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Location, location, location: environmental factors better predict malaria-positive individuals during reactive case detection than index case demographics in Southern Province, Zambia

BACKGROUND: Decreasing malaria transmission leads to increasing heterogeneity with increased risk in both hot spots (locations) and hot pops (certain demographics). In Southern Province, Zambia, reactive case detection has formed a part of malaria surveillance and elimination efforts since 2011. Var...

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Autores principales: Larsen, David A., Ngwenya-Kangombe, Tokozile, Cheelo, Sanford, Hamainza, Busiku, Miller, John, Winters, Anna, Bridges, Daniel J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5219724/
https://www.ncbi.nlm.nih.gov/pubmed/28061853
http://dx.doi.org/10.1186/s12936-016-1649-z
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author Larsen, David A.
Ngwenya-Kangombe, Tokozile
Cheelo, Sanford
Hamainza, Busiku
Miller, John
Winters, Anna
Bridges, Daniel J.
author_facet Larsen, David A.
Ngwenya-Kangombe, Tokozile
Cheelo, Sanford
Hamainza, Busiku
Miller, John
Winters, Anna
Bridges, Daniel J.
author_sort Larsen, David A.
collection PubMed
description BACKGROUND: Decreasing malaria transmission leads to increasing heterogeneity with increased risk in both hot spots (locations) and hot pops (certain demographics). In Southern Province, Zambia, reactive case detection has formed a part of malaria surveillance and elimination efforts since 2011. Various factors may be associated with finding malaria infections during case investigations, including the demographics of the incident case and environmental characteristics of the location of the incident case. METHODS: Community health worker registries were used to determine what factors were associated with finding a malaria infection during reactive case detection. RESULTS: Location was a more powerful predictor of finding malaria infections during case investigations than the demographics of the incident case. After accounting for environmental characteristics, no demographics around the incident case were associated with finding malaria infections during case investigations. Various time-invariant measures of the environment, such as median enhanced vegetation index, the topographic position index, the convergence index, and the topographical wetness index, were all associated as expected with increased probability of finding a malaria infection during case investigations. CONCLUSIONS: These results suggest that targeting the locations highly at risk of malaria transmission is of importance in elimination settings.
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spelling pubmed-52197242017-01-10 Location, location, location: environmental factors better predict malaria-positive individuals during reactive case detection than index case demographics in Southern Province, Zambia Larsen, David A. Ngwenya-Kangombe, Tokozile Cheelo, Sanford Hamainza, Busiku Miller, John Winters, Anna Bridges, Daniel J. Malar J Research BACKGROUND: Decreasing malaria transmission leads to increasing heterogeneity with increased risk in both hot spots (locations) and hot pops (certain demographics). In Southern Province, Zambia, reactive case detection has formed a part of malaria surveillance and elimination efforts since 2011. Various factors may be associated with finding malaria infections during case investigations, including the demographics of the incident case and environmental characteristics of the location of the incident case. METHODS: Community health worker registries were used to determine what factors were associated with finding a malaria infection during reactive case detection. RESULTS: Location was a more powerful predictor of finding malaria infections during case investigations than the demographics of the incident case. After accounting for environmental characteristics, no demographics around the incident case were associated with finding malaria infections during case investigations. Various time-invariant measures of the environment, such as median enhanced vegetation index, the topographic position index, the convergence index, and the topographical wetness index, were all associated as expected with increased probability of finding a malaria infection during case investigations. CONCLUSIONS: These results suggest that targeting the locations highly at risk of malaria transmission is of importance in elimination settings. BioMed Central 2017-01-06 /pmc/articles/PMC5219724/ /pubmed/28061853 http://dx.doi.org/10.1186/s12936-016-1649-z Text en © The Author(s) 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Research
Larsen, David A.
Ngwenya-Kangombe, Tokozile
Cheelo, Sanford
Hamainza, Busiku
Miller, John
Winters, Anna
Bridges, Daniel J.
Location, location, location: environmental factors better predict malaria-positive individuals during reactive case detection than index case demographics in Southern Province, Zambia
title Location, location, location: environmental factors better predict malaria-positive individuals during reactive case detection than index case demographics in Southern Province, Zambia
title_full Location, location, location: environmental factors better predict malaria-positive individuals during reactive case detection than index case demographics in Southern Province, Zambia
title_fullStr Location, location, location: environmental factors better predict malaria-positive individuals during reactive case detection than index case demographics in Southern Province, Zambia
title_full_unstemmed Location, location, location: environmental factors better predict malaria-positive individuals during reactive case detection than index case demographics in Southern Province, Zambia
title_short Location, location, location: environmental factors better predict malaria-positive individuals during reactive case detection than index case demographics in Southern Province, Zambia
title_sort location, location, location: environmental factors better predict malaria-positive individuals during reactive case detection than index case demographics in southern province, zambia
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5219724/
https://www.ncbi.nlm.nih.gov/pubmed/28061853
http://dx.doi.org/10.1186/s12936-016-1649-z
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