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Spatial modelling of malaria prevalence associated with geographical factors in Houet province of Burkina Faso, West Africa
Malaria is a permanent threat to health in western Burkina Faso. Research has shown that geographical variables contribute to the spatial distribution in its transmission. The objective of this study is to assess the relationship between malaria prevalence and potential explanatory geographical vari...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer Netherlands
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10161614/ https://www.ncbi.nlm.nih.gov/pubmed/37159582 http://dx.doi.org/10.1007/s10708-022-10692-7 |
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author | Millogo, Abdoul Azize Yaméogo, Lassane Kassié, Daouda de Charles Ouédraogo, François Guissou, Charles Diabaté, Abdoulaye |
author_facet | Millogo, Abdoul Azize Yaméogo, Lassane Kassié, Daouda de Charles Ouédraogo, François Guissou, Charles Diabaté, Abdoulaye |
author_sort | Millogo, Abdoul Azize |
collection | PubMed |
description | Malaria is a permanent threat to health in western Burkina Faso. Research has shown that geographical variables contribute to the spatial distribution in its transmission. The objective of this study is to assess the relationship between malaria prevalence and potential explanatory geographical variables in the Houet province in Burkina Faso. Statistics on malaria prevalence registered by health centres in the Houet province in 2017 and potential geographical variables identified through a literature review were collected. An Ordinary Least Squares (OLS) regression was used to identify key geographical variables and to measure their association with malaria while the Getis Ord Gi* index was used to locate malaria hotspots. The results showed that average annual temperature, vegetation density, percentage of clay in the soil, total annual rainfall and distance to the nearest waterbody are the main variables associated with malaria prevalence. These variables account for two-thirds of the spatial variability of malaria prevalence observed in Houet province. The intensity and direction of the relationship between malaria prevalence and geographical factors vary according to the variable. Hence, only vegetation density is positively correlated with malaria prevalence. Average temperature, for soil clay content, annual rainfall and for distance to the nearest water body are negatively correlated with the disease prevalence. These results show that even in an endemic area, malaria prevalence has significant spatial variation. The results could contribute to the choice of intervention sites, as this choice is crucial for reducing the malaria burden. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10708-022-10692-7. |
format | Online Article Text |
id | pubmed-10161614 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Springer Netherlands |
record_format | MEDLINE/PubMed |
spelling | pubmed-101616142023-05-06 Spatial modelling of malaria prevalence associated with geographical factors in Houet province of Burkina Faso, West Africa Millogo, Abdoul Azize Yaméogo, Lassane Kassié, Daouda de Charles Ouédraogo, François Guissou, Charles Diabaté, Abdoulaye GeoJournal Article Malaria is a permanent threat to health in western Burkina Faso. Research has shown that geographical variables contribute to the spatial distribution in its transmission. The objective of this study is to assess the relationship between malaria prevalence and potential explanatory geographical variables in the Houet province in Burkina Faso. Statistics on malaria prevalence registered by health centres in the Houet province in 2017 and potential geographical variables identified through a literature review were collected. An Ordinary Least Squares (OLS) regression was used to identify key geographical variables and to measure their association with malaria while the Getis Ord Gi* index was used to locate malaria hotspots. The results showed that average annual temperature, vegetation density, percentage of clay in the soil, total annual rainfall and distance to the nearest waterbody are the main variables associated with malaria prevalence. These variables account for two-thirds of the spatial variability of malaria prevalence observed in Houet province. The intensity and direction of the relationship between malaria prevalence and geographical factors vary according to the variable. Hence, only vegetation density is positively correlated with malaria prevalence. Average temperature, for soil clay content, annual rainfall and for distance to the nearest water body are negatively correlated with the disease prevalence. These results show that even in an endemic area, malaria prevalence has significant spatial variation. The results could contribute to the choice of intervention sites, as this choice is crucial for reducing the malaria burden. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1007/s10708-022-10692-7. Springer Netherlands 2022-08-01 2023 /pmc/articles/PMC10161614/ /pubmed/37159582 http://dx.doi.org/10.1007/s10708-022-10692-7 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Millogo, Abdoul Azize Yaméogo, Lassane Kassié, Daouda de Charles Ouédraogo, François Guissou, Charles Diabaté, Abdoulaye Spatial modelling of malaria prevalence associated with geographical factors in Houet province of Burkina Faso, West Africa |
title | Spatial modelling of malaria prevalence associated with geographical factors in Houet province of Burkina Faso, West Africa |
title_full | Spatial modelling of malaria prevalence associated with geographical factors in Houet province of Burkina Faso, West Africa |
title_fullStr | Spatial modelling of malaria prevalence associated with geographical factors in Houet province of Burkina Faso, West Africa |
title_full_unstemmed | Spatial modelling of malaria prevalence associated with geographical factors in Houet province of Burkina Faso, West Africa |
title_short | Spatial modelling of malaria prevalence associated with geographical factors in Houet province of Burkina Faso, West Africa |
title_sort | spatial modelling of malaria prevalence associated with geographical factors in houet province of burkina faso, west africa |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10161614/ https://www.ncbi.nlm.nih.gov/pubmed/37159582 http://dx.doi.org/10.1007/s10708-022-10692-7 |
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