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

项目总结： 赤道几内亚比奥科岛的疟疾控制项目是 撒哈拉以南非洲的高度密集和高度成功的疟疾控制项目。集约化 2004年根据比奥科岛疟疾控制计划(BIMEP)开始疟疾控制 管理商品分发、监测、监测和评估，以消除疟疾 来自比奥科岛。在最初的成功之后，该计划记录了较慢的进展，以及 疟疾通过媒介在当地的残留传播和频繁前往内地而持续存在 赤道几内亚导致疟疾输入。非常有必要开发一种 该方法将使BIMEP能够通过空间定向和 快速开发证据库，以减少残留传播和指导消除 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， 结合了集成矢量控制和自适应管理的元素。的总目标是 这项建议是发展自适应矢量控制作为一种严格和定量的方法来 帮助程序了解残留传播、建立证据基础并确定策略 以抑制残留传播和消除疟疾。自适应向量的具体目标 控制是量化马拉博、比奥科岛城市环境中的残余传播 赤道几内亚首都，比奥科岛90%的居民居住在那里，并使用 通过迭代的、结构化的政策过程指导病媒控制的证据。我们将使用 来自监视、监视和评估的现有证据，用于开发、验证和分析 蚊子水生栖息地、蚊子种群动态和疟疾的动态模型 市里的传播室。我们将使用这些模型来设计自适应采样和自适应 研究以减少规划决策的不确定性，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和 幼虫源管理。最后，我们将使用这些方法构建一个证据库，以 通过新的基于载体的干预措施支持增强的媒介控制，以帮助BIMEP消除 疟疾。马拉博和比奥科岛减少疟疾发病率的挑战相似 应对撒哈拉以南非洲其他地区面临的挑战，自适应病媒控制是其中之一 在非洲解决城市病媒控制问题的方法。

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.