Optimizing spatial sampling strategies for the molecular surveillance of drug resistant malaria

优化耐药疟疾分子监测的空间采样策略

基本信息

  • 批准号:
    10322453
  • 负责人:
  • 金额:
    $ 1.09万
  • 依托单位:
  • 依托单位国家:
    美国
  • 项目类别:
  • 财政年份:
    2020
  • 资助国家:
    美国
  • 起止时间:
    2020-01-16 至 2022-04-30
  • 项目状态:
    已结题

项目摘要

Project Summary/Abstract Antimalarial drugs are a critical tool in both the treatment and prevention malaria worldwide, yet their success has been hampered by the continual emergence and spread of antimalarial resistance (AMR). In the current climate of multidrug resistance, including resistance to the global front-line drug artemisinin, there is a need to scale up timely and widespread surveillance of AMR. The development of artemisinin resistance in sub- Saharan Africa would have a devastating impact on malaria-related morbidity and mortality. Molecular surveillance, which involves the screening of blood samples to determine the prevalence of molecular markers associated with drug resistance, can be a valuable tool for detecting emergent resistance genotypes before they become widespread. This proposal will first characterize the state of molecular monitoring efforts across sub-Saharan Africa. With the hypothesis that studies remain temporally and geographically clustered, we will use model-based geostatistics to interpolate the prevalence of AMR markers and suggest optimal strategies for future sampling sites. Next, in Burkina Faso, we will assess the utility of an alternative surveillance tool: the use of bloodmeals collected by arthropods, a technique known as xenosurveillance, to monitor molecular markers in humans that have been recently fed upon. We believe xenosurveillance may act as a complementary, rapidly deployable, and acceptable tool for the molecular surveillance of AMR. Finally, because molecular surveillance relies primarily on human-based interventional or cross-sectional trials, the role of the mosquito in transmitting drug resistant parasites remains unexplored. We will leverage our xenosurveillance samples to investigate the impact of vector behavior on the differential transmission of AMR parasites. This project will investigate the prevalence and dynamics of antimalarial resistance at multiple spatial scales. The goal of the proposed research is to help guide policymakers in their efforts to control the spread of AMR in sub-Saharan Africa, where drug pressure stems from both treatment and prevention regimens, and this pharmacological landscape changes regularly alongside the vector control landscape. After the completion of this two-year research and training fellowship, the applicant will have an advanced skillset in geostatistical modeling, molecular epidemiology, scientific communication and extensive field experience. Ultimately, the candidate seeks expertise in spatial analysis and applied epidemiology in order to advance surveillance efforts and improve our understanding of the geographic factors that influence vector-borne disease transmission. A multidisciplinary mentoring team will prepare the applicant for research independence in a career as a global health researcher and vector-borne disease epidemiologist at the nexus of environmental and human health.
项目总结/文摘

项目成果

期刊论文数量(4)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)
Molecular surveillance of antimalarial partner drug resistance in sub-Saharan Africa: a spatial-temporal evidence mapping study.
  • DOI:
    10.1016/s2666-5247(20)30094-x
  • 发表时间:
    2020-09
  • 期刊:
  • 影响因子:
    0
  • 作者:
    Ehrlich HY;Jones J;Parikh S
  • 通讯作者:
    Parikh S
Tracking antimalarial drug resistance using mosquito blood meals: a cross-sectional study.
  • DOI:
    10.1016/s2666-5247(23)00063-0
  • 发表时间:
    2023-06
  • 期刊:
  • 影响因子:
    38.2
  • 作者:
    Ehrlich, Hanna Y.;Some, Fabrice;Bazie, Thomas;Ebou, Catherine Neya;Dembele, Estelle Lotio;Balma, Richard;Goodwin, Justin;Wade, Martina;Bei, Amy K.;Ouedraogo, Jean-Bosco;Foy, Brian;Dabire, Roch K.;Parikh, Sunil
  • 通讯作者:
    Parikh, Sunil
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Hanna Ehrlich其他文献

Hanna Ehrlich的其他文献

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{{ truncateString('Hanna Ehrlich', 18)}}的其他基金

Optimizing spatial sampling strategies for the molecular surveillance of drug resistant malaria
优化耐药疟疾分子监测的空间采样策略
  • 批准号:
    9911241
  • 财政年份:
    2020
  • 资助金额:
    $ 1.09万
  • 项目类别:
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