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A longitudinal cohort study of malaria exposure and changing serostatus in a malaria endemic area of rural Tanzania.

Ryan A SimmonsLeonard MboeraMarie Lynn MirandaAlison MorrisGillian StresmanElizabeth L TurnerRandall KramerChris DrakeleyWendy P O'Meara
Published in: Malaria journal (2017)
While the population-level results concur with previously published sero-epidemiological surveys, the individual-level results highlight the more complex relationship between detected infections and antibody dynamics than can be analysed using cross-sectional data. The longitudinal analysis of serological data may provide a powerful tool for teasing apart the complex relationship between infection events and the corresponding immune response, thereby improving the ability to rapidly assess the success or failure of malaria control programmes.
Keyphrases
  • cross sectional
  • plasmodium falciparum
  • immune response
  • electronic health record
  • big data
  • south africa
  • randomized controlled trial
  • machine learning
  • inflammatory response
  • artificial intelligence