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

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 and Jonathan Cox

PLOS ONE, 2013, vol. 8, issue 10, 1-

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.

Date: 2013
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Persistent link: https://EconPapers.repec.org/RePEc:plo:pone00:0077641

DOI: 10.1371/journal.pone.0077641

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