Reliability of school surveys in estimating geographic variation in malaria transmission in the western Kenyan highlands.

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 comm...

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Main Authors: 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
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2013-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3797060?pdf=render
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spelling doaj-5e9ea3ab92dd4b51bbfe8ad84a183f132020-11-25T01:01:27ZengPublic Library of Science (PLoS)PLoS ONE1932-62032013-01-01810e7764110.1371/journal.pone.0077641Reliability of school surveys in estimating geographic variation in malaria transmission in the western Kenyan highlands.Jennifer C StevensonGillian H StresmanCaroline W GitongaJonathan GilligChrispin OwagaElizabeth MarubeWycliffe OdongoAlbert OkothPauline ChinaRobin OriangoSimon J BrookerTeun BousemaChris DrakeleyJonathan CoxBACKGROUND: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 (<7%, 95% CI: 0-19%) and high (>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.http://europepmc.org/articles/PMC3797060?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author 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
spellingShingle 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
Reliability of school surveys in estimating geographic variation in malaria transmission in the western Kenyan highlands.
PLoS ONE
author_facet 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
author_sort Jennifer C Stevenson
title Reliability of school surveys in estimating geographic variation in malaria transmission in the western Kenyan highlands.
title_short Reliability of school surveys in estimating geographic variation in malaria transmission in the western Kenyan highlands.
title_full Reliability of school surveys in estimating geographic variation in malaria transmission in the western Kenyan highlands.
title_fullStr Reliability of school surveys in estimating geographic variation in malaria transmission in the western Kenyan highlands.
title_full_unstemmed Reliability of school surveys in estimating geographic variation in malaria transmission in the western Kenyan highlands.
title_sort reliability of school surveys in estimating geographic variation in malaria transmission in the western kenyan highlands.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2013-01-01
description 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 (<7%, 95% CI: 0-19%) and high (>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.
url http://europepmc.org/articles/PMC3797060?pdf=render
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