Journal of Preventive Medicine and Public Health

Special Article

How to Improve Influenza Vaccination Rates in the U.S.: Byung-Kwang Yoo; J Prev Med Public Health. 2011;44(4):141-148. Published online July 29, 2010; DOI: https://doi.org/10.3961/jpmph.2011.44.4.141

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Annual epidemics of seasonal influenza occur during autumn and winter in temperate regions and have imposed substantial public health and economic burdens. At the global level, these epidemics cause about 3-5 million severe cases of illness and about 0.25-0.5 million deaths each year. Although annual vaccination is the most effective way to prevent the disease and its severe outcomes, influenza vaccination coverage rates have been at suboptimal levels in many countries. For instance, the coverage rates among the elderly in 20 developed nations in 2008 ranged from 21% to 78% (median 65%). In the U.S., influenza vaccination levels among elderly population appeared to reach a "plateau" of about 70% after the late 1990s, and levels among child populations have remained at less than 50%. In addition, disparities in the coverage rates across subpopulations within a country present another important public health issue. New approaches are needed for countries striving both to improve their overall coverage rates and to eliminate disparities.

This review article aims to describe a broad conceptual framework of vaccination, and to illustrate four potential determinants of influenza vaccination based on empirical analyses of U.S. nationally representative populations. These determinants include the ongoing influenza epidemic level, mass media reporting on influenza-related topics, reimbursement rate for providers to administer influenza vaccination, and vaccine supply. It additionally proposes specific policy implications, derived from these empirical analyses, to improve the influenza vaccination coverage rate and associated disparities in the U.S., which could be generalizable to other countries.

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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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Abstract PDF

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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English Abstract

The Current Trend of Avian Influenza Viruses in Bioinformatics Research.: Insung Ahn, Hyeon S Son; J Prev Med Public Health. 2007;40(2):185-190.; DOI: https://doi.org/10.3961/jpmph.2007.40.2.185

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Abstract PDF

OBJECTIVES
Since the first human infection from avian influenza was reported in Hong Kong in 1997, many Asian countries have confirmed outbreaks of highly pathogenic H5N1 avian influenza viruses. In addition to Asian countries, the EU authorities also held an urgent meeting in February 2006 at which it was agreed that Europe could also become the next target for H5N1 avian influenza in the near future. In this paper, we provide the general and applicable information on the avian influenza in the bioinformatics field to assist future studies in preventive medicine. METHODS: We introduced some up-to-date analytical tools in bioinformatics research, and discussed the current trends of avian influenza outbreaks. Among the bioinformatics methods, we focused our interests on two topics: attern analysis using the secondary database of avian influenza, and structural analysis using the molecular dynamics simulations in vaccine design. RESULTS: Use of the public genome databases available in the bioinformatics field enabled intensive analysis of the genetic patterns. Moreover, molecular dynamic simulations have also undergone remarkable development on the basis of the high performance supercomputing infrastructure these days. CONCLUSIONS: The bioinformatics techniques we introduced in this study may be useful in preventive medicine, especially in vaccine and drug discovery.

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Identification of novel conserved functional motifs across most Influenza A viral strains
Mahmoud ElHefnawi, Osama AlAidi, Nafisa Mohamed, Mona Kamar, Iman El-Azab, Suher Zada, Rania Siam
Virology Journal.2011;[Epub] CrossRef

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