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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...

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Autores principales: 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
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
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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.
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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
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