Emerg Infect Dis. 2022 Apr;28(4):701-706. doi: 10.3201/eid2804.211547.
Arbovirus epidemiology lacks efficient and timely surveillance systems with accurate outbreak alert signals. We devised a citywide integrated surveillance system combining entomologic, epidemiologic, and entomo-virologic data gathered during 2017-2020 in Foz do Iguaçu, Brazil. We installed 3,476 adult mosquito traps across the city and inspected traps every 2 months. We compared 5 entomologic indices: traditional house and Breteau indices for larval surveys and trap positivity, adult density, and mosquitoes per inhabitant indices for adult trapping. We screened for dengue, Zika, and chikungunya viruses in live adult Aedes aegypti mosquitoes collected from traps. Indices based on adult mosquito sampling had higher outbreak predictive values than larval indices, and we were able to build choropleth maps of infestation levels <36 h after each round of trap inspection. Locating naturally infected vectors provides a timely support tool for local public health managers to prioritize areas for intervention response to prevent virus outbreaks.
虫媒病毒流行病学缺乏高效、及时的监测系统,无法提供准确的疫情预警信号。我们设计了一个全市范围的综合监测系统,结合了 2017-2020 年在巴西伊瓜苏市收集的昆虫学、流行病学和昆虫病毒学数据。我们在全市范围内安装了 3476 个成蚊诱捕器,每两个月检查一次诱捕器。我们比较了 5 种昆虫学指标:传统的房屋和布雷图指数用于幼虫调查和诱捕阳性率,以及成蚊密度和每居民成蚊指数用于成蚊诱捕。我们从诱捕器中收集的活埃及伊蚊成蚊中筛查登革热、寨卡和基孔肯雅病毒。基于成蚊采样的指标比幼虫指标具有更高的疫情预测值,并且我们能够在每次诱捕器检查后 36 小时内绘制出感染水平的专题地图。定位自然感染的病媒为当地公共卫生管理人员提供了一个及时的支持工具,以便优先考虑干预措施的区域,以预防病毒爆发。