Malaria infection and severe disease risks in Africa

Science. 2021 Aug 20;373(6557):926-931. doi: 10.1126/science.abj0089.

Abstract

The relationship between community prevalence of Plasmodium falciparum and the burden of severe, life-threatening disease remains poorly defined. To examine the three most common severe malaria phenotypes from catchment populations across East Africa, we assembled a dataset of 6506 hospital admissions for malaria in children aged 3 months to 9 years from 2006 to 2020. Admissions were paired with data from community parasite infection surveys. A Bayesian procedure was used to calibrate uncertainties in exposure (parasite prevalence) and outcomes (severe malaria phenotypes). Each 25% increase in prevalence conferred a doubling of severe malaria admission rates. Severe malaria remains a burden predominantly among young children (3 to 59 months) across a wide range of community prevalence typical of East Africa. This study offers a quantitative framework for linking malaria parasite prevalence and severe disease outcomes in children.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Africa, Eastern / epidemiology
  • Age Factors
  • Bayes Theorem
  • Child
  • Child, Preschool
  • Epidemiological Monitoring
  • Hospitalization
  • Humans
  • Incidence
  • Infant
  • Malaria, Cerebral / epidemiology
  • Malaria, Falciparum / epidemiology*
  • Malaria, Falciparum / prevention & control
  • Malaria, Falciparum / transmission
  • Models, Statistical
  • Plasmodium falciparum*
  • Prevalence
  • Risk Factors
  • Severity of Illness Index