AI Article Synopsis

  • The study investigates how human mobility influences malaria transmission in remote areas like the Amazon, aiming for effective control and elimination strategies.
  • It employs a network survey using respondent-driven sampling to gather data from key informants in 45 communities across Brazil, Ecuador, and Peru, focusing on community connectivity and mobility patterns.
  • The research has received ethical approval from various universities and plans to share results with the involved communities at the study's conclusion.

Article Abstract

Introduction: Understanding human mobility's role in malaria transmission is critical to successful control and elimination. However, common approaches to measuring mobility are ill-equipped for remote regions such as the Amazon. This study develops a network survey to quantify the effect of community connectivity and mobility on malaria transmission.

Methods: We measure community connectivity across the study area using a respondent driven sampling design among key informants who are at least 18 years of age. 45 initial communities will be selected: 10 in Brazil, 10 in Ecuador and 25 in Peru. Participants will be recruited in each initial node and administered a survey to obtain data on each community's mobility patterns. Survey responses will be ranked and the 2-3 most connected communities will then be selected and surveyed. This process will be repeated for a third round of data collection. Community network matrices will be linked with each country's malaria surveillance system to test the effects of mobility on disease risk.

Ethics And Dissemination: This study protocol has been approved by the institutional review boards of Duke University (USA), Universidad San Francisco de Quito (Ecuador), Universidad Peruana Cayetano Heredia (Peru) and Universidade Federal Minas Gerais (Brazil). Results will be disseminated in communities by the end of the study.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11029361PMC
http://dx.doi.org/10.1136/bmjopen-2023-078911DOI Listing

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