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Malaria around large dams in Africa: effect of environmental and transmission endemicity factors

BACKGROUND: The impact of large dams on malaria has received widespread attention. However, understanding how dam topography and transmission endemicity influence malaria incidences is limited. METHODS: Data from the European Commission’s Joint Research Center and Shuttle Radar Topography Mission we...

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Autores principales: Kibret, Solomon, Lautze, Jonathan, McCartney, Matthew, Nhamo, Luxon, Yan, Guiyun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6720395/
https://www.ncbi.nlm.nih.gov/pubmed/31481092
http://dx.doi.org/10.1186/s12936-019-2933-5
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author Kibret, Solomon
Lautze, Jonathan
McCartney, Matthew
Nhamo, Luxon
Yan, Guiyun
author_facet Kibret, Solomon
Lautze, Jonathan
McCartney, Matthew
Nhamo, Luxon
Yan, Guiyun
author_sort Kibret, Solomon
collection PubMed
description BACKGROUND: The impact of large dams on malaria has received widespread attention. However, understanding how dam topography and transmission endemicity influence malaria incidences is limited. METHODS: Data from the European Commission’s Joint Research Center and Shuttle Radar Topography Mission were used to determine reservoir perimeters and shoreline slope of African dams. Georeferenced data from the Malaria Atlas Project (MAP) were used to estimate malaria incidence rates in communities near reservoir shorelines. Population data from the WorldPop database were used to estimate the population at risk of malaria around dams in stable and unstable areas. RESULTS: The data showed that people living near (< 5 km) large dams in sub-Saharan Africa grew from 14.4 million in 2000 to 18.7 million in 2015. Overall, across sub-Saharan Africa between 0.7 and 1.6 million malaria cases per year are attributable to large dams. Whilst annual malaria incidence declined markedly in both stable and unstable areas between 2000 and 2015, the malaria impact of dams appeared to increase in unstable areas, but decreased in stable areas. Shoreline slope was found to be the most important malaria risk factor in dam-affected geographies, explaining 41–82% (P < 0.001) of the variation in malaria incidence around reservoirs. CONCLUSION: Gentler, more gradual shoreline slopes were associated with much greater malaria risk. Dam-related environmental variables such as dam topography and shoreline slopes are an important factor that should be considered in efforts to predict and control malaria around dams.
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spelling pubmed-67203952019-09-06 Malaria around large dams in Africa: effect of environmental and transmission endemicity factors Kibret, Solomon Lautze, Jonathan McCartney, Matthew Nhamo, Luxon Yan, Guiyun Malar J Research BACKGROUND: The impact of large dams on malaria has received widespread attention. However, understanding how dam topography and transmission endemicity influence malaria incidences is limited. METHODS: Data from the European Commission’s Joint Research Center and Shuttle Radar Topography Mission were used to determine reservoir perimeters and shoreline slope of African dams. Georeferenced data from the Malaria Atlas Project (MAP) were used to estimate malaria incidence rates in communities near reservoir shorelines. Population data from the WorldPop database were used to estimate the population at risk of malaria around dams in stable and unstable areas. RESULTS: The data showed that people living near (< 5 km) large dams in sub-Saharan Africa grew from 14.4 million in 2000 to 18.7 million in 2015. Overall, across sub-Saharan Africa between 0.7 and 1.6 million malaria cases per year are attributable to large dams. Whilst annual malaria incidence declined markedly in both stable and unstable areas between 2000 and 2015, the malaria impact of dams appeared to increase in unstable areas, but decreased in stable areas. Shoreline slope was found to be the most important malaria risk factor in dam-affected geographies, explaining 41–82% (P < 0.001) of the variation in malaria incidence around reservoirs. CONCLUSION: Gentler, more gradual shoreline slopes were associated with much greater malaria risk. Dam-related environmental variables such as dam topography and shoreline slopes are an important factor that should be considered in efforts to predict and control malaria around dams. BioMed Central 2019-09-03 /pmc/articles/PMC6720395/ /pubmed/31481092 http://dx.doi.org/10.1186/s12936-019-2933-5 Text en © The Author(s) 2019 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
Kibret, Solomon
Lautze, Jonathan
McCartney, Matthew
Nhamo, Luxon
Yan, Guiyun
Malaria around large dams in Africa: effect of environmental and transmission endemicity factors
title Malaria around large dams in Africa: effect of environmental and transmission endemicity factors
title_full Malaria around large dams in Africa: effect of environmental and transmission endemicity factors
title_fullStr Malaria around large dams in Africa: effect of environmental and transmission endemicity factors
title_full_unstemmed Malaria around large dams in Africa: effect of environmental and transmission endemicity factors
title_short Malaria around large dams in Africa: effect of environmental and transmission endemicity factors
title_sort malaria around large dams in africa: effect of environmental and transmission endemicity factors
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6720395/
https://www.ncbi.nlm.nih.gov/pubmed/31481092
http://dx.doi.org/10.1186/s12936-019-2933-5
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