Journal of Preventive Medicine and Public Health

Original Articles

Gender Inequalities in Mental Health During the COVID-19 Pandemic: A Population-based Study in Korea: Minku Kang, Sarah Yu, Seung-Ah Choe, Daseul Moon, Myung Ki, Byung Chul Chun; J Prev Med Public Health. 2023;56(5):413-421. Published online August 19, 2023; DOI: https://doi.org/10.3961/jpmph.23.170

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Abstract Summary PDF Supplementary Material: Objectives
This study explored the effect of the coronavirus disease 2019 (COVID-19) pandemic on psychosocial stress in prime working-age individuals in Korea, focusing on gender inequalities. We hypothesized that the impact of COVID-19 on mental health would differ by age and gender, with younger women potentially demonstrating heightened vulnerability relative to men.
Methods
The study involved data from the Korea Community Health Survey and included 319 592 adults aged 30 years to 49 years. We employed log-binomial regression analysis, controlling for variables including age, education, employment status, marital status, and the presence of children. The study period included 3 phases: the period prior to the COVID-19 outbreak (pre–COVID-19), the early pandemic, and the period following the introduction of vaccinations (post-vaccination).
Results
The findings indicated that women were at a heightened risk of psychosocial stress during the early pandemic (relative risk [RR], 1.01; 95% confidence interval [CI], 0.98 to 1.05) and post-vaccination period (RR, 1.07; 95% CI, 1.04 to 1.10) compared to men. This pattern was prominent in urban women aged 30-34 years (pre–COVID-19: RR, 1.06; 95% CI, 1.02 to 1.10; early pandemic: RR, 1.16; 95% CI, 1.08 to 1.25; post-vaccination period, RR, 1.22; 95% CI, 1.14 to 1.31).
Conclusions
The COVID-19 pandemic has exerted unequal impacts on psychosocial stress among prime working-age individuals in Korea, with women, particularly those in urban areas, experiencing a heightened risk. The findings highlight the importance of addressing gender-specific needs and implementing appropriate interventions to mitigate the psychosocial consequences of the pandemic.; Summary

Korean summary
코로나19 대유행이 국내 경제활동인구의 정신건강에 미친 젠더화된 영향을 조사하였다. 연구대상자는 2017-2021년 지역사회건강조사 조사대상자 319,592명이다. 연구 결과, 대유행 이후 30-39세 연령대 여성의 스트레스 수준이 남성에 비하여 현저히 증가한 것으로 나타났으며, 사회적 거리두기를 엄격하게 시행하였던 도시 지역에서 이러한 경향이 두드러졌다. 이번 연구 결과는 대유행 대응 노력에서 취약 집단을 지원하기 위한 중재 정책의 필요성을 강조한다

Key Message
We investigate the gendered impact of the COVID-19 pandemic on the mental health of the working-age population in Korea, focusing on ages 30-49, utilizing data from the Korea Community Health Survey (KCHS) from 2017 to 2021 including 319,592 participants. Findings reveal a notable increase in stress levels among women in the 30-39 age group after the pandemic compared to men, accentuating in urban areas with stringent social distancing measures. Our results underscore the necessity for intervention policies to support vulnerable groups in pandemic response efforts.

In-depth Correlation Analysis of SARS-CoV-2 Effective Reproduction Number and Mobility Patterns: Three Groups of Countries: Mounir Ould Setti, Sylvain Tollis; J Prev Med Public Health. 2022;55(2):134-143. Published online February 10, 2022; DOI: https://doi.org/10.3961/jpmph.21.522

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Objectives
Many governments have imposed—and are still imposing—mobility restrictions to contain the coronavirus disease 2019 (COVID-19) pandemic. However, there is no consensus on whether policy-induced reductions of human mobility effectively reduce the effective reproduction number (Rt) of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Several studies based on country-restricted data reported conflicting trends in the change of the SARS-CoV-2 Rt following mobility restrictions. The objective of this study was to examine, at the global scale, the existence of regional specificities in the correlations between Rt and human mobility.
Methods
We computed the Rt of SARS-CoV-2 using data on worldwide infection cases reported by the Johns Hopkins University, and analyzed the correlation between Rt and mobility indicators from the Google COVID-19 Community Mobility Reports in 125 countries, as well as states/regions within the United States, using the Pearson correlation test, linear modeling, and quadratic modeling.
Results
The correlation analysis identified countries where Rt negatively correlated with residential mobility, as expected by policymakers, but also countries where Rt positively correlated with residential mobility and countries with more complex correlation patterns. The correlations between Rt and residential mobility were non-linear in many countries, indicating an optimal level above which increasing residential mobility is counterproductive.
Conclusions
Our results indicate that, in order to effectively reduce viral circulation, mobility restriction measures must be tailored by region, considering local cultural determinants and social behaviors. We believe that our results have the potential to guide differential refinement of mobility restriction policies at a country/regional resolution.

Summary

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The effect of social movements on COVID-19 case increases and death in Turkey
Mehmet Akif Gun, Onder Hanci
Clinical Epidemiology and Global Health.2023; 20: 101260. CrossRef
The effects of weather and mobility on respiratory viruses dynamics before and during the COVID-19 pandemic in the USA and Canada
Irma Varela-Lasheras, Lilia Perfeito, Sara Mesquita, Joana Gonçalves-Sá, Ryan S. McGinnis
PLOS Digital Health.2023; 2(12): e0000405. CrossRef

COVID-19: Original Articles

Did the Timing of State Mandated Lockdown Affect the Spread of COVID-19 Infection? A County-level Ecological Study in the United States: Megh M. Trivedi, Anirudha Das; J Prev Med Public Health. 2021;54(4):238-244. Published online July 2, 2021; DOI: https://doi.org/10.3961/jpmph.21.071

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Abstract PDF

Objectives
Previous pandemics have demonstrated that several demographic, geographic, and socioeconomic factors may play a role in increased infection risk. During this current coronavirus disease 2019 (COVID-19) pandemic, our aim was to examine the association of timing of lockdown at the county level and aforementioned risk factors with daily case rate (DCR) in the United States.
Methods
A cross-sectional study using publicly available data was performed including Americans with COVID-19 infection as of May 24, 2020. The United States counties with >100 000 population and >50 cases per 100 000 people were included. The independent variable was the days required from the declaration of lockdown to reach the target case rate (50/100 000 cases) while the dependent (outcome) variable was the DCR per 100 000 on the day of statistical calculation (May 24, 2020) after adjusting for multiple confounding socio-demographic, geographic, and health-related factors. Each independent factor was correlated with outcome variables and assessed for collinearity with each other. Subsequently, all factors with significant association to the outcome variable were included in multiple linear regression models using stepwise method. Models with best R2 value from the multiple regression were chosen.
Results
The timing of mandated lockdown order had the most significant association on the DCR per 100 000 after adjusting for multiple socio-demographic, geographic and health-related factors. Additional factors with significant association with increased DCR include rate of uninsured and unemployment.
Conclusions
The timing of lockdown order was significantly associated with the spread of COVID-19 at the county level in the United States.

Summary

Citations

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Predisposing, Enabling, and Reinforcing Factors of COVID-19 Prevention Behavior in Indonesia: A Mixed-methods Study
Putri Winda Lestari, Lina Agestika, Gusti Kumala Dewi
Journal of Preventive Medicine and Public Health.2023; 56(1): 21. CrossRef
Assessing the Impacts of COVID-19 and Social Isolation on Mental Health in the United States of America
Alexander Fulk, Raul Saenz-Escarcega, Hiroko Kobayashi, Innocent Maposa, Folashade Agusto
COVID.2023; 3(6): 807. CrossRef
Understanding mental health trends during COVID-19 pandemic in the United States using network analysis
Hiroko Kobayashi, Raul Saenz-Escarcega, Alexander Fulk, Folashade B. Agusto, Karina Cardoso Meira
PLOS ONE.2023; 18(6): e0286857. CrossRef
Conspiratorial Ideation Is Associated with Lower Perceptions of Policy Effectiveness: Views from Local Governments during the COVID-19 Pandemic
Adam Mayer, Stacia Ryder
Socius: Sociological Research for a Dynamic World.2023;[Epub] CrossRef
Effectiveness of social distancing measures and lockdowns for reducing transmission of COVID-19 in non-healthcare, community-based settings
Caitriona Murphy, Wey Wen Lim, Cathal Mills, Jessica Y. Wong, Dongxuan Chen, Yanmy Xie, Mingwei Li, Susan Gould, Hualei Xin, Justin K. Cheung, Samir Bhatt, Benjamin J. Cowling, Christl A. Donnelly
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.2023;[Epub] CrossRef
Effects of Closures and Openings on Public Health in the Time of COVID-19: A Cross-Country and Temporal Trend Analysis
Long Chu, R. Quentin Grafton, Tom Kompas, Mary-Louise McLaws
SAGE Open.2023;[Epub] CrossRef
Association mining based approach to analyze COVID-19 response and case growth in the United States
Satya Katragadda, Raju Gottumukkala, Ravi Teja Bhupatiraju, Azmyin Md. Kamal, Vijay Raghavan, Henry Chu, Ramesh Kolluru, Ziad Ashkar
Scientific Reports.2021;[Epub] CrossRef

Factors Affecting Public Non-compliance With Large-scale Social Restrictions to Control COVID-19 Transmission in Greater Jakarta, Indonesia: Bunga Christitha Rosha, Indri Yunita Suryaputri, Irlina Raswanti Irawan, Prisca Petty Arfines, Agus Triwinarto; J Prev Med Public Health. 2021;54(4):221-229. Published online June 24, 2021; DOI: https://doi.org/10.3961/jpmph.21.101

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Abstract PDF

Objectives
The Indonesian government issued large-scale social restrictions (called Pembatasan Sosial Berskala Besar, or PSBB) at the beginning of the coronavirus disease 2019 (COVID-19) pandemic to control the spread of COVID-19 in Jakarta, Bogor, Depok, Tangerang, and Bekasi (Greater Jakarta). Public compliance poses a challenge when implementing large-scale social restrictions, and various factors have contributed to public non-compliance with the regulation. This study aimed to determine the degree of non-compliance and identify the factors that contributed to public non-compliance with the PSBB in Greater Jakarta, Indonesia.
Methods
This was a quantitative study with a cross-sectional design. A total of 839 residents of Greater Jakarta participated in this study. Data were collected online using a Google Form, and convenience sampling was undertaken. Univariate and multivariate analyses were performed to explore the relationships between public non-compliance with the PSBB regulation and socio-demographic variables, respondents’ opinion of the PSBB, and social capital.
Results
A total of 22.6% of subjects reported participating in activities that did not comply with the PSBB. The variables that most affected non-compliance with the PSBB were age, gender, income, opinion of the PSBB, and social capital.
Conclusions
Strengthening social capital and providing information about COVID-19 prevention measures, such as washing one’s hands with soap, wearing masks properly, and maintaining social distancing, is essential. Robust public understanding will foster trust and cooperation with regard to COVID-19 prevention efforts and provide a basis for mutual agreement regarding rules/penalties.

Summary

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Eva Padrosa, Mireia Bolíbar
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Indonesian Ulema Council Fatwa on Religious Activities During the COVID-19 Pandemic: An Investigation of Muslim Attitudes and Practices
Yusuf Hanafi, Ahmad Taufiq, Muhammad Saefi, M. Alifudin Ikhsan, Tsania Nur Diyana, Andy Hadiyanto, Yedi Purwanto, Muhammad Fahmi Hidayatullah
Journal of Religion and Health.2023; 62(1): 627. CrossRef
Why Do We Not Follow Lifesaving Rules? Factors Affecting Nonadherence to COVID-19 Prevention Guidelines in Indonesia: Healthcare Professionals’ Perspectives
Nelsensius Klau Fauk, Alfonsa Liquory Seran, Christopher Raymond, Maria Silvia Merry, Roheena Tahir, Gregorius Abanit Asa, Paul Russell Ward
International Journal of Environmental Research and Public Health.2022; 19(14): 8502. CrossRef
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D. Daniel, Arif Kurniawan, Ajeng Rahastri Indah Pinawati, Morrin Choirunnisa Thohira, Md Annaduzzaman
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The converging influence of social, economic and psychological factors on public responsiveness to the COVID-19 pandemic in South Africa
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COVID-19: Perspective

New Obligations of Health Insurance Review and Assessment Service: Taking Full-fledged Action Against the COVID-19 Pandemic: Seung Mi Yoo, Seol Hee Chung, Won Mo Jang, Kyoung Chang Kim, Jin Yong Lee, Sun Min Kim; J Prev Med Public Health. 2021;54(1):17-21. Published online January 26, 2021; DOI: https://doi.org/10.3961/jpmph.20.594

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Abstract Summary PDF

In 2020, the coronavirus disease 2019 (COVID-19) pandemic has caused unprecedented disruptions to global health systems. The Korea has taken full-fledged actions against this novel infectious disease, swiftly implementing a testing-tracing-treatment strategy. New obligations have therefore been given to the Health Insurance Review and Assessment Service (HIRA) to devote the utmost effort towards tackling this global health crisis. Thanks to the universal national health insurance and state-of-the-art information communications technology (ICT) of the Korea, HIRA has conducted far-reaching countermeasures to detect and treat cases early, prevent the spread of COVID-19, respond quickly to surging demand for the healthcare services, and translate evidence into policy. Three main factors have enabled HIRA to undertake pandemic control preemptively and systematically: nationwide data aggregated from all healthcare providers and patients, pre-existing ICT network systems, and real-time data exchanges. HIRA has maximized the use of data and pre-existing network systems to conduct rapid and responsive measures in a centralized way, both of which have been the most critical tactics and strategies used by the Korean healthcare system. In the face of new obligations, our promise is to strive for a more responsive and resilient health system during this prolonged crisis.

Summary

Korean summary
건강보험심사평가원은 전 국민과 전체 요양기관의 축적된 정보, 전체 요양기관과 연결된 네트워크, 실시간 데이터 공유를 통해 이번 코로나19 위기 대응에 기여했다. 건강보험심사평가원은 1) 진단검사∙약제 등재, 2) 요양기관 내 고위험군 감지, 3) 마스크 중복구매 방지 시스템 구축, 4) 주요 보건의료자원 가동현황 모니터링 시스템 구축, 5) 환자관리 정보시스템 구축 및 익명화된 환자 데이터 공개로 국제협력연구 촉진의 다섯 가지 전략을 성공적으로 수행했다. 건강보험심사평가원은 현재의 보건위기 상황을 극복하고, 코로나19 시대 이후로도 새롭게 주어진 위기대응의 역할과 소명을 다할 것이다.

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Andre Q Andrade, Jean-Pierre Calabretto, Nicole L Pratt, Lisa M Kalisch-Ellett, Vanessa T Le Blanc, Elizabeth E Roughead
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COVID-19: Original Article

The Effectiveness of Community-based Social Distancing for Mitigating the Spread of the COVID-19 Pandemic in Turkey: Hasan Durmuş, Mehmet Enes Gökler, Selma Metintaş; J Prev Med Public Health. 2020;53(6):397-404. Published online November 2, 2020; DOI: https://doi.org/10.3961/jpmph.20.381

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Abstract PDF

Objectives
The objective of this study was to demonstrate the effects of community-based social distancing interventions after the first coronavirus disease 2019 (COVID-19) case in Turkey on the course of the pandemic and to determine the number of prevented cases.
Methods
In this ecological study, the interventions implemented in response to the first COVID-19 cases in Turkey were evaluated and the effect of the interventions was demonstrated by calculating the effective reproduction number (Rt) of severe acute respiratory syndrome coro navirus 2 (SARS-CoV-2) when people complied with community-based social distancing rules.
Results
Google mobility scores decreased by an average of 36.33±22.41 points (range, 2.60 to 84.80) and a median of 43.80 points (interquartile range [IQR], 24.90 to 50.25). The interventions caused the calculated Rt to decrease to 1.88 (95% confidence interval, 1.87 to 1.89). The median growth rate was 19.90% (IQR, 10.90 to 53.90). A positive correlation was found between Google mobility data and Rt (r=0.783; p<0.001). The expected number of cases if the growth rate had not changed was predicted according to Google mobility categories, and it was estimated to be 1 381 922 in total. Thus, community-based interventions were estimated to have prevented 1 299 593 people from being infected.
Conclusions
Community-based social distancing interventions significantly decreased the Rt of COVID-19 by reducing human mobility, and thereby prevented many people from becoming infected. Another important result of this study is that it shows health policy-makers that data on human mobility in the community obtained via mobile phones can be a guide for measures to be taken.

Summary

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Effectiveness of behavioural interventions to influence COVID-19 outcomes: A scoping review
Takana M. Silubonde-Moyana, Catherine E. Draper, Shane A. Norris
Preventive Medicine.2023; 172: 107499. CrossRef
Effectiveness of social distancing measures and lockdowns for reducing transmission of COVID-19 in non-healthcare, community-based settings
Caitriona Murphy, Wey Wen Lim, Cathal Mills, Jessica Y. Wong, Dongxuan Chen, Yanmy Xie, Mingwei Li, Susan Gould, Hualei Xin, Justin K. Cheung, Samir Bhatt, Benjamin J. Cowling, Christl A. Donnelly
Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.2023;[Epub] CrossRef
Predisposing, Enabling, and Reinforcing Factors of COVID-19 Prevention Behavior in Indonesia: A Mixed-methods Study
Putri Winda Lestari, Lina Agestika, Gusti Kumala Dewi
Journal of Preventive Medicine and Public Health.2023; 56(1): 21. CrossRef
The effect of social movements on COVID-19 case increases and death in Turkey
Mehmet Akif Gun, Onder Hanci
Clinical Epidemiology and Global Health.2023; 20: 101260. CrossRef
Improvement in knowledge and perception about the controlling of COVID-19: best practice of apothecary student
Chynthia Pradiftha Sari, Suci Hanifah, Yulianto Yulianto, Dian Medisa, Zahrotun Nafiah, Muhammad Alfian Lutfi
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Serkan YILDIZ, Erhan ŞİMŞEK, Ali Ramazan BENLİ
Kırıkkale Üniversitesi Tıp Fakültesi Dergisi.2023; 25(1): 1. CrossRef
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Daria Łaskawiec-Żuławińska, Marika Wlazło, Mateusz Grajek, Ilona Korzonek-Szlacheta
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Changes in the weight status of school children in Turkey during the COVID-19 lockdown period
Hasan Durmuş, Yavuzalp Solak
Early Child Development and Care.2022; 192(14): 2226. CrossRef
In-depth Correlation Analysis of SARS-CoV-2 Effective Reproduction Number and Mobility Patterns: Three Groups of Countries
Mounir Ould Setti, Sylvain Tollis
Journal of Preventive Medicine and Public Health.2022; 55(2): 134. CrossRef
Global Experiences of Community Responses to COVID-19: A Systematic Literature Review
Yijin Wu, Quan Zhang, Meiyu Li, Qingduo Mao, Linzi Li
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COVID-19: Brief Report

The Evolving Policy Debate on Border Closure in Korea: Su JIn Kang, Jihyun Moon, Heewon Kang, Heekyoung Nam, Sangwoo Tak, Sung-Il Cho; J Prev Med Public Health. 2020;53(5):302-306. Published online September 11, 2020; DOI: https://doi.org/10.3961/jpmph.20.213

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Abstract PDF Supplementary Material

Objectives
In this paper, we aimed to investigate the evolving debate over border closure in Korea during the coronavirus disease 2019 (COVID-19) pandemic, to address the main themes associated with border closure, and to discuss the factors that need to be considered when making such decisions.
Methods
We collated and reviewed previously conducted review studies on border closures during infectious disease outbreaks to derive relevant themes and factors.
Results
According to our systematic review on border closures and travel restrictions, the effects of such containment efforts are limited. We suggest considering the following factors when determining whether to impose border closure measures: (1) disease characteristics, (2) timeliness of implementation, (3) transmission delay and the basic reproduction number, (4) globalization and pandemics, and (5) social and economic costs.
Conclusions
Our assessment indicates that the effects of border closures are at best temporary and limited. Alternative measures must be contemplated and implemented to suppress the spread of COVID-19 in particular and infectious diseases more broadly.

Summary

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Nona Renner, Judith Miggelbrink, Kristine Beurskens, Antonia Zitterbart
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Olalekan A. Uthman, Olatunji O. Adetokunboh, Charles Shey Wiysonge, Sameh Al-Awlaqi, Johanna Hanefeld, Charbel El Bcheraoui
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COVID-19: Original Article

The Effects of Border Shutdowns on the Spread of COVID-19: Nahae Kang, Beomsoo Kim; J Prev Med Public Health. 2020;53(5):293-301. Published online August 30, 2020; DOI: https://doi.org/10.3961/jpmph.20.332

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Abstract PDF Supplementary Material

Objectives
At the beginning of the coronavirus disease 2019 (COVID-19) pandemic, some countries imposed entry bans against Chinese visitors. We sought to identify the effects of border shutdowns on the spread of the COVID-19 outbreak.
Methods
We used the synthetic control method to measure the effects of entry bans against Chinese visitors on the cumulative number of confirmed cases using World Health Organization situation reports as the data source. The synthetic control method constructs a synthetic country that did not shut down its borders, but is similar in all other aspects.
Results
Six countries that shut down their borders were evaluated. For Australia, the effects of the policy began to appear 4 days after implementation, and the number of COVID-19 cases dropped by 94.4%. The border shutdown policy took around 13.2 days to show positive effects and lowered COVID-19 cases by 91.7% on average by the end of February.
Conclusions
The border shutdowns in early February significantly reduced the spread of the virus. Our findings are informative for future planning of public health policies.

Summary

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Predisposing, Enabling, and Reinforcing Factors of COVID-19 Prevention Behavior in Indonesia: A Mixed-methods Study
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Exploring homesickness among international students in China during border closure
Yohana Kifle Mekonen, Michael Agyemang Adarkwah
International Journal of Intercultural Relations.2023; 94: 101800. CrossRef
Effectiveness assessment of non-pharmaceutical interventions: lessons learned from the COVID-19 pandemic
Adrian Lison, Nicolas Banholzer, Mrinank Sharma, Sören Mindermann, H Juliette T Unwin, Swapnil Mishra, Tanja Stadler, Samir Bhatt, Neil M Ferguson, Jan Brauner, Werner Vach
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COVID-19: Perspective

The Pandemic League of COVID-19: Korea Versus the United States, With Lessons for the Entire World: Alwin Issac, Shine Stephen, Jaison Jacob, Vijay VR, Rakesh Vadakkethil Radhakrishnan, Nadiya Krishnan, Manju Dhandapani; J Prev Med Public Health. 2020;53(4):228-232. Published online May 25, 2020; DOI: https://doi.org/10.3961/jpmph.20.166

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Coronavirus disease 2019 (COVID-19) is inflicting a brutal blow on humankind, and no corner of the world has been exempted from its wrath. This study analyzes the chief control measures and the distinctive features of the responses implemented by Korea and the United States to contain COVID-19 with the goal of extracting lessons that can be applied globally. Even though both nations reported their index cases on the same day, Korea succeeded in flattening the curve, with 10 752 cases as of April 28, 2020, whereas the outbreak skyrocketed in the United States, which had more than 1 million cases at the same time. The prudent and timely execution of control strategies enabled Korea to tame the spread of the virus, whereas the United States paid a major price for its delay, although it is too early to render a conclusive verdict. Information pertaining to the number of people infected with the virus and measures instituted by the government to control the spread of COVID-19 was retrieved from the United States Centers for Disease Control and Prevention and the Korea Centers for Disease Control and Prevention websites and press releases. Drawing lessons from both nations, it is evident that the resolution to the COVID-19 pandemic lies in the prudent usage of available resources, proactive strategic planning, public participation, transparency in information sharing, abiding by the regulations that are put into place, and how well the plan of action is implemented.

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Review

National Level Response to Pandemic (H1N1) 2009.: Dong Han Lee, Sang Sook Shin, Byung Yool Jun, Jong Koo Lee; J Prev Med Public Health. 2010;43(2):99-104.; DOI: https://doi.org/10.3961/jpmph.2010.43.2.99

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Abstract PDF

The World Health Organization (WHO) announced the emergence of a novel influenza on April 24, 2009, and they declared pandemic on June 11. In Korea, the proportion of influenza-like illness and the consumption of antiviral agents peaked in early November. The government established the Central Headquarters for Influenza Control and operated the emergency response system. In the quarantine stations, we checked the body temperature and collected quarantine questionnaires from all the arrivals from infected countries. We also isolated the confirmed cases in the national isolation hospitals. However, as the community outbreaks were reported, we changed strategy from containment to mitigation. We changed the antiviral agent prescription guideline so that doctors could prescribe antiviral agents to all patients with acute febrile respiratory illness, without a laboratory diagnosis. Also the 470 designated hospitals were activated to enhance the efficacy of treatment. We vaccinated about 12 million people and manage the adverse event following the immunization management system. In 2010, we will establish additional national isolation wards and support hospitals to establish fever clinics and isolation intensive care unit (ICU) beds. We will also make a computer program for managing the national isolation hospitals and designated hospitals. We will establish isolation rooms and expand the laboratory in quarantine stations and we will construct a bio-safety level 3 laboratory in each province. In addition, we plan to construct a bio-safety level 4 laboratory at a new Korea Centers for Disease Control and Prevention (KCDC) facilities in Ossong.

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Original Article

Mathematical Modeling of the Novel Influenza A (H1N1) Virus and Evaluation of the Epidemic Response Strategies in the Republic of Korea.: Mina Suh, Jeehyun Lee, Hye Jin Chi, Young Keun Kim, Dae Yong Kang, Nam Wook Hur, Kyung Hwa Ha, Dong Han Lee, Chang Soo Kim; J Prev Med Public Health. 2010;43(2):109-116.; DOI: https://doi.org/10.3961/jpmph.2010.43.2.109

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OBJECTIVES
The pandemic of novel influenza A (H1N1) virus has required decision-makers to act in the face of the substantial uncertainties. In this study, we evaluated the potential impact of the pandemic response strategies in the Republic of Korea using a mathematical model. METHODS: We developed a deterministic model of a pandemic (H1N1) 2009 in a structured population using the demographic data from the Korean population and the epidemiological feature of the pandemic (H1N1) 2009. To estimate the parameter values for the deterministic model, we used the available data from the previous studies on pandemic influenza. The pandemic response strategies of the Republic of Korea for novel influenza A (H1N1) virus such as school closure, mass vaccination (70% of population in 30 days), and a policy for anti-viral drug (treatment or prophylaxis) were applied to the deterministic model. RESULTS: The effect of two-week school closure on the attack rate was low regardless of the timing of the intervention. The earlier vaccination showed the effect of greater delays in reaching the peak of outbreaks. When it was no vaccination, vaccination at initiation of outbreak, vaccination 90 days after the initiation of outbreak and vaccination at the epidemic peak point, the total number of clinical cases for 400 days were 20.8 million, 4.4 million, 4.7 million and 12.6 million, respectively. The pandemic response strategies of the Republic of Korea delayed the peak of outbreaks (about 40 days) and decreased the number of cumulative clinical cases (8 million). CONCLUSIONS: Rapid vaccination was the most important factor to control the spread of pandemic influenza, and the response strategies of the Republic of Korea were shown to delay the spread of pandemic influenza in this deterministic model.

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Review

The Evaluation of Policies on 2009 Influenza Pandemic in Korea.: Won Suk Choi, Woo Joo Kim, Hee Jin Cheong; J Prev Med Public Health. 2010;43(2):105-108.; DOI: https://doi.org/10.3961/jpmph.2010.43.2.105

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OBJECTIVES
To evaluate the policies on 2009 influenza pandemic in Korea at the end of first wave. METHODS: The main policies and the estimation of these were described according to the progress of 2009 influenza pandemic. RESULTS: The public health measures for containment were estimated to be successful in the early stage. The preparedness of antiviral agents and vaccines before the pandemic, risk-communication on pandemic influenza and policies of government including vaccines, and the education of health care worker and support of health care institutions was not enough to respond to the pandemic. CONCLUSIONS: The additional evaluation should be performed at the end of the pandemic in various aspects including health and socioeconomic effects.

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English Abstracts

The Preparedness Plan for Influenza Pandemic.: Duk Hyoung Lee, Ki dong Park; J Prev Med Public Health. 2005;38(4):386-390.

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Abstract PDF: Influenza A viruses periodically cause worldwide epidemics, or pandemics, with high rates of illness and death. A pandemic can occur at any time, with the potential to cause serious illness, death and social and economic disruption throughout the world. Historic evidence suggests that pandemics occurred three to four times per century. In the last century there were three influenza pandemics. The circumstances still exist for a new influenza virus with pandemic potential to emerge and spread. The unpredictability of the timing of the next pandemic is underlined by the occurrence of several large outbreaks of highly pathogenic avian influenza since the early 1980s. In 1999, the World Health Organization published the Influenza pandemic plan. The role of WHO and guidelines for national and regional planning. And in 2005, WHO revised the global influenza preparedness plan for new national measures before and during pandemics. This document outlines briefly the Korean Centers for Disease Control's plan for responding to an influenza pandemic. According to the new pandemic phases of WHO, we set up the 4 national levels of preparedness and made guidelines for preventing and control the epidemics in each phase. And also we described the future plans to antiviral stockpiles and pandemic vaccine development.; Summary

Modelling the Impact of Pandemic Influenza.: Byung Chul Chun; J Prev Med Public Health. 2005;38(4):379-385.

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Abstract PDF: The impact of the next influenza pandemic is difficult to predict. It is dependent on how virulent the virus is, how rapidly it spreads from population to population, and the effectiveness of prevention and response efforts. Despite the uncertainty about the magnitude of the next pandemic, estimates of the health and economic impact remain important to aid public health policy decisions and guide pandemic planning for health and emergency sectors. Planning ahead in preparation for an influenza pandemic, with its potentially very high morbidity and mortality rates, is essential for hospital administrators and public health officials. The estimation of pandemic impact is based on the previous pandemics- we had experienced at least 3 pandemics in 20th century. But the epidemiological characteristics - ie, start season, the impact of 1st wave, pathogenicity and virulence of the viruses and the primary victims of population were quite different from one another. I reviewed methodology for estimation and modelling of pandemic impact and described some nations's results using them in their national preparedness plans. And then I showed the estimates of pandemic influenza impact in Korea with FluSurge and FluAid. And, I described the results of pandemic modelling with parameters of 1918 pandemic for the shake of education and training of the first-line responder health officials to the epidemics. In preparing influenza pandemics, the simulation and modelling are the keys to reduce the uncertainty of the future and to make proper policies to manage and control the pandemics.; Summary

Overview of Pandemic Influenza.: Woo Joo Kim; J Prev Med Public Health. 2005;38(4):373-378.

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Abstract PDF: Influenza virus has a unique characteristics of annual epidemics of acute respiratory disease with attack rate of 10%-30% of the population. It is also the classical emerging infectious disease causing global pandemics when new antigenic shift occur. This antigenic shift is the key to its ability to evoke periodic pandemics, and it has caused at least 3 pandemics in 20th century. I reviewed these 3 pandemics in their natural courses and the epidemiology of the recent emerging influenza A viruses, especially the H5 and H7 subtypes. I described the epidemics of these viruses in human population and why we should be prepared to these viruses.; Summary

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