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Malaria mortality characterization and the relationship between malaria mortality and climate in Chimoio, Mozambique
BACKGROUND: The United Nation’s sustainable development goal for 2030 is to eradicate the global malaria epidemic, primarily as the disease continues to be one of the major concerns for public health in sub-Saharan Africa. In 2015, the region accounted for 90% of malaria deaths. Mozambique recorded...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2017
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5440990/ https://www.ncbi.nlm.nih.gov/pubmed/28532410 http://dx.doi.org/10.1186/s12936-017-1866-0 |
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author | Ferrão, João Luís Mendes, Jorge M. Painho, Marco Zacarias, Sara |
author_facet | Ferrão, João Luís Mendes, Jorge M. Painho, Marco Zacarias, Sara |
author_sort | Ferrão, João Luís |
collection | PubMed |
description | BACKGROUND: The United Nation’s sustainable development goal for 2030 is to eradicate the global malaria epidemic, primarily as the disease continues to be one of the major concerns for public health in sub-Saharan Africa. In 2015, the region accounted for 90% of malaria deaths. Mozambique recorded a malaria mortality rate of 42.75 (per 100,000). In Chimoio, Mozambique’s fifth largest city, malaria is the fourth leading cause of death (9.4%). Few data on malaria mortality exists in Mozambique, particularly in relation to Chimoio. The objective of this study was to characterize malaria mortality trends and its spatial distribution in Chimoio. METHODS: Malaria mortality data and climate data were extracted from the Chimoio Civil Registration records, and the Regional Weather station, from 2010 to 2014. The malaria crude mortality rate was calculated. ANOVA, Tukey’s, Chi square, and time series were carried out and an intervention analysis ARIMA model developed. RESULTS: A total of 944 malaria death cases were registered in Chimoio, 729 of these among Chimoio residents (77%). The average malaria mortality by gender was 44.9% for females and 55.1% for males. The age of death varied from 0 to 96 years, with an average age of 25.9 (SE = 0.79) years old. January presented the highest average of malaria deaths, and urban areas presented a lower crude malaria mortality rate. Rural neighbourhoods with good accessibility present the highest malaria crude mortality rate, over 85 per 100,000. Seasonal ARMA (2,0)(1,0)(12) fitted the data although it was not able to capture malaria mortality peaks occurring during malaria outbreaks. Intervention effect properly fit the mortality peaks and reduced ARMA’s root mean square error by almost 25%. CONCLUSION: Malaria mortality is increasing in Chimoio; children between 1 and 4 years old represent 13% of Chimoio population, but account for 25% of malaria mortality. Malaria mortality shows seasonal and spatial characteristics. More studies should be carried out for malaria eradication in the municipality. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12936-017-1866-0) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-5440990 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2017 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-54409902017-05-24 Malaria mortality characterization and the relationship between malaria mortality and climate in Chimoio, Mozambique Ferrão, João Luís Mendes, Jorge M. Painho, Marco Zacarias, Sara Malar J Research BACKGROUND: The United Nation’s sustainable development goal for 2030 is to eradicate the global malaria epidemic, primarily as the disease continues to be one of the major concerns for public health in sub-Saharan Africa. In 2015, the region accounted for 90% of malaria deaths. Mozambique recorded a malaria mortality rate of 42.75 (per 100,000). In Chimoio, Mozambique’s fifth largest city, malaria is the fourth leading cause of death (9.4%). Few data on malaria mortality exists in Mozambique, particularly in relation to Chimoio. The objective of this study was to characterize malaria mortality trends and its spatial distribution in Chimoio. METHODS: Malaria mortality data and climate data were extracted from the Chimoio Civil Registration records, and the Regional Weather station, from 2010 to 2014. The malaria crude mortality rate was calculated. ANOVA, Tukey’s, Chi square, and time series were carried out and an intervention analysis ARIMA model developed. RESULTS: A total of 944 malaria death cases were registered in Chimoio, 729 of these among Chimoio residents (77%). The average malaria mortality by gender was 44.9% for females and 55.1% for males. The age of death varied from 0 to 96 years, with an average age of 25.9 (SE = 0.79) years old. January presented the highest average of malaria deaths, and urban areas presented a lower crude malaria mortality rate. Rural neighbourhoods with good accessibility present the highest malaria crude mortality rate, over 85 per 100,000. Seasonal ARMA (2,0)(1,0)(12) fitted the data although it was not able to capture malaria mortality peaks occurring during malaria outbreaks. Intervention effect properly fit the mortality peaks and reduced ARMA’s root mean square error by almost 25%. CONCLUSION: Malaria mortality is increasing in Chimoio; children between 1 and 4 years old represent 13% of Chimoio population, but account for 25% of malaria mortality. Malaria mortality shows seasonal and spatial characteristics. More studies should be carried out for malaria eradication in the municipality. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12936-017-1866-0) contains supplementary material, which is available to authorized users. BioMed Central 2017-05-22 /pmc/articles/PMC5440990/ /pubmed/28532410 http://dx.doi.org/10.1186/s12936-017-1866-0 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 Ferrão, João Luís Mendes, Jorge M. Painho, Marco Zacarias, Sara Malaria mortality characterization and the relationship between malaria mortality and climate in Chimoio, Mozambique |
title | Malaria mortality characterization and the relationship between malaria mortality and climate in Chimoio, Mozambique |
title_full | Malaria mortality characterization and the relationship between malaria mortality and climate in Chimoio, Mozambique |
title_fullStr | Malaria mortality characterization and the relationship between malaria mortality and climate in Chimoio, Mozambique |
title_full_unstemmed | Malaria mortality characterization and the relationship between malaria mortality and climate in Chimoio, Mozambique |
title_short | Malaria mortality characterization and the relationship between malaria mortality and climate in Chimoio, Mozambique |
title_sort | malaria mortality characterization and the relationship between malaria mortality and climate in chimoio, mozambique |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5440990/ https://www.ncbi.nlm.nih.gov/pubmed/28532410 http://dx.doi.org/10.1186/s12936-017-1866-0 |
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