Measuring Entomological Risk for Dengue

测量登革热的昆虫学风险

• 批准号: 7661641
• 负责人: THOMAS WALLACE SCOTT
• 金额: $ 44.18万
• 依托单位: UNIVERSITY OF CALIFORNIA AT DAVIS
• 依托单位国家: 美国
• 财政年份: 2006
• 资助国家: 美国
• 起止时间: 2006-08-15 至 2011-07-31
• 项目状态: 已结题
• 来源: https://reporter.nih.gov/project-details/7661641
• 关键词: Accounting; Aedes; Affect; Area; Bite; Blood; Cities; Cohort Studies; Communities; Culicidae; DNA Fingerprinting; Data; Dengue; Dengue Virus; Dimensions; Exposure to; Fever; Frequencies; Goals; Herd Immunity; Home environment; Household; Human; Incidence; Individual; Infection; Interview; Investigation; Knowledge; Location; Longitudinal Studies; Marketing; Measurement; Measures; Movement; Participant; Pattern; Persons; Peru; Population Density; Predictive Value; Prevention program; Probability; Relative (related person); Relative Risks; Research; Research Personnel; Risk; Risk Estimate; Schools; Series; Serotyping; Site; Social Network; Surveillance Program; Techniques; Temperature; Testing; Time; Vaccines; Virus Diseases; Visit; Workplace; base; experience; field study; high risk; indexing; network models; practical application; programs; prospective; residence; transmission process; vector; vector control; vector mosquito

DESCRIPTION (provided by applicant): The impact of human movement patterns on exposure of people to bites from mosquito vectors is a major knowledge gap in the understanding of dengue virus (DV) transmission dynamics. Because Ae. aegypti is a daytime biting mosquito we anticipate that the daytime activity patterns of human hosts will profoundly affect their risk of exposure to infective mosquito bites. Testing these ideas will require identification of operationally feasible measures of entomological risk estimated at an appropriate geographic scale that accounts for movements of susceptible humans in and out of high risk areas. Relative risk of DV infection has never been rigorously measured at the multiple locations that susceptible individual visit during their daily activities; like the homes of neighbors or relatives, schools, markets, workplaces or other communities. In the Amazonian city of Iquitos, Peru where we have over 6 years of Ae. aegypti and dengue research experience we propose to test the hypothesis that spatial dimensions of dengue virus transmission are defined by daily patterns of human movement. We predict that DV incidence rates are positively correlated with the number of bites received from Aedes aegypti at high risk locations, serotype specific herd immunity, and ambient temperature. We intend to test our hypothesis in the context of 2 specific aims. First, a combination of retrospective and prospective cohort studies will be used to determine whether measurement of entomological risk across a person's activity space provides a better prediction of DV infection risk than limiting assessment to their household. Second, we will use DNA profiling of blood in engorged mosquitoes to determine the risk of a person being bitten by Ae. aegypti at different sites across their activity space. Data collected in these field studies will be analyzed using a series of spatial statistical techniques and social network modeling to define the spatial dimensions of DV transmission and the predictive value of entomological surveillance. Our goal is to clarify the value of entomological indices in dengue surveillance programs by defining the spatial dimensions of DV transmission. Our research will be the most definitive test to-date of the empirical relationship between entomological risk and DV transmission. Our results will be relevant for dengue prevention programs based on vector control and/or vaccine strategies and will have immediate, practical applications for dengue surveillance and control worldwide.

描述（由申请人提供）：人类运动模式对人们暴露于蚊子向量叮咬的影响是理解登革热病毒（DV）传播动态的主要知识差距。因为Ae。埃及是白天咬人蚊子，我们预计人类宿主的白天活动模式将严重影响其暴露于感染蚊子叮咬的风险。对这些想法进行测试将需要确定在适当的地理量表上估计的昆虫学风险的可行措施，该量子量表估计，该量表解释了易感人类进出高风险区域的运动。在日常活动中易受个人访问的多个位置，从未对DV感染的相对风险进行严格测量；像邻居或亲戚，学校，市场，工作场所或其他社区的房屋一样。在秘鲁的亚马逊城市IQUITOS，我们拥有超过6年的AE。埃及和登革热研究经验，我们建议检验以下假设：登革热病毒传播的空间维度是由人类运动的每日模式定义的。我们预测，DV发病率与从高风险位置，血清型特定的牛群免疫和环境温度收到的叮咬数正呈正相关。我们打算在2个特定目的的背景下检验我们的假设。首先，将使用回顾性研究和前瞻性队列研究的结合来确定在一个人的活动空间中对昆虫学风险的测量是否比限制对家庭的评估更好地预测了DV感染风险。其次，我们将使用蚊子中血液的DNA分析来确定被AE咬伤的人的风险。埃及在其活动空间的不同地点。这些现场研究收集的数据将使用一系列空间统计技术和社交网络建模进行分析，以定义DV传输的空间维度和昆虫学监视的预测价值。我们的目标是通过定义DV传输的空间维度来阐明昆虫监测计划中昆虫学指数的价值。我们的研究将是昆虫学风险与DV传播之间经验关系的最确定性测试。我们的结果将与基于矢量控制和/或疫苗策略的登革热计划有关，并将在全球范围内立即实施实用的应用。