Cargando…
Spatio-temporal dynamic of malaria in Ouagadougou, Burkina Faso, 2011–2015
BACKGROUND: Given the scarcity of resources in developing countries, malaria treatment requires new strategies that target specific populations, time periods and geographical areas. While the spatial pattern of malaria transmission is known to vary depending on local conditions, its temporal evoluti...
Autores principales: | , , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2018
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5879937/ https://www.ncbi.nlm.nih.gov/pubmed/29609606 http://dx.doi.org/10.1186/s12936-018-2280-y |
_version_ | 1783311085790560256 |
---|---|
author | Ouedraogo, Boukary Inoue, Yasuko Kambiré, Alinsa Sallah, Kankoe Dieng, Sokhna Tine, Raphael Rouamba, Toussaint Herbreteau, Vincent Sawadogo, Yacouba Ouedraogo, Landaogo S. L. W. Yaka, Pascal Ouedraogo, Ernest K. Dufour, Jean-Charles Gaudart, Jean |
author_facet | Ouedraogo, Boukary Inoue, Yasuko Kambiré, Alinsa Sallah, Kankoe Dieng, Sokhna Tine, Raphael Rouamba, Toussaint Herbreteau, Vincent Sawadogo, Yacouba Ouedraogo, Landaogo S. L. W. Yaka, Pascal Ouedraogo, Ernest K. Dufour, Jean-Charles Gaudart, Jean |
author_sort | Ouedraogo, Boukary |
collection | PubMed |
description | BACKGROUND: Given the scarcity of resources in developing countries, malaria treatment requires new strategies that target specific populations, time periods and geographical areas. While the spatial pattern of malaria transmission is known to vary depending on local conditions, its temporal evolution has yet to be evaluated. The aim of this study was to determine the spatio-temporal dynamic of malaria in the central region of Burkina Faso, taking into account meteorological factors. METHODS: Drawing on national databases, 101 health areas were studied from 2011 to 2015, together with weekly meteorological data (temperature, number of rain events, rainfall, humidity, wind speed). Meteorological factors were investigated using a principal component analysis (PCA) to reduce dimensions and avoid collinearities. The Box–Jenkins ARIMA model was used to test the stationarity of the time series. The impact of meteorological factors on malaria incidence was measured with a general additive model. A change-point analysis was performed to detect malaria transmission periods. For each transmission period, malaria incidence was mapped and hotspots were identified using spatial cluster detection. RESULTS: Malaria incidence never went below 13.7 cases/10,000 person-weeks. The first and second PCA components (constituted by rain/humidity and temperatures, respectively) were correlated with malaria incidence with a lag of 2 weeks. The impact of temperature was significantly non-linear: malaria incidence increased with temperature but declined sharply with high temperature. A significant positive linear trend was found for the entire time period. Three transmission periods were detected: low (16.8–29.9 cases/10,000 person-weeks), high (51.7–84.8 cases/10,000 person-weeks), and intermediate (26.7–32.2 cases/10,000 person-weeks). The location of clusters identified as high risk varied little across transmission periods. CONCLUSION: This study highlighted the spatial variability and relative temporal stability of malaria incidence around the capital Ouagadougou, in the central region of Burkina Faso. Despite increasing efforts in fighting the disease, malaria incidence remained high and increased over the period of study. Hotspots, particularly those detected for low transmission periods, should be investigated further to uncover the local environmental and behavioural factors of transmission, and hence to allow for the development of better targeted control strategies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12936-018-2280-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5879937 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-58799372018-04-04 Spatio-temporal dynamic of malaria in Ouagadougou, Burkina Faso, 2011–2015 Ouedraogo, Boukary Inoue, Yasuko Kambiré, Alinsa Sallah, Kankoe Dieng, Sokhna Tine, Raphael Rouamba, Toussaint Herbreteau, Vincent Sawadogo, Yacouba Ouedraogo, Landaogo S. L. W. Yaka, Pascal Ouedraogo, Ernest K. Dufour, Jean-Charles Gaudart, Jean Malar J Research BACKGROUND: Given the scarcity of resources in developing countries, malaria treatment requires new strategies that target specific populations, time periods and geographical areas. While the spatial pattern of malaria transmission is known to vary depending on local conditions, its temporal evolution has yet to be evaluated. The aim of this study was to determine the spatio-temporal dynamic of malaria in the central region of Burkina Faso, taking into account meteorological factors. METHODS: Drawing on national databases, 101 health areas were studied from 2011 to 2015, together with weekly meteorological data (temperature, number of rain events, rainfall, humidity, wind speed). Meteorological factors were investigated using a principal component analysis (PCA) to reduce dimensions and avoid collinearities. The Box–Jenkins ARIMA model was used to test the stationarity of the time series. The impact of meteorological factors on malaria incidence was measured with a general additive model. A change-point analysis was performed to detect malaria transmission periods. For each transmission period, malaria incidence was mapped and hotspots were identified using spatial cluster detection. RESULTS: Malaria incidence never went below 13.7 cases/10,000 person-weeks. The first and second PCA components (constituted by rain/humidity and temperatures, respectively) were correlated with malaria incidence with a lag of 2 weeks. The impact of temperature was significantly non-linear: malaria incidence increased with temperature but declined sharply with high temperature. A significant positive linear trend was found for the entire time period. Three transmission periods were detected: low (16.8–29.9 cases/10,000 person-weeks), high (51.7–84.8 cases/10,000 person-weeks), and intermediate (26.7–32.2 cases/10,000 person-weeks). The location of clusters identified as high risk varied little across transmission periods. CONCLUSION: This study highlighted the spatial variability and relative temporal stability of malaria incidence around the capital Ouagadougou, in the central region of Burkina Faso. Despite increasing efforts in fighting the disease, malaria incidence remained high and increased over the period of study. Hotspots, particularly those detected for low transmission periods, should be investigated further to uncover the local environmental and behavioural factors of transmission, and hence to allow for the development of better targeted control strategies. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12936-018-2280-y) contains supplementary material, which is available to authorized users. BioMed Central 2018-04-02 /pmc/articles/PMC5879937/ /pubmed/29609606 http://dx.doi.org/10.1186/s12936-018-2280-y Text en © The Author(s) 2018 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 Ouedraogo, Boukary Inoue, Yasuko Kambiré, Alinsa Sallah, Kankoe Dieng, Sokhna Tine, Raphael Rouamba, Toussaint Herbreteau, Vincent Sawadogo, Yacouba Ouedraogo, Landaogo S. L. W. Yaka, Pascal Ouedraogo, Ernest K. Dufour, Jean-Charles Gaudart, Jean Spatio-temporal dynamic of malaria in Ouagadougou, Burkina Faso, 2011–2015 |
title | Spatio-temporal dynamic of malaria in Ouagadougou, Burkina Faso, 2011–2015 |
title_full | Spatio-temporal dynamic of malaria in Ouagadougou, Burkina Faso, 2011–2015 |
title_fullStr | Spatio-temporal dynamic of malaria in Ouagadougou, Burkina Faso, 2011–2015 |
title_full_unstemmed | Spatio-temporal dynamic of malaria in Ouagadougou, Burkina Faso, 2011–2015 |
title_short | Spatio-temporal dynamic of malaria in Ouagadougou, Burkina Faso, 2011–2015 |
title_sort | spatio-temporal dynamic of malaria in ouagadougou, burkina faso, 2011–2015 |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5879937/ https://www.ncbi.nlm.nih.gov/pubmed/29609606 http://dx.doi.org/10.1186/s12936-018-2280-y |
work_keys_str_mv | AT ouedraogoboukary spatiotemporaldynamicofmalariainouagadougouburkinafaso20112015 AT inoueyasuko spatiotemporaldynamicofmalariainouagadougouburkinafaso20112015 AT kambirealinsa spatiotemporaldynamicofmalariainouagadougouburkinafaso20112015 AT sallahkankoe spatiotemporaldynamicofmalariainouagadougouburkinafaso20112015 AT diengsokhna spatiotemporaldynamicofmalariainouagadougouburkinafaso20112015 AT tineraphael spatiotemporaldynamicofmalariainouagadougouburkinafaso20112015 AT rouambatoussaint spatiotemporaldynamicofmalariainouagadougouburkinafaso20112015 AT herbreteauvincent spatiotemporaldynamicofmalariainouagadougouburkinafaso20112015 AT sawadogoyacouba spatiotemporaldynamicofmalariainouagadougouburkinafaso20112015 AT ouedraogolandaogoslw spatiotemporaldynamicofmalariainouagadougouburkinafaso20112015 AT yakapascal spatiotemporaldynamicofmalariainouagadougouburkinafaso20112015 AT ouedraogoernestk spatiotemporaldynamicofmalariainouagadougouburkinafaso20112015 AT dufourjeancharles spatiotemporaldynamicofmalariainouagadougouburkinafaso20112015 AT gaudartjean spatiotemporaldynamicofmalariainouagadougouburkinafaso20112015 |