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Environmental and meteorological factors linked to malaria transmission around large dams at three ecological settings in Ethiopia

BACKGROUND: A growing body of evidence suggests that dams intensify malaria transmission in sub-Saharan Africa. However, the environmental characteristics underpinning patterns in malaria transmission around dams are poorly understood. This study investigated local-scale environmental and meteorolog...

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Autores principales: Kibret, Solomon, Glenn Wilson, G., Ryder, Darren, Tekie, Habte, Petros, Beyene
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6390543/
https://www.ncbi.nlm.nih.gov/pubmed/30808343
http://dx.doi.org/10.1186/s12936-019-2689-y
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author Kibret, Solomon
Glenn Wilson, G.
Ryder, Darren
Tekie, Habte
Petros, Beyene
author_facet Kibret, Solomon
Glenn Wilson, G.
Ryder, Darren
Tekie, Habte
Petros, Beyene
author_sort Kibret, Solomon
collection PubMed
description BACKGROUND: A growing body of evidence suggests that dams intensify malaria transmission in sub-Saharan Africa. However, the environmental characteristics underpinning patterns in malaria transmission around dams are poorly understood. This study investigated local-scale environmental and meteorological variables linked to malaria transmission around three large dams in Ethiopia. METHODS: Monthly malaria incidence data (2010–2014) were collected from health centres around three dams located at lowland, midland and highland elevations in Ethiopia. Environmental (elevation, distance from the reservoir shoreline, Normalized Difference Vegetation Index (NDVI), monthly reservoir water level, monthly changes in water level) and meteorological (precipitation, and minimum and maximum air temperature) data were analysed to determine their relationship with monthly malaria transmission at each dam using correlation and stepwise multiple regression analysis. RESULTS: Village distance to reservoir shoreline (lagged by 1 and 2 months) and monthly change in water level (lagged by 1 month) were significantly correlated with malaria incidence at all three dams, while NDVI (lagged by 1 and 2 months) and monthly reservoir water level (lagged by 2 months) were found to have a significant influence at only the lowland and midland dams. Precipitation (lagged by 1 and 2 months) was also significantly associated with malaria incidence, but only at the lowland dam, while minimum and maximum air temperatures (lagged by 1 and 2 months) were important factors at only the highland dam. CONCLUSION: This study confirmed that reservoir-associated factors (distance from reservoir shoreline, monthly average reservoir water level, monthly water level change) were important predictors of increased malaria incidence in villages around Ethiopian dams in all elevation settings. Reservoir water level management should be considered as an additional malaria vector control tool to help manage malaria transmission around dams. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12936-019-2689-y) contains supplementary material, which is available to authorized users.
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spelling pubmed-63905432019-03-11 Environmental and meteorological factors linked to malaria transmission around large dams at three ecological settings in Ethiopia Kibret, Solomon Glenn Wilson, G. Ryder, Darren Tekie, Habte Petros, Beyene Malar J Research BACKGROUND: A growing body of evidence suggests that dams intensify malaria transmission in sub-Saharan Africa. However, the environmental characteristics underpinning patterns in malaria transmission around dams are poorly understood. This study investigated local-scale environmental and meteorological variables linked to malaria transmission around three large dams in Ethiopia. METHODS: Monthly malaria incidence data (2010–2014) were collected from health centres around three dams located at lowland, midland and highland elevations in Ethiopia. Environmental (elevation, distance from the reservoir shoreline, Normalized Difference Vegetation Index (NDVI), monthly reservoir water level, monthly changes in water level) and meteorological (precipitation, and minimum and maximum air temperature) data were analysed to determine their relationship with monthly malaria transmission at each dam using correlation and stepwise multiple regression analysis. RESULTS: Village distance to reservoir shoreline (lagged by 1 and 2 months) and monthly change in water level (lagged by 1 month) were significantly correlated with malaria incidence at all three dams, while NDVI (lagged by 1 and 2 months) and monthly reservoir water level (lagged by 2 months) were found to have a significant influence at only the lowland and midland dams. Precipitation (lagged by 1 and 2 months) was also significantly associated with malaria incidence, but only at the lowland dam, while minimum and maximum air temperatures (lagged by 1 and 2 months) were important factors at only the highland dam. CONCLUSION: This study confirmed that reservoir-associated factors (distance from reservoir shoreline, monthly average reservoir water level, monthly water level change) were important predictors of increased malaria incidence in villages around Ethiopian dams in all elevation settings. Reservoir water level management should be considered as an additional malaria vector control tool to help manage malaria transmission around dams. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12936-019-2689-y) contains supplementary material, which is available to authorized users. BioMed Central 2019-02-26 /pmc/articles/PMC6390543/ /pubmed/30808343 http://dx.doi.org/10.1186/s12936-019-2689-y 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
Glenn Wilson, G.
Ryder, Darren
Tekie, Habte
Petros, Beyene
Environmental and meteorological factors linked to malaria transmission around large dams at three ecological settings in Ethiopia
title Environmental and meteorological factors linked to malaria transmission around large dams at three ecological settings in Ethiopia
title_full Environmental and meteorological factors linked to malaria transmission around large dams at three ecological settings in Ethiopia
title_fullStr Environmental and meteorological factors linked to malaria transmission around large dams at three ecological settings in Ethiopia
title_full_unstemmed Environmental and meteorological factors linked to malaria transmission around large dams at three ecological settings in Ethiopia
title_short Environmental and meteorological factors linked to malaria transmission around large dams at three ecological settings in Ethiopia
title_sort environmental and meteorological factors linked to malaria transmission around large dams at three ecological settings in ethiopia
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6390543/
https://www.ncbi.nlm.nih.gov/pubmed/30808343
http://dx.doi.org/10.1186/s12936-019-2689-y
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