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A geostatistical analysis of the association between armed conflicts and Plasmodium falciparum malaria in Africa, 1997–2010

BACKGROUND: The absence of conflict in a country has been cited as a crucial factor affecting the operational feasibility of achieving malaria control and elimination, yet mixed evidence exists on the influence that conflicts have had on malaria transmission. Over the past two decades, Africa has se...

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Autores principales: Sedda, Luigi, Qi, Qiuyin, Tatem, Andrew J.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4681145/
https://www.ncbi.nlm.nih.gov/pubmed/26670739
http://dx.doi.org/10.1186/s12936-015-1024-5
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author Sedda, Luigi
Qi, Qiuyin
Tatem, Andrew J.
author_facet Sedda, Luigi
Qi, Qiuyin
Tatem, Andrew J.
author_sort Sedda, Luigi
collection PubMed
description BACKGROUND: The absence of conflict in a country has been cited as a crucial factor affecting the operational feasibility of achieving malaria control and elimination, yet mixed evidence exists on the influence that conflicts have had on malaria transmission. Over the past two decades, Africa has seen substantial numbers of armed conflicts of varying length and scale, creating conditions that can disrupt control efforts and impact malaria transmission. However, very few studies have quantitatively assessed the associations between conflicts and malaria transmission, particularly in a consistent way across multiple countries. METHODS: In this analysis an explicit geostatistical, autoregressive, mixed model is employed to quantitatively assess the association between conflicts and variations in Plasmodium falciparum parasite prevalence across a 13-year period in sub-Saharan Africa. RESULTS: Analyses of geolocated, malaria prevalence survey variations against armed conflict data in general showed a wide, but short-lived impact of conflict events geographically. The number of countries with decreased P. falciparum parasite prevalence (17) is larger than the number of countries with increased transmission (12), and notably, some of the countries with the highest transmission pre-conflict were still found with lower transmission post-conflict. For four countries, there were no significant changes in parasite prevalence. Finally, distance from conflicts, duration of conflicts, violence of conflict, and number of conflicts were significant components in the model explaining the changes in P. falciparum parasite rate. CONCLUSIONS: The results suggest that the maintenance of intervention coverage and provision of healthcare in conflict situations to protect vulnerable populations can maintain gains in even the most difficult of circumstances, and that conflict does not represent a substantial barrier to elimination goals.
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spelling pubmed-46811452015-12-17 A geostatistical analysis of the association between armed conflicts and Plasmodium falciparum malaria in Africa, 1997–2010 Sedda, Luigi Qi, Qiuyin Tatem, Andrew J. Malar J Research BACKGROUND: The absence of conflict in a country has been cited as a crucial factor affecting the operational feasibility of achieving malaria control and elimination, yet mixed evidence exists on the influence that conflicts have had on malaria transmission. Over the past two decades, Africa has seen substantial numbers of armed conflicts of varying length and scale, creating conditions that can disrupt control efforts and impact malaria transmission. However, very few studies have quantitatively assessed the associations between conflicts and malaria transmission, particularly in a consistent way across multiple countries. METHODS: In this analysis an explicit geostatistical, autoregressive, mixed model is employed to quantitatively assess the association between conflicts and variations in Plasmodium falciparum parasite prevalence across a 13-year period in sub-Saharan Africa. RESULTS: Analyses of geolocated, malaria prevalence survey variations against armed conflict data in general showed a wide, but short-lived impact of conflict events geographically. The number of countries with decreased P. falciparum parasite prevalence (17) is larger than the number of countries with increased transmission (12), and notably, some of the countries with the highest transmission pre-conflict were still found with lower transmission post-conflict. For four countries, there were no significant changes in parasite prevalence. Finally, distance from conflicts, duration of conflicts, violence of conflict, and number of conflicts were significant components in the model explaining the changes in P. falciparum parasite rate. CONCLUSIONS: The results suggest that the maintenance of intervention coverage and provision of healthcare in conflict situations to protect vulnerable populations can maintain gains in even the most difficult of circumstances, and that conflict does not represent a substantial barrier to elimination goals. BioMed Central 2015-12-16 /pmc/articles/PMC4681145/ /pubmed/26670739 http://dx.doi.org/10.1186/s12936-015-1024-5 Text en © Sedda et al. 2015 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
Sedda, Luigi
Qi, Qiuyin
Tatem, Andrew J.
A geostatistical analysis of the association between armed conflicts and Plasmodium falciparum malaria in Africa, 1997–2010
title A geostatistical analysis of the association between armed conflicts and Plasmodium falciparum malaria in Africa, 1997–2010
title_full A geostatistical analysis of the association between armed conflicts and Plasmodium falciparum malaria in Africa, 1997–2010
title_fullStr A geostatistical analysis of the association between armed conflicts and Plasmodium falciparum malaria in Africa, 1997–2010
title_full_unstemmed A geostatistical analysis of the association between armed conflicts and Plasmodium falciparum malaria in Africa, 1997–2010
title_short A geostatistical analysis of the association between armed conflicts and Plasmodium falciparum malaria in Africa, 1997–2010
title_sort geostatistical analysis of the association between armed conflicts and plasmodium falciparum malaria in africa, 1997–2010
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4681145/
https://www.ncbi.nlm.nih.gov/pubmed/26670739
http://dx.doi.org/10.1186/s12936-015-1024-5
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