.2020; : 73.     CrossRef
  • Predicción de la propagación del SARS-CoV-2 en el estado de Amapá, Amazonas, Brasil, por modelado matemático
    Neylan Leal Dias, Edcarlos Vasconcelos da Silva, Marcelo Amanajas Pires, Daniel Chaves, Katsumi Letra Sanada, Amanda Alves Fecury, Cláudio Alberto Gellis de Mattos Dias, Euzébio de Oliveira, Carla Viana Dendasck, Simone Delphim Leal
    Revista Científica Multidisciplinar Núcleo do Conhecimento.2020; : 73.     CrossRef
  • Prédiction de la propagation du SRAS-CoV-2 dans l’État d’Amapá, Amazônia, Brésil, par modélisation mathématique
    Neylan Leal Dias, Edcarlos Vasconcelos da Silva, Marcelo Amanajas Pires, Daniel Chaves, Katsumi Letra Sanada, Amanda Alves Fecury, Cláudio Alberto Gellis de Mattos Dias, Euzébio de Oliveira, Carla Viana Dendasck, Simone Delphim Leal
    Revista Científica Multidisciplinar Núcleo do Conhecimento.2020; : 73.     CrossRef
  • Прогнозирование распространения SARS-CoV-2 в штате Amapá, Амазонка, Бразилия, с помощью математического моделирования
    Neylan Leal Dias, Edcarlos Vasconcelos da Silva, Marcelo Amanajas Pires, Daniel Chaves, Katsumi Letra Sanada, Amanda Alves Fecury, Cláudio Alberto Gellis de Mattos Dias, Euzébio de Oliveira, Carla Viana Dendasck, Simone Delphim Leal
    Revista Científica Multidisciplinar Núcleo do Conhecimento.2020; : 73.     CrossRef
Original Articles
‘Pneumonia Weather’: Short-term Effects of Meteorological Factors on Emergency Room Visits Due to Pneumonia in Seoul, Korea
Sangho Sohn, Wonju Cho, Jin A Kim, Alaa Altaluoni, Kwan Hong, Byung Chul Chun
J Prev Med Public Health. 2019;52(2):82-91.   Published online February 11, 2019
DOI: https://doi.org/10.3961/jpmph.18.232
  • 6,552 View
  • 208 Download
  • 18 Crossref
AbstractAbstract AbstractSummary PDF
Objectives
Many studies have explored the relationship between short-term weather and its health effects (including pneumonia) based on mortality, although both morbidity and mortality pose a substantial burden. In this study, the authors aimed to describe the influence of meteorological factors on the number of emergency room (ER) visits due to pneumonia in Seoul, Korea.
Methods
Daily records of ER visits for pneumonia over a 6-year period (2009-2014) were collected from the National Emergency Department Information System. Corresponding meteorological data were obtained from the National Climate Data Service System. A generalized additive model was used to analyze the effects. The percent change in the relative risk of certain meteorological variables, including pneumonia temperature (defined as the change in average temperature from one day to the next), were estimated for specific age groups.
Results
A total of 217 776 ER visits for pneumonia were identified. The additional risk associated with a 1°C increase in pneumonia temperature above the threshold of 6°C was 1.89 (95% confidence interval [CI], 1.37 to 2.61). Average temperature and diurnal temperature range, representing within-day temperature variance, showed protective effects of 0.07 (95% CI, 0.92 to 0.93) and 0.04 (95% CI, 0.94 to 0.98), respectively. However, in the elderly (65+ years), the effect of pneumonia temperature was inconclusive, and the directionality of the effects of average temperature and diurnal temperature range differed.
Conclusions
The term ‘pneumonia temperature’ is valid. Pneumonia temperature was associated with an increased risk of ER visits for pneumonia, while warm average temperatures and large diurnal temperature ranges showed protective effects.
Summary
Korean summary
본 연구에서는 기온 등 다양한 기상요인의 건강영향을 나타내는 표현 중 하나로 알려진 'pneumonia weather'가 역학적으로 가진 의미를 파악하고자 하였다. 이를 위해 국가응급진료정보망의 폐렴 진료기록과 기상자료개방포털 일기자료를 일반화가법모형을 이용해 분석하였다. 그 결과 pneumonia weather는 연속된 양일간 평균기온의 차이를 의미하며, 일정 수준 이상의 일간 기온차는 단기간 이후 폐렴으로 인한 응급실 내원 위험을 증가시킨다는 사실을 확인하였다.

Citations

Citations to this article as recorded by  
  • Impact of ambient temperature on respiratory disease: a case-crossover study in Seoul
    Hyewon Lee, Hee-Young Yoon
    Respiratory Research.2024;[Epub]     CrossRef
  • Extreme temperatures increase the risk of pediatric pneumonia: a systematic review and meta-analysis
    Firdian Makrufardi, Rina Triasih, Nurnaningsih Nurnaningsih, Kian Fan Chung, Sheng-Chieh Lin, Hsiao-Chi Chuang
    Frontiers in Pediatrics.2024;[Epub]     CrossRef
  • Relative Humidity Affects Acute Otitis Media Visits of Preschool Children to the Emergency Department
    Ying-Fang Jiang, Wen-Wei Luo, Xin Zhang, Dong-Dong Ren, Yi-Bo Huang
    Ear, Nose & Throat Journal.2023; 102(7): 467.     CrossRef
  • Effects of intrauterine and postnatal exposure to meteorological factors on childhood pneumonia
    Chan Lu, Wenhui Yang, Mengju Lan, Bin Li, Faming Wang
    Building and Environment.2023; 244: 110800.     CrossRef
  • Combined effect of preconceptional and prenatal exposure to air pollution and temperature on childhood pneumonia: A case-control study
    Wenhui Yang, McSherry Brownel Johnson, Hongsen Liao, Zijing Liu, Xiangrong Zheng, Chan Lu
    Environmental Research.2023; 216: 114806.     CrossRef
  • Risk Factors for Respiratory Viral Infections: A Spotlight on Climate Change and Air Pollution
    Allison J Burbank
    Journal of Asthma and Allergy.2023; Volume 16: 183.     CrossRef
  • Climate change impacts on children's respiratory health
    Olivia Kline, Mary Prunicki
    Current Opinion in Pediatrics.2023; 35(3): 350.     CrossRef
  • Single‐day and cumulative effects of ambient particulate matter exposure on emergency department visits for respiratory disease in South Korea
    Hakjung Kim, Woosung Yu
    Hong Kong Journal of Emergency Medicine.2022; 29(1): 17.     CrossRef
  • A Machine Learning-Based Study of the Effects of Air Pollution and Weather in Respiratory Disease Patients Visiting Emergency Departments
    Eu Sun Lee, Jung-Youn Kim, Young-Hoon Yoon, Seoung Bum Kim, Hyungu Kahng, Jinhyeok Park, Jaehoon Kim, Minjae Lee, Haeun Hwang, Sung Joon Park, Yan-Ren Lin
    Emergency Medicine International.2022; 2022: 1.     CrossRef
  • Impact of the COVID-19 pandemic on changes in temperature-sensitive cardiovascular and respiratory disease mortality in Japan
    Yukitaka Ohashi, Yuya Takane, Ko Nakajima, Ka Chun Chong
    PLOS ONE.2022; 17(10): e0275935.     CrossRef
  • Temperature changes between neighboring days and childhood asthma: a seasonal analysis in Shanghai, China
    Xiaoning Lei, Lijuan Liu, Renjie Chen, Cong Liu, Jianguo Hong, Lanfang Cao, Yanming Lu, Xiaoyan Dong, Xinchang Chen, Xiangwei Qiu, Min Xia, Bo Ding, Liling Qian, Libo Wang, Wenhao Zhou, Yonghao Gui, Haidong Kan, Yufeng Zhou, Xiaobo Zhang
    International Journal of Biometeorology.2021; 65(6): 827.     CrossRef
  • Impact of temperature on hospital admission for acute lower respiratory infection (ALRI) among pre-school children in Ho Chi Minh City, Vietnam
    Hieu K.T. Ngo, Ly M. T. Luong, Hong H.T.C Le, Tran Ngoc Dang, An Le Pham, Dung Phung, Phong K. Thai
    International Journal of Biometeorology.2021; 65(7): 1205.     CrossRef
  • Lagged Association between Climate Variables and Hospital Admissions for Pneumonia in South Africa
    Hugo Pedder, Thandi Kapwata, Guy Howard, Rajen N. Naidoo, Zamantimande Kunene, Richard W. Morris, Angela Mathee, Caradee Y. Wright
    International Journal of Environmental Research and Public Health.2021; 18(12): 6191.     CrossRef
  • The Bacterial Pneumonia Characteristics based on Climate and Meteorological Parameters in Indonesia, the Tropical Country: A Preliminary Study
    Bramantono Bramantono, Brian Eka Rachman, Erika Marfiani, Neneng Dewi Kurniati, Muhammad Vitanata Arifijanto, Tuksin Jearanaiwitayakul
    Biomolecular and Health Science Journal.2021; 4(1): 15.     CrossRef
  • Climate Change and the Future Health of Children in Low-Income Countries
    Sara Ajanovic, Marta Valente, Rosauro Varo, Quique Bassat
    Journal of Tropical Pediatrics.2020; 66(2): 111.     CrossRef
  • Association of meteorological factors and atmospheric particulate matter with the incidence of pneumonia: an ecological study
    K. Huh, J. Hong, J. Jung
    Clinical Microbiology and Infection.2020; 26(12): 1676.     CrossRef
  • Climate Change and Childhood Respiratory Health: A Call to Action for Paediatricians
    Maria Elisa Di Cicco, Giuliana Ferrante, Doriana Amato, Antonino Capizzi, Carlo De Pieri, Valentina Agnese Ferraro, Maria Furno, Valentina Tranchino, Stefania La Grutta
    International Journal of Environmental Research and Public Health.2020; 17(15): 5344.     CrossRef
  • Relationship of meteorological factors and air pollutants with medical care utilization for gastroesophageal reflux disease in urban area
    Ho Seok Seo, Jinwook Hong, Jaehun Jung
    World Journal of Gastroenterology.2020; 26(39): 6074.     CrossRef
High Level Physical Activity and Prevalence of Cardiovascular Disease Using the Korea National Health and Nutrition Examination Survey Data, 2007-2013
Kyounghoon Park, Byung-Joo Park
J Prev Med Public Health. 2017;50(5):320-327.   Published online September 5, 2017
DOI: https://doi.org/10.3961/jpmph.17.073
  • 6,959 View
  • 223 Download
  • 1 Crossref
AbstractAbstract PDF
Objectives
The purpose of our study was to evaluate the association between the intensity of physical activity (PA) and prevalence of cardiovascular disease (CVD) using Korean representative data. Methods: We analyzed 39 804 participant data from the Korea National Health and Nutrition Examination Survey, 2007-2013. Exposure variable was three levels of PA (low, medium, and high) in a week, and outcome variable was prevalence of CVD based on patient self-recognition and doctor’s diagnosis. Complex logistic regression analysis was performed to evaluate the relationship between level of PA and CVD adjusted by body mass index, hypertension, hypercholesterolemia, diabetes mellitus, stress recognition, household income, smoking, and current drinking. The indices of association w ere estimated as crude prevalence odds ratio (POR), adjusted POR, and their 95% confidence interval (CI). All statistical analyzes were performed using complex sample analysis procedure of the SPSS version 23.0. Results: When all variables were adjusted, only high level PA in women showed a significant association with stroke (adjusted POR by patient’s self-recognition, 0.57; 95% CI, 0.32 to 0.99, adjusted POR by doctor’s diagnosis, 0.55; 95% CI, 0.34 to 0.87) and CVD (adjusted POR by doctor’s diagnosis, 0.68; 95% CI, 0.48 to 0.96). Conclusions: High level PA in women has a significant reverse association with prevalence of stroke and CVD in Korea. Further study for elucidating the mechanism will be needed.
Summary

Citations

Citations to this article as recorded by  
  • Role of regular physical activity in modifying cardiovascular disease risk factors among elderly Korean women
    Seunghui Baek, Youngmee Kim, Lorraine S. Evangelista
    IJASS(International Journal of Applied Sports Scie.2018; 30(1): 20.     CrossRef

JPMPH : Journal of Preventive Medicine and Public Health