A dynamic model of poliomyelitis outbreaks:: Learning from the past to help inform the future

被引:88
作者
Tebbens, RJD
Pallansch, MA
Kew, OM
Cáceres, VM
Sutter, RW
Thompson, KM
机构
[1] Harvard Univ, Sch Publ Hlth, KidsRisk Project, Boston, MA 02115 USA
[2] Delft Univ Technol, Dept Math, Delft, Netherlands
[3] Ctr Dis Control & Prevent, Natl Ctr Infect Dis, Resp & Enter Viruses Branch, Div Viral & Rickettsial Dis, Atlanta, GA USA
[4] Ctr Dis Control & Prevent, Natl Immunizat Program, Global Immunizat Div, Polio Eradicat Branch, Atlanta, GA USA
[5] WHO, Dept Immunizat Vaccines & Biol, CH-1211 Geneva, Switzerland
关键词
disease outbreaks; disease transmission; models; statistical; poliomyelitis; poliovirus; risk assessment; vaccination;
D O I
10.1093/aje/kwi206
中图分类号
R1 [预防医学、卫生学];
学科分类号
1004 ; 120402 ;
摘要
Policy-makers now face important questions regarding the tradeoffs among different strategies for managing Poliomyelitis risks after they succeed with polio eradication. To estimate the potential consequences of reintroductions of polioviruses and the resulting outbreaks, the authors developed a dynamic disease transmission model that can simulate many aspects of outbreaks for different posteradication conditions. In this paper, the authors identify the issues related to prospective modeling of future outbreaks using such a model, including the reality that accurate prediction of conditions and associated model inputs prior to future outbreaks remains challenging. The authors explored the model's behavior in the context of three recent outbreaks resulting from importation of poliovirus into previously polio-free countries and found that the model reproduced reported data on the incidence of cases. The authors expect that this model can provide important insights into the dynamics of future potential poliomyelitis outbreaks and in this way serve as a useful. tool for risk assessment.
引用
收藏
页码:358 / 372
页数:15
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