1. Epidemiology and Global Health
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Quantifying the contribution of Plasmodium falciparum malaria to febrile illness amongst African children

  1. Ursula Dalrymple  Is a corresponding author
  2. Ewan Cameron
  3. Samir Bhatt
  4. Daniel J Weiss
  5. Sunetra Gupta
  6. Peter W Gething  Is a corresponding author
  1. University of Oxford, United Kingdom
Research Article
  • Cited 3
  • Views 956
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Cite as: eLife 2017;6:e29198 doi: 10.7554/eLife.29198

Abstract

Suspected malaria cases in Africa increasingly receive a rapid diagnostic test (RDT) before antimalarials are prescribed. While this ensures efficient use of resources to clear parasites, the underlying cause of the individual's fever remains unknown due to potential coinfection with a non-malarial febrile illness. Widespread use of RDTs does not necessarily prevent over-estimation of clinical malaria cases or sub-optimal case management of febrile patients. We present a new approach that allows inference of the spatiotemporal prevalence of both Plasmodium falciparum malaria-attributable and non-malarial fever in sub-Saharan African children from 2006-2014. We estimate that 35.7% of all self-reported fevers were accompanied by a malaria infection in 2014, but that only 28.0% of those (10.0% of all fevers) were causally attributable to malaria. Most fevers among malaria-positive children are therefore caused by non-malaria illnesses. This refined understanding can help improve interpretation of the burden of febrile illness and shape policy on fever case management.

Article and author information

Author details

  1. Ursula Dalrymple

    Department of Zoology, University of Oxford, Oxford, United Kingdom
    For correspondence
    ursula.dalrymple@zoo.ox.ac.uk
    Competing interests
    The authors declare that no competing interests exist.
    ORCID icon 0000-0001-6206-3777
  2. Ewan Cameron

    Big Data Institute, University of Oxford, Oxford, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  3. Samir Bhatt

    Big Data Institute, University of Oxford, Oxford, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  4. Daniel J Weiss

    Big Data Institute, University of Oxford, Oxford, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  5. Sunetra Gupta

    Department of Zoology, University of Oxford, Oxford, United Kingdom
    Competing interests
    The authors declare that no competing interests exist.
  6. Peter W Gething

    Big Data Institute, University of Oxford, Oxford, United Kingdom
    For correspondence
    peter.gething@bdi.ox.ac.uk
    Competing interests
    The authors declare that no competing interests exist.

Funding

Medical Research Council (Doctoral Training Grant)

  • Ursula Dalrymple

Bill and Melinda Gates Foundation (H5R00640 H5R00690)

  • Ewan Cameron
  • Samir Bhatt
  • Daniel J Weiss
  • Peter W Gething

The funders had no role in study design, data collection and interpretation, or the decision to submit the work for publication.

Reviewing Editor

  1. Mark Jit, London School of Hygiene & Tropical Medicine, and Public Health England, United Kingdom

Publication history

  1. Received: June 1, 2017
  2. Accepted: October 12, 2017
  3. Accepted Manuscript published: October 16, 2017 (version 1)
  4. Version of Record published: November 1, 2017 (version 2)
  5. Version of Record updated: May 16, 2018 (version 3)

Copyright

© 2017, Dalrymple et al.

This article is distributed under the terms of the Creative Commons Attribution License permitting unrestricted use and redistribution provided that the original author and source are credited.

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