{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,9]],"date-time":"2026-09-09T12:27:31Z","timestamp":1788956851740,"version":"build-2803163510"},"reference-count":103,"publisher":"Public Library of Science (PLoS)","issue":"12","license":[{"start":{"date-parts":[[2021,12,7]],"date-time":"2021-12-07T00:00:00Z","timestamp":1638835200000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/100004440","name":"Wellcome Trust","doi-asserted-by":"publisher","award":["211208"],"award-info":[{"award-number":["211208"]}],"id":[{"id":"10.13039\/100004440","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100004440","name":"Wellcome Trust","doi-asserted-by":"publisher","award":["107769"],"award-info":[{"award-number":["107769"]}],"id":[{"id":"10.13039\/100004440","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100010897","name":"Newton Fund","doi-asserted-by":"publisher","award":["201418"],"award-info":[{"award-number":["201418"]}],"id":[{"id":"10.13039\/100010897","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100004440","name":"Wellcome Trust","doi-asserted-by":"publisher","award":["212176"],"award-info":[{"award-number":["212176"]}],"id":[{"id":"10.13039\/100004440","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/100004440","name":"Wellcome Trust","doi-asserted-by":"publisher","award":["203077"],"award-info":[{"award-number":["203077"]}],"id":[{"id":"10.13039\/100004440","id-type":"DOI","asserted-by":"publisher"}]},{"name":"DFID","award":["203155"],"award-info":[{"award-number":["203155"]}]}],"content-domain":{"domain":["www.plosglobalpublichealth.org"],"crossmark-restriction":false},"short-container-title":["PLOS Glob Public Health"],"abstract":"<jats:p>The High Burden High Impact (HBHI) strategy for malaria encourages countries to use multiple sources of available data to define the sub-national vulnerabilities to malaria risk, including parasite prevalence. Here, a modelled estimate of <jats:italic>Plasmodium falciparum<\/jats:italic> from an updated assembly of community parasite survey data in Kenya, mainland Tanzania, and Uganda is presented and used to provide a more contemporary understanding of the sub-national malaria prevalence stratification across the sub-region for 2019. Malaria prevalence data from surveys undertaken between January 2010 and June 2020 were assembled form each of the three countries. Bayesian spatiotemporal model-based approaches were used to interpolate space-time data at fine spatial resolution adjusting for population, environmental and ecological covariates across the three countries. A total of 18,940 time-space age-standardised and microscopy-converted surveys were assembled of which 14,170 (74.8%) were identified after 2017. The estimated national population-adjusted posterior mean parasite prevalence was 4.7% (95% Bayesian Credible Interval 2.6\u201336.9) in Kenya, 10.6% (3.4\u201339.2) in mainland Tanzania, and 9.5% (4.0\u201348.3) in Uganda. In 2019, more than 12.7 million people resided in communities where parasite prevalence was predicted \u2265 30%, including 6.4%, 12.1% and 6.3% of Kenya, mainland Tanzania and Uganda populations, respectively. Conversely, areas that supported very low parasite prevalence (&lt;1%) were inhabited by approximately 46.2 million people across the sub-region, or 52.2%, 26.7% and 10.4% of Kenya, mainland Tanzania and Uganda populations, respectively. In conclusion, parasite prevalence represents one of several data metrics for disease stratification at national and sub-national levels. To increase the use of this metric for decision making, there is a need to integrate other data layers on mortality related to malaria, malaria vector composition, insecticide resistance and bionomic, malaria care-seeking behaviour and current levels of unmet need of malaria interventions.<\/jats:p>","DOI":"10.1371\/journal.pgph.0000014","type":"journal-article","created":{"date-parts":[[2021,12,7]],"date-time":"2021-12-07T18:28:45Z","timestamp":1638901725000},"page":"e0000014","update-policy":"https:\/\/doi.org\/10.1371\/journal.pgph.corrections_policy","source":"Crossref","is-referenced-by-count":67,"title":["Plasmodium falciparum parasite prevalence in East Africa: Updating data for malaria stratification"],"prefix":"10.1371","volume":"1","author":[{"ORCID":"https:\/\/orcid.org\/0000-0001-5177-9227","authenticated-orcid":true,"given":"Victor 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M.","family":"Noor","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3725-6088","authenticated-orcid":true,"given":"Robert W.","family":"Snow","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"340","published-online":{"date-parts":[[2021,12,7]]},"reference":[{"key":"pgph.0000014.ref001","doi-asserted-by":"crossref","first-page":"9240015795","DOI":"10.30875\/60123dd4-en","volume-title":"World malaria report 2020: 20 years of global progress and challenges","author":"World Health Organization","year":"2020"},{"key":"pgph.0000014.ref002","volume-title":"High burden to high impact: a targeted malaria responseAvailable from","author":"World Health Organization, Roll Back Malaria","year":"2018"},{"key":"pgph.0000014.ref003","volume-title":"WHO technical brief for countries preparing malaria funding requests for the Global Fund 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Malaria risk mapping in Africa: The historical context to the Information for Malaria (INFORM) project. Nairobi, Kenya: Working paper in support of the INFORM Project funded by the Department for International Development and The Wellcome Trust, UK. 2015. 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