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Temporal dynamic of malaria in a suburban area along the Niger River

BACKGROUND: Even if rainfall and temperature are factors classically associated to malaria, little is known about other meteorological factors, their variability and combinations related to malaria, in association with river height variations. Furthermore, in suburban area, urbanization and growing...

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Autores principales: Sissoko, Mahamadou Soumana, Sissoko, Kourane, Kamate, Bourama, Samake, Yacouba, Goita, Siaka, Dabo, Abdoulaye, Yena, Mama, Dessay, Nadine, Piarroux, Renaud, Doumbo, Ogobara K., Gaudart, Jean
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
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Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5651586/
https://www.ncbi.nlm.nih.gov/pubmed/29058578
http://dx.doi.org/10.1186/s12936-017-2068-5
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author Sissoko, Mahamadou Soumana
Sissoko, Kourane
Kamate, Bourama
Samake, Yacouba
Goita, Siaka
Dabo, Abdoulaye
Yena, Mama
Dessay, Nadine
Piarroux, Renaud
Doumbo, Ogobara K.
Gaudart, Jean
author_facet Sissoko, Mahamadou Soumana
Sissoko, Kourane
Kamate, Bourama
Samake, Yacouba
Goita, Siaka
Dabo, Abdoulaye
Yena, Mama
Dessay, Nadine
Piarroux, Renaud
Doumbo, Ogobara K.
Gaudart, Jean
author_sort Sissoko, Mahamadou Soumana
collection PubMed
description BACKGROUND: Even if rainfall and temperature are factors classically associated to malaria, little is known about other meteorological factors, their variability and combinations related to malaria, in association with river height variations. Furthermore, in suburban area, urbanization and growing population density should be assessed in relation to these environmental factors. The aim of this study was to assess the impact of combined environmental, meteorological and hydrological factors on malaria incidence through time in the context of urbanization. METHODS: Population observational data were prospectively collected. Clinical malaria was defined as the presence of parasites in addition to clinical symptoms. Meteorological and hydrological factors were measured daily. For each factors variation indices were estimated. Urbanization was yearly estimated assessing satellite imaging and field investigations. Principal component analysis was used for dimension reduction and factors combination. Lags between malaria incidences and the main components were assessed by cross-correlation functions. Generalized additive model was used to assess relative impact of different environmental components, taking into account lags, and modelling non-linear relationships. Change-point analysis was used to determine transmission periods within years. RESULTS: Malaria incidences were dominated by annual periodicity and varied through time without modification of the dynamic, with no impact of the urbanization. The main meteorological factor associated with malaria was a combination of evaporation, humidity and rainfall, with a lag of 3 months. The relationship between combined temperature factors showed a linear impact until reaching high temperatures limiting malaria incidence, with a lag 3.25 months. Height and variation of the river were related to malaria incidence (respectively 6 week lag and no lag). CONCLUSIONS: The study emphasizes no decreasing trend of malaria incidence despite accurate access to care and control strategies in accordance to international recommendations. Furthermore, no decreasing trend was showed despite the urbanization of the area. Malaria transmission remain increase 3 months after the beginning of the dry season. Addition to evaporation versus humidity/rainfall, nonlinear relationship for temperature and river height and variations have to be taken into account when implementing malaria control programmes.
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spelling pubmed-56515862017-10-26 Temporal dynamic of malaria in a suburban area along the Niger River Sissoko, Mahamadou Soumana Sissoko, Kourane Kamate, Bourama Samake, Yacouba Goita, Siaka Dabo, Abdoulaye Yena, Mama Dessay, Nadine Piarroux, Renaud Doumbo, Ogobara K. Gaudart, Jean Malar J Research BACKGROUND: Even if rainfall and temperature are factors classically associated to malaria, little is known about other meteorological factors, their variability and combinations related to malaria, in association with river height variations. Furthermore, in suburban area, urbanization and growing population density should be assessed in relation to these environmental factors. The aim of this study was to assess the impact of combined environmental, meteorological and hydrological factors on malaria incidence through time in the context of urbanization. METHODS: Population observational data were prospectively collected. Clinical malaria was defined as the presence of parasites in addition to clinical symptoms. Meteorological and hydrological factors were measured daily. For each factors variation indices were estimated. Urbanization was yearly estimated assessing satellite imaging and field investigations. Principal component analysis was used for dimension reduction and factors combination. Lags between malaria incidences and the main components were assessed by cross-correlation functions. Generalized additive model was used to assess relative impact of different environmental components, taking into account lags, and modelling non-linear relationships. Change-point analysis was used to determine transmission periods within years. RESULTS: Malaria incidences were dominated by annual periodicity and varied through time without modification of the dynamic, with no impact of the urbanization. The main meteorological factor associated with malaria was a combination of evaporation, humidity and rainfall, with a lag of 3 months. The relationship between combined temperature factors showed a linear impact until reaching high temperatures limiting malaria incidence, with a lag 3.25 months. Height and variation of the river were related to malaria incidence (respectively 6 week lag and no lag). CONCLUSIONS: The study emphasizes no decreasing trend of malaria incidence despite accurate access to care and control strategies in accordance to international recommendations. Furthermore, no decreasing trend was showed despite the urbanization of the area. Malaria transmission remain increase 3 months after the beginning of the dry season. Addition to evaporation versus humidity/rainfall, nonlinear relationship for temperature and river height and variations have to be taken into account when implementing malaria control programmes. BioMed Central 2017-10-23 /pmc/articles/PMC5651586/ /pubmed/29058578 http://dx.doi.org/10.1186/s12936-017-2068-5 Text en © The Author(s) 2017 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
Sissoko, Mahamadou Soumana
Sissoko, Kourane
Kamate, Bourama
Samake, Yacouba
Goita, Siaka
Dabo, Abdoulaye
Yena, Mama
Dessay, Nadine
Piarroux, Renaud
Doumbo, Ogobara K.
Gaudart, Jean
Temporal dynamic of malaria in a suburban area along the Niger River
title Temporal dynamic of malaria in a suburban area along the Niger River
title_full Temporal dynamic of malaria in a suburban area along the Niger River
title_fullStr Temporal dynamic of malaria in a suburban area along the Niger River
title_full_unstemmed Temporal dynamic of malaria in a suburban area along the Niger River
title_short Temporal dynamic of malaria in a suburban area along the Niger River
title_sort temporal dynamic of malaria in a suburban area along the niger river
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5651586/
https://www.ncbi.nlm.nih.gov/pubmed/29058578
http://dx.doi.org/10.1186/s12936-017-2068-5
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