Mapping malaria by combining parasite genomic and epidemiologic data 11 Medical and Health Sciences 1108 Medical Microbiology 06 Biological Sciences 0604 Genetics 11 Medical and Health Sciences 1117 Public Health and Health Services Sally Blower; Gerardo Chowell

Amy Wesolowski, Aimee R. Taylor, Hsiao Han Chang, Robert Verity, Sofonias Tessema, Jeffrey A. Bailey, T. Alex Perkins, Daniel E. Neafsey, Bryan Greenhouse, Caroline O. Buckee

Research output: Contribution to journalArticle

Abstract

Background: Recent global progress in scaling up malaria control interventions has revived the goal of complete elimination in many countries. Decreasing transmission intensity generally leads to increasingly patchy spatial patterns of malaria transmission in elimination settings, with control programs having to accurately identify remaining foci in order to efficiently target interventions. Findings: The role of connectivity between different pockets of local transmission is of increasing importance as programs near elimination since humans are able to transfer parasites beyond the limits of mosquito dispersal, thus re-introducing parasites to previously malaria-free regions. Here, we discuss recent advances in the quantification of spatial epidemiology of malaria, particularly Plasmodium falciparum, in the context of transmission reduction interventions. Further, we highlight the challenges and promising directions for the development of integrated mapping, modeling, and genomic approaches that leverage disparate datasets to measure both connectivity and transmission. Conclusion: A more comprehensive understanding of the spatial transmission of malaria can be gained using a combination of parasite genetics and epidemiological modeling and mapping. However, additional molecular and quantitative methods are necessary to answer these public health-related questions.

Original languageEnglish (US)
Article number190
JournalBMC Medicine
Volume16
Issue number1
DOIs
Publication statusPublished - Oct 18 2018

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Keywords

  • Malaria
  • Parasite genomics
  • Plasmodium falciparum
  • Spatial modeling

ASJC Scopus subject areas

  • Medicine(all)

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