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Reliability of School Surveys in Estimating Geographic Variation in Malaria Transmission in the Western Kenyan Highlands

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Listed:
  • Jennifer C Stevenson
  • Gillian H Stresman
  • Caroline W Gitonga
  • Jonathan Gillig
  • Chrispin Owaga
  • Elizabeth Marube
  • Wycliffe Odongo
  • Albert Okoth
  • Pauline China
  • Robin Oriango
  • Simon J Brooker
  • Teun Bousema
  • Chris Drakeley
  • Jonathan Cox

Abstract

Background: School surveys provide an operational approach to assess malaria transmission through parasite prevalence. There is limited evidence on the comparability of prevalence estimates obtained from school and community surveys carried out at the same locality. Methods: Concurrent school and community cross-sectional surveys were conducted in 46 school/community clusters in the western Kenyan highlands and households of school children were geolocated. Malaria was assessed by rapid diagnostic test (RDT) and combined seroprevalence of antibodies to bloodstage Plasmodium falciparum antigens. Results: RDT prevalence in school and community populations was 25.7% (95% CI: 24.4-26.8) and 15.5% (95% CI: 14.4-16.7), respectively. Seroprevalence in the school and community populations was 51.9% (95% CI: 50.5-53.3) and 51.5% (95% CI: 49.5-52.9), respectively. RDT prevalence in schools could differentiate between low ( 39%, 95% CI: 25-49%) transmission areas in the community and, after a simple adjustment, were concordant with the community estimates. Conclusions: Estimates of malaria prevalence from school surveys were consistently higher than those from community surveys and were strongly correlated. School-based estimates can be used as a reliable indicator of malaria transmission intensity in the wider community and may provide a basis for identifying priority areas for malaria control.

Suggested Citation

  • Jennifer C Stevenson & Gillian H Stresman & Caroline W Gitonga & Jonathan Gillig & Chrispin Owaga & Elizabeth Marube & Wycliffe Odongo & Albert Okoth & Pauline China & Robin Oriango & Simon J Brooker , 2013. "Reliability of School Surveys in Estimating Geographic Variation in Malaria Transmission in the Western Kenyan Highlands," PLOS ONE, Public Library of Science, vol. 8(10), pages 1-1, October.
    • Handle: RePEc:plo:pone00:0077641
    DOI: 10.1371/journal.pone.0077641
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    References listed on IDEAS

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    1. Adrienne M. Lucas & Isaac M. Mbiti, 2012. "Does Free Primary Education Narrow Gender Differences in Schooling? Evidence from Kenya -super-†," Journal of African Economies, Centre for the Study of African Economies, vol. 21(5), pages -722, November.
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    1. Erin M Stuckey & Jennifer Stevenson & Katya Galactionova & Amrish Y Baidjoe & Teun Bousema & Wycliffe Odongo & Simon Kariuki & Chris Drakeley & Thomas A Smith & Jonathan Cox & Nakul Chitnis, 2014. "Modeling the Cost Effectiveness of Malaria Control Interventions in the Highlands of Western Kenya," PLOS ONE, Public Library of Science, vol. 9(10), pages 1-11, October.
    2. Peter J. Diggle & Emanuele Giorgi, 2016. "Model-Based Geostatistics for Prevalence Mapping in Low-Resource Settings," Journal of the American Statistical Association, Taylor & Francis Journals, vol. 111(515), pages 1096-1120, July.

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