Gu Weidong, Unnasch Thomas R, Katholi Charles R, Lampman Richard, Novak Robert J
Division of Infectious Diseases, University of Alabama, Birmingham, AL 35294, USA.
Trans R Soc Trop Med Hyg. 2008 Aug;102(8):817-22. doi: 10.1016/j.trstmh.2008.03.019. Epub 2008 May 7.
Marked spatiotemporal variabilities in mosquito infection of arboviruses, exemplified by the transmission of West Nile virus (WNV) in America, require adaptive strategies for mosquito sampling, pool screening and data analyses. Currently there is a lack of reliable and consistent measures of risk exposure, which may compromise comparison of surveillance data. Based on quantitative reasoning, we critically examined fundamental issues regarding mosquito sampling design and estimation of transmission intensity. Two surveillance strategies were proposed, each with a distinct focus, i.e. targeted surveillance for detection of low rates of mosquito infection and extensive surveillance for evaluation of risk exposure with high levels of mosquito infection. We strongly recommend the use of indicators embodying both mosquito abundance and infection rates as measures of risk exposure. Aggregation of surveillance data over long periods of time and across broad areas obscures patterns of focal arboviral transmission. We believe that these quantitative issues, once addressed by mosquito surveillance programs, can improve the epidemiological intelligence of arbovirus transmission.
以美国西尼罗河病毒(WNV)传播为例,蚊虫对虫媒病毒的感染存在显著的时空变异性,这就需要针对蚊虫采样、样本池筛查和数据分析采取适应性策略。目前缺乏可靠且一致的风险暴露衡量标准,这可能会影响监测数据的比较。基于定量推理,我们严格审视了有关蚊虫采样设计和传播强度估计的基本问题。提出了两种监测策略,每种策略都有不同的侧重点,即针对性监测以检测低蚊虫感染率,以及广泛监测以评估高蚊虫感染水平下的风险暴露。我们强烈建议使用体现蚊虫数量和感染率的指标作为风险暴露的衡量标准。长时间跨广泛区域汇总监测数据会掩盖虫媒病毒的局部传播模式。我们认为,一旦蚊虫监测项目解决了这些定量问题,就能提高虫媒病毒传播的流行病学情报。