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标题：Modeling for a Smallpox-vaccination Policy against Possible Bioterrorism in Japan: The Impact of Long-lasting Vaccinal Immunity
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作者：Hiroshi Nishiura ; I. Ming Tang
期刊名称：Journal of Epidemiology
印刷版ISSN：0917-5040
电子版ISSN：1349-9092
出版年度：2004
卷号：14
期号：2
页码：41-50
DOI：10.2188/jea.14.41
出版社：Japan Epidemiological Association
摘要：BACKGROUND: There has been concern that variola virus might be held clandestinely elsewhere. Through constructing mathematical model based on the detailed epidemiologic data, we focused on simulating the various possible scenarios arising from a bioterrorist attack whereby smallpox virus was introduced into Japan, and sought to develop the most effective way of nationwide vaccination policy based on the theory of residual immunity. METHOD: The analysis is based on a deterministic mathematical model which predicted the epidemiologic outcome while simultaneously evaluating the effect of any specified control strategy of the smallpox epidemic. To clarify the required amount of vaccines, we performed mathematical analysis for hypothetical population to acquire herd immunity based on long-lasting vaccinal immunity. RESULTS: It is demonstrated that the crude size of the potential epidemic could be greatly affected by possible level of residual immunity. The results also suggest the possibility to develop optimal distribution of nationwide vaccination according to the immune status. The prevalence at 50th day among population without immunity in our simulation would be approximately 405 times greater than expected population with residual immunity, and required amount of vaccines for equal distribution would be 3.13 times more than optimal distribution. CONCLUSION: The mathematical model formulated could determine the vaccination priority based on the real status of immunity which required much less amount of vaccinations than would be calculated using an equal distribution program. It is therefore crucial to determine the real immunity status of the population via epidemiologic studies.
关键词：smallpox;bioterrorism;models, mathematical;vaccination;immunity