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Spatio-seasonal modeling of the incidence rate of malaria in Mozambique

BACKGROUND: The objective was to study the seasonal effect on the spatial distribution of the incidence of malaria in children under 10 years old living in the Manhiça district, Mozambique. METHODS: The data of the clinical malaria incidence were obtained from a study of two cohorts of children foll...

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Autores principales: Abellana, Rosa, Ascaso, Carlos, Aponte, John, Saute, Francisco, Nhalungo, Delino, Nhacolo, Ariel, Alonso, Pedro
Formato: Texto
Lenguaje:English
Publicado: BioMed Central 2008
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2584655/
https://www.ncbi.nlm.nih.gov/pubmed/18976458
http://dx.doi.org/10.1186/1475-2875-7-228
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author Abellana, Rosa
Ascaso, Carlos
Aponte, John
Saute, Francisco
Nhalungo, Delino
Nhacolo, Ariel
Alonso, Pedro
author_facet Abellana, Rosa
Ascaso, Carlos
Aponte, John
Saute, Francisco
Nhalungo, Delino
Nhacolo, Ariel
Alonso, Pedro
author_sort Abellana, Rosa
collection PubMed
description BACKGROUND: The objective was to study the seasonal effect on the spatial distribution of the incidence of malaria in children under 10 years old living in the Manhiça district, Mozambique. METHODS: The data of the clinical malaria incidence were obtained from a study of two cohorts of children followed from December 1996 to July 1999. The cases were obtained by the active detection method. Hierarchical Bayesian models were used to model the incidence of malaria, including spatial correlation nested to climatic season. The models were compared with the deviance information criterion. The age and gender of the children were also taken into account. RESULTS: The incidence of malaria is associated with age, period and climate season. The incidence presents a clear spatial pattern, with a higher incidence in the neighbourhoods situated in the north and northeast of the Manhiça area. The transmission of malaria is highest during the wet season but the spatial pattern of malaria does not differ from that during the dry season. CONCLUSION: The incidence of malaria in Manhiça presents a spatial pattern which is independent of the seasonal climatic conditions. The climate modifies the incidence of malaria in the entire region but does not change the spatial pattern of the incidence of this disease. These findings may be useful for the planning of malaria control activities. These activities can be performed taking account that the neighbourhoods with more incidence of malaria do not change over the annual climate seasons.
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spelling pubmed-25846552008-11-19 Spatio-seasonal modeling of the incidence rate of malaria in Mozambique Abellana, Rosa Ascaso, Carlos Aponte, John Saute, Francisco Nhalungo, Delino Nhacolo, Ariel Alonso, Pedro Malar J Research BACKGROUND: The objective was to study the seasonal effect on the spatial distribution of the incidence of malaria in children under 10 years old living in the Manhiça district, Mozambique. METHODS: The data of the clinical malaria incidence were obtained from a study of two cohorts of children followed from December 1996 to July 1999. The cases were obtained by the active detection method. Hierarchical Bayesian models were used to model the incidence of malaria, including spatial correlation nested to climatic season. The models were compared with the deviance information criterion. The age and gender of the children were also taken into account. RESULTS: The incidence of malaria is associated with age, period and climate season. The incidence presents a clear spatial pattern, with a higher incidence in the neighbourhoods situated in the north and northeast of the Manhiça area. The transmission of malaria is highest during the wet season but the spatial pattern of malaria does not differ from that during the dry season. CONCLUSION: The incidence of malaria in Manhiça presents a spatial pattern which is independent of the seasonal climatic conditions. The climate modifies the incidence of malaria in the entire region but does not change the spatial pattern of the incidence of this disease. These findings may be useful for the planning of malaria control activities. These activities can be performed taking account that the neighbourhoods with more incidence of malaria do not change over the annual climate seasons. BioMed Central 2008-10-31 /pmc/articles/PMC2584655/ /pubmed/18976458 http://dx.doi.org/10.1186/1475-2875-7-228 Text en Copyright © 2008 Abellana et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Research
Abellana, Rosa
Ascaso, Carlos
Aponte, John
Saute, Francisco
Nhalungo, Delino
Nhacolo, Ariel
Alonso, Pedro
Spatio-seasonal modeling of the incidence rate of malaria in Mozambique
title Spatio-seasonal modeling of the incidence rate of malaria in Mozambique
title_full Spatio-seasonal modeling of the incidence rate of malaria in Mozambique
title_fullStr Spatio-seasonal modeling of the incidence rate of malaria in Mozambique
title_full_unstemmed Spatio-seasonal modeling of the incidence rate of malaria in Mozambique
title_short Spatio-seasonal modeling of the incidence rate of malaria in Mozambique
title_sort spatio-seasonal modeling of the incidence rate of malaria in mozambique
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2584655/
https://www.ncbi.nlm.nih.gov/pubmed/18976458
http://dx.doi.org/10.1186/1475-2875-7-228
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