Spatial Targeting and Adaptive Vector Control for Residual Transmission and Malaria Elimination in Urban African Settings

项目概要： 赤道几内亚比奥科岛的疟疾控制项目是 高度密集和非常成功的疟疾控制项目在撒哈拉以南非洲。密集 2004年，在比奥科岛疟疾控制计划（BIMEP）下开始疟疾控制 管理商品分配、监督、监测和评估，以消除疟疾 从比奥科岛在最初的成功之后，该计划记录了较慢的进展， 由于病媒在当地的残余传播和经常前往大陆，疟疾持续存在 赤道几内亚导致疟疾输入。有必要制定一个 该方法将使BIMEP能够通过空间定位改善疟疾控制， 迅速建立证据库，以减少残余传播并指导消除工作 跨传播环境的努力。一种实用的解决方案，称为自适应矢量控制， 结合了综合病媒控制和适应性管理的要素。的总目标 该建议是将自适应矢量控制发展为一种严格的定量方法， 帮助项目了解残余传播，建立证据库，并确定战略 以抑制残余传播并消灭疟疾。自适应矢量的具体目标 控制的目的是量化比奥科岛马拉博城市环境中的残留传播， 赤道几内亚首都，比奥科岛90%的居民居住在那里， 通过一个反复的、结构化的政策进程来指导病媒控制的证据。我们将使用 从监督、监测和评估中获得的现有证据，以开发、验证和分析 蚊子水生生境的动态模型、蚊子种群动态和疟疾 在城市中传播。我们将使用这些模型来设计自适应采样和自适应采样。 研究，以减少方案决策的不确定性，并通过基于模拟的 分析，我们将帮助该计划改善室内滞留喷洒的空间目标， 幼虫源管理最后，我们将使用这些方法建立证据库， 支持通过新的基于媒介的干预措施加强媒介控制，以帮助消除BIMEP 疟疾降低马拉博和比奥科岛疟疾发病率的挑战相似 在撒哈拉以南非洲其他地区面临的挑战，适应性病媒控制是其中之一 这是非洲解决城市病媒控制问题的一种方式。

Project Summary: The malaria control program on Bioko Island, Equatorial Guinea was among the vanguard of highly intensive and highly successful malaria control programs in sub-Saharan Africa. Intensive malaria control began in 2004 under the Bioko Island Malaria Control Program (BIMEP) manages commodity distribution, surveillance, monitoring, and evaluation to eliminate malaria from Bioko Island. After initial success, the program has documented slower progress, and malaria persists through residual local transmission by vectors and frequent travel to mainland Equatorial Guinea resulting in malaria importation. There is a significant need to develop a methodology that would allow BIMEP to improve malaria control through spatial targeting and rapid development of an evidence base to reduce residual transmission and guide elimination efforts across transmission contexts. A practical solution, called adaptive vector control, that combines elements of integrated vector control and adaptive management. The overall goal of this proposal is to develop adaptive vector control as a rigorous and quantitative methodology to help programs understand residual transmission, build an evidence base, and identify strategies to suppress residual transmission and eliminate malaria. The specific goals of adaptive vector control are to quantify residual transmission in the urban setting of Malabo, Bioko Island the capital of Equatorial Guinea, where 90% of the residents of Bioko Island live, and use that evidence to guide vector control through an iterative, structured policy process. We will use existing evidence from surveillance, monitoring and evaluation to develop, validate, and analyze dynamic models of mosquito aquatic habitats, mosquito population dynamics, and malaria transmission in the city. We will use the models to design adaptive sampling and adaptive studies to reduce uncertainty about programmatic decisions, and through simulation-based analytics, we will help the program to improve spatial targeting of indoor residual spraying and larval source management. Finally, we will use the methods to build an evidence base to support enhanced vector control with novel vector-based interventions to help BIMEP eliminate malaria. The challenges of reducing malaria incidence in Malabo and on Bioko Island are similar to the challenges faced elsewhere in sub-Saharan Africa, and adaptive vector control is one way of addressing the problems of urban vector control in the African context.