Defining hotspots of malaria transmission

确定疟疾传播热点

• 批准号: G1002624/1
• 负责人: Philip Bejon
• 金额: $ 152万
• 依托单位: University of Oxford
• 依托单位国家: 英国
• 项目类别: Fellowship
• 财政年份: 2012
• 资助国家: 英国
• 起止时间: 2012 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=G1002624%2F1
• 关键词: Defining; hotspots; malaria; transmission

Malaria transmission is patchy at a local level, with hotspots of intense transmission. This hinders control measures, but also means that targeting additional interventions on hotspots will be highly effective. At present, we do not know how best to detect these hotspots, or how to apply the interventions available. For example, we need to know how much transmission in the surrounding area results from the hotspot, and how focal the point source is.I will analyse 19 years of historical data on malaria from coastal Kenya, supplemented by data from the Gambia in West Africa, to determine the spatial patterns of hotspots and how they might be detected. I will extend my findings by collaborations with investigators collecting spatial data on malaria cases in Gambia, Indonesia and elsewhere in Africa. In collaboration with Dominic Kwiatkowski in the Wellcome Trust Sanger Institute, I will conduct detailed genotyping studies to assign a bar-code to malaria parasites. This will allow me to distinguish the recent origin of malaria parasites isolated in the field, in order to inform the design of targeted interventions against hotspots.

疟疾传播在地方层面上并不分散，存在着强烈传播的热点地区。这阻碍了控制措施，但也意味着针对热点地区采取额外干预措施将非常有效。目前，我们不知道如何最好地检测这些热点，或如何应用现有的干预措施。例如，我们需要知道周边地区有多少传播是由热点造成的，以及点源的集中程度如何。我将分析肯尼亚沿海19年的疟疾历史数据，并辅以西非冈比亚的数据，以确定热点的空间格局以及如何检测它们。我将通过与调查人员合作，收集冈比亚、印度尼西亚和非洲其他地区疟疾病例的空间数据来扩展我的发现。我将与威康信托桑格研究所的 Dominic Kwiatkowski 合作，进行详细的基因分型研究，为疟疾寄生虫分配条形码。这将使我能够区分最近在实地分离出的疟疾寄生虫的起源，以便为针对热点地区的有针对性的干预措施的设计提供信息。