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The malaria burden of Amerindian groups of three Venezuelan states: a descriptive study based on programmatic data
BACKGROUND: Fifty-three percent of all cases of malaria in the Americas in 2019 came from Venezuela, where the epidemic is heavily focused south of the Orinoco river, and where most of the country’s Amerindian groups live. Although the disease is known to represent a significant public health proble...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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BioMed Central
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8235908/ https://www.ncbi.nlm.nih.gov/pubmed/34174891 http://dx.doi.org/10.1186/s12936-021-03819-7 |
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author | Gabaldón-Figueira, Juan C. Chaccour, Carlos Moreno, Jorge Villegas, Maria Villegas, Leopoldo |
author_facet | Gabaldón-Figueira, Juan C. Chaccour, Carlos Moreno, Jorge Villegas, Maria Villegas, Leopoldo |
author_sort | Gabaldón-Figueira, Juan C. |
collection | PubMed |
description | BACKGROUND: Fifty-three percent of all cases of malaria in the Americas in 2019 came from Venezuela, where the epidemic is heavily focused south of the Orinoco river, and where most of the country’s Amerindian groups live. Although the disease is known to represent a significant public health problem among these populations, little epidemiological data exists on the subject. This study aims to provide information on malaria incidence, geospatial clustering, and risk factors associated to Plasmodium falciparum infection among these groups. METHODS: This is a descriptive study based on the analysis of published and unpublished programmatic data collected by Venezuelan health authorities and non-government organizations between 2014 and 2018. The Annual Parasite Index among indigenous groups (API-i) in municipalities of three states (Amazonas, Bolivar, and Sucre) were calculated and compared using the Kruskal Wallis test, risk factors for Plasmodium falciparum infection were identified via binomial logistic regression and maps were constructed to identify clusters of malaria cases among indigenous patients via Moran’s I and Getis-Ord’s hot spot analysis. RESULTS: 116,097 cases of malaria in Amerindian groups were registered during the study period. An increasing trend was observed between 2014 and 2016 but reverted in 2018. Malaria incidence remains higher than in 2014 and hot spots were identified in the three states, although more importantly in the south of Bolivar. Most cases (73.3%) were caused by Plasmodium vivax, but the Hoti, Yanomami, and Eñepa indigenous groups presented higher odds for infection with Plasmodium falciparum. CONCLUSION: Malaria cases among Amerindian populations increased between 2014 and 2018 and seem to have a different geographic distribution than those among the general population. These findings suggest that tailored interventions will be necessary to curb the impact of malaria transmission in these groups. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12936-021-03819-7. |
format | Online Article Text |
id | pubmed-8235908 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-82359082021-06-28 The malaria burden of Amerindian groups of three Venezuelan states: a descriptive study based on programmatic data Gabaldón-Figueira, Juan C. Chaccour, Carlos Moreno, Jorge Villegas, Maria Villegas, Leopoldo Malar J Research BACKGROUND: Fifty-three percent of all cases of malaria in the Americas in 2019 came from Venezuela, where the epidemic is heavily focused south of the Orinoco river, and where most of the country’s Amerindian groups live. Although the disease is known to represent a significant public health problem among these populations, little epidemiological data exists on the subject. This study aims to provide information on malaria incidence, geospatial clustering, and risk factors associated to Plasmodium falciparum infection among these groups. METHODS: This is a descriptive study based on the analysis of published and unpublished programmatic data collected by Venezuelan health authorities and non-government organizations between 2014 and 2018. The Annual Parasite Index among indigenous groups (API-i) in municipalities of three states (Amazonas, Bolivar, and Sucre) were calculated and compared using the Kruskal Wallis test, risk factors for Plasmodium falciparum infection were identified via binomial logistic regression and maps were constructed to identify clusters of malaria cases among indigenous patients via Moran’s I and Getis-Ord’s hot spot analysis. RESULTS: 116,097 cases of malaria in Amerindian groups were registered during the study period. An increasing trend was observed between 2014 and 2016 but reverted in 2018. Malaria incidence remains higher than in 2014 and hot spots were identified in the three states, although more importantly in the south of Bolivar. Most cases (73.3%) were caused by Plasmodium vivax, but the Hoti, Yanomami, and Eñepa indigenous groups presented higher odds for infection with Plasmodium falciparum. CONCLUSION: Malaria cases among Amerindian populations increased between 2014 and 2018 and seem to have a different geographic distribution than those among the general population. These findings suggest that tailored interventions will be necessary to curb the impact of malaria transmission in these groups. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s12936-021-03819-7. BioMed Central 2021-06-26 /pmc/articles/PMC8235908/ /pubmed/34174891 http://dx.doi.org/10.1186/s12936-021-03819-7 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Gabaldón-Figueira, Juan C. Chaccour, Carlos Moreno, Jorge Villegas, Maria Villegas, Leopoldo The malaria burden of Amerindian groups of three Venezuelan states: a descriptive study based on programmatic data |
title | The malaria burden of Amerindian groups of three Venezuelan states: a descriptive study based on programmatic data |
title_full | The malaria burden of Amerindian groups of three Venezuelan states: a descriptive study based on programmatic data |
title_fullStr | The malaria burden of Amerindian groups of three Venezuelan states: a descriptive study based on programmatic data |
title_full_unstemmed | The malaria burden of Amerindian groups of three Venezuelan states: a descriptive study based on programmatic data |
title_short | The malaria burden of Amerindian groups of three Venezuelan states: a descriptive study based on programmatic data |
title_sort | malaria burden of amerindian groups of three venezuelan states: a descriptive study based on programmatic data |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8235908/ https://www.ncbi.nlm.nih.gov/pubmed/34174891 http://dx.doi.org/10.1186/s12936-021-03819-7 |
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