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Socioeconomic and environmental factors associated with malaria hotspots in the Nanoro demographic surveillance area, Burkina Faso
BACKGROUND: With limited resources and spatio-temporal heterogeneity of malaria in developing countries, it is still difficult to assess the real impact of socioeconomic and environmental factors in order to set up targeted campaigns against malaria at an accurate scale. Our goal was to detect malar...
Autores principales: | , , , , , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6396465/ https://www.ncbi.nlm.nih.gov/pubmed/30819132 http://dx.doi.org/10.1186/s12889-019-6565-z |
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author | Rouamba, Toussaint Nakanabo-Diallo, Seydou Derra, Karim Rouamba, Eli Kazienga, Adama Inoue, Yasuko Ouédraogo, Ernest K. Waongo, Moussa Dieng, Sokhna Guindo, Abdoulaye Ouédraogo, Boukary Sallah, Kankoé Lévi Barro, Seydou Yaka, Pascal Kirakoya-Samadoulougou, Fati Tinto, Halidou Gaudart, Jean |
author_facet | Rouamba, Toussaint Nakanabo-Diallo, Seydou Derra, Karim Rouamba, Eli Kazienga, Adama Inoue, Yasuko Ouédraogo, Ernest K. Waongo, Moussa Dieng, Sokhna Guindo, Abdoulaye Ouédraogo, Boukary Sallah, Kankoé Lévi Barro, Seydou Yaka, Pascal Kirakoya-Samadoulougou, Fati Tinto, Halidou Gaudart, Jean |
author_sort | Rouamba, Toussaint |
collection | PubMed |
description | BACKGROUND: With limited resources and spatio-temporal heterogeneity of malaria in developing countries, it is still difficult to assess the real impact of socioeconomic and environmental factors in order to set up targeted campaigns against malaria at an accurate scale. Our goal was to detect malaria hotspots in rural area and assess the extent to which household socioeconomic status and meteorological recordings may explain the occurrence and evolution of these hotspots. METHODS: Data on malaria cases from 2010 to 2014 and on socioeconomic and meteorological factors were acquired from four health facilities within the Nanoro demographic surveillance area. Statistical cross correlation was used to quantify the temporal association between weekly malaria incidence and meteorological factors. Local spatial autocorrelation analysis was performed and restricted to each transmission period using Kulldorff’s elliptic spatial scan statistic. Univariate and multivariable analysis were used to assess the principal socioeconomic and meteorological determinants of malaria hotspots using a Generalized Estimating Equation (GEE) approach. RESULTS: Rainfall and temperature were positively and significantly associated with malaria incidence, with a lag time of 9 and 14 weeks, respectively. Spatial analysis showed a spatial autocorrelation of malaria incidence and significant hotspots which was relatively stable throughout the study period. Furthermore, low socioeconomic status households were strongly associated with malaria hotspots (aOR = 1.21, 95% confidence interval: 1.03–1.40). CONCLUSION: These fine-scale findings highlight a relatively stable spatio-temporal pattern of malaria risk and indicate that social and environmental factors play an important role in malaria incidence. Integrating data on these factors into existing malaria struggle tools would help in the development of sustainable bottleneck strategies adapted to the local context for malaria control. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12889-019-6565-z) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-6396465 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-63964652019-03-13 Socioeconomic and environmental factors associated with malaria hotspots in the Nanoro demographic surveillance area, Burkina Faso Rouamba, Toussaint Nakanabo-Diallo, Seydou Derra, Karim Rouamba, Eli Kazienga, Adama Inoue, Yasuko Ouédraogo, Ernest K. Waongo, Moussa Dieng, Sokhna Guindo, Abdoulaye Ouédraogo, Boukary Sallah, Kankoé Lévi Barro, Seydou Yaka, Pascal Kirakoya-Samadoulougou, Fati Tinto, Halidou Gaudart, Jean BMC Public Health Research Article BACKGROUND: With limited resources and spatio-temporal heterogeneity of malaria in developing countries, it is still difficult to assess the real impact of socioeconomic and environmental factors in order to set up targeted campaigns against malaria at an accurate scale. Our goal was to detect malaria hotspots in rural area and assess the extent to which household socioeconomic status and meteorological recordings may explain the occurrence and evolution of these hotspots. METHODS: Data on malaria cases from 2010 to 2014 and on socioeconomic and meteorological factors were acquired from four health facilities within the Nanoro demographic surveillance area. Statistical cross correlation was used to quantify the temporal association between weekly malaria incidence and meteorological factors. Local spatial autocorrelation analysis was performed and restricted to each transmission period using Kulldorff’s elliptic spatial scan statistic. Univariate and multivariable analysis were used to assess the principal socioeconomic and meteorological determinants of malaria hotspots using a Generalized Estimating Equation (GEE) approach. RESULTS: Rainfall and temperature were positively and significantly associated with malaria incidence, with a lag time of 9 and 14 weeks, respectively. Spatial analysis showed a spatial autocorrelation of malaria incidence and significant hotspots which was relatively stable throughout the study period. Furthermore, low socioeconomic status households were strongly associated with malaria hotspots (aOR = 1.21, 95% confidence interval: 1.03–1.40). CONCLUSION: These fine-scale findings highlight a relatively stable spatio-temporal pattern of malaria risk and indicate that social and environmental factors play an important role in malaria incidence. Integrating data on these factors into existing malaria struggle tools would help in the development of sustainable bottleneck strategies adapted to the local context for malaria control. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12889-019-6565-z) contains supplementary material, which is available to authorized users. BioMed Central 2019-02-28 /pmc/articles/PMC6396465/ /pubmed/30819132 http://dx.doi.org/10.1186/s12889-019-6565-z 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 Article Rouamba, Toussaint Nakanabo-Diallo, Seydou Derra, Karim Rouamba, Eli Kazienga, Adama Inoue, Yasuko Ouédraogo, Ernest K. Waongo, Moussa Dieng, Sokhna Guindo, Abdoulaye Ouédraogo, Boukary Sallah, Kankoé Lévi Barro, Seydou Yaka, Pascal Kirakoya-Samadoulougou, Fati Tinto, Halidou Gaudart, Jean Socioeconomic and environmental factors associated with malaria hotspots in the Nanoro demographic surveillance area, Burkina Faso |
title | Socioeconomic and environmental factors associated with malaria hotspots in the Nanoro demographic surveillance area, Burkina Faso |
title_full | Socioeconomic and environmental factors associated with malaria hotspots in the Nanoro demographic surveillance area, Burkina Faso |
title_fullStr | Socioeconomic and environmental factors associated with malaria hotspots in the Nanoro demographic surveillance area, Burkina Faso |
title_full_unstemmed | Socioeconomic and environmental factors associated with malaria hotspots in the Nanoro demographic surveillance area, Burkina Faso |
title_short | Socioeconomic and environmental factors associated with malaria hotspots in the Nanoro demographic surveillance area, Burkina Faso |
title_sort | socioeconomic and environmental factors associated with malaria hotspots in the nanoro demographic surveillance area, burkina faso |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6396465/ https://www.ncbi.nlm.nih.gov/pubmed/30819132 http://dx.doi.org/10.1186/s12889-019-6565-z |
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