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Climatic fluctuations and malaria transmission dynamics, prior to elimination, in Guna Yala, República de Panamá

BACKGROUND: Malaria has historically been entrenched in indigenous populations of the República de Panamá. This scenario occurs despite the fact that successful methods for malaria elimination were developed during the creation of the Panamá Canal. Today, most malaria cases in the República de Panam...

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Autores principales: Hurtado, Lisbeth Amarilis, Calzada, José E., Rigg, Chystrie A., Castillo, Milagros, Chaves, Luis Fernando
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5819664/
https://www.ncbi.nlm.nih.gov/pubmed/29463259
http://dx.doi.org/10.1186/s12936-018-2235-3
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author Hurtado, Lisbeth Amarilis
Calzada, José E.
Rigg, Chystrie A.
Castillo, Milagros
Chaves, Luis Fernando
author_facet Hurtado, Lisbeth Amarilis
Calzada, José E.
Rigg, Chystrie A.
Castillo, Milagros
Chaves, Luis Fernando
author_sort Hurtado, Lisbeth Amarilis
collection PubMed
description BACKGROUND: Malaria has historically been entrenched in indigenous populations of the República de Panamá. This scenario occurs despite the fact that successful methods for malaria elimination were developed during the creation of the Panamá Canal. Today, most malaria cases in the República de Panamá affect the Gunas, an indigenous group, which mainly live in autonomous regions of eastern Panamá. Over recent decades several malaria outbreaks have affected the Gunas, and one hypothesis is that such outbreaks could have been exacerbated by climate change, especially by anomalous weather patterns driven by the EL Niño Southern Oscillation (ENSO). RESULTS: Monthly malaria cases in Guna Yala (1998–2016) were autocorrelated up to 2 months of lag, likely reflecting parasite transmission cycles between humans and mosquitoes, and cyclically for periods of 4 months that might reflect relapses of Plasmodium vivax, the dominant malaria parasite transmitted in Panamá. Moreover, malaria case number was positively associated (P < 0.05) with rainfall (7 months of lag), and negatively with the El Niño 4 index (15 months of lag) and the Normalized Difference Vegetation Index, NDVI (8 months of lag), the sign and magnitude of these associations likely related to the impacts of weather patterns and vegetation on the ecology of Anopheles albimanus, the main malaria vector in Guna Yala. Interannual cycles, of approximately 4-year periods, in monthly malaria case numbers were associated with the El Niño 4 index, a climatic index associated with weather and vegetation dynamics in Guna Yala at seasonal and interannual time scales. CONCLUSION: The results showed that ENSO, rainfall and NDVI were associated with the number of malaria cases in Guna Yala during the study period. These results highlight the vulnerability of Guna populations to malaria, an infection sensitive to climate change, and call for further studies about weather impacts on malaria vector ecology, as well as the association of malaria vectors with Gunas paying attention to their socio-economic conditions of poverty and cultural differences as an ethnic minority. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12936-018-2235-3) contains supplementary material, which is available to authorized users.
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spelling pubmed-58196642018-02-26 Climatic fluctuations and malaria transmission dynamics, prior to elimination, in Guna Yala, República de Panamá Hurtado, Lisbeth Amarilis Calzada, José E. Rigg, Chystrie A. Castillo, Milagros Chaves, Luis Fernando Malar J Research BACKGROUND: Malaria has historically been entrenched in indigenous populations of the República de Panamá. This scenario occurs despite the fact that successful methods for malaria elimination were developed during the creation of the Panamá Canal. Today, most malaria cases in the República de Panamá affect the Gunas, an indigenous group, which mainly live in autonomous regions of eastern Panamá. Over recent decades several malaria outbreaks have affected the Gunas, and one hypothesis is that such outbreaks could have been exacerbated by climate change, especially by anomalous weather patterns driven by the EL Niño Southern Oscillation (ENSO). RESULTS: Monthly malaria cases in Guna Yala (1998–2016) were autocorrelated up to 2 months of lag, likely reflecting parasite transmission cycles between humans and mosquitoes, and cyclically for periods of 4 months that might reflect relapses of Plasmodium vivax, the dominant malaria parasite transmitted in Panamá. Moreover, malaria case number was positively associated (P < 0.05) with rainfall (7 months of lag), and negatively with the El Niño 4 index (15 months of lag) and the Normalized Difference Vegetation Index, NDVI (8 months of lag), the sign and magnitude of these associations likely related to the impacts of weather patterns and vegetation on the ecology of Anopheles albimanus, the main malaria vector in Guna Yala. Interannual cycles, of approximately 4-year periods, in monthly malaria case numbers were associated with the El Niño 4 index, a climatic index associated with weather and vegetation dynamics in Guna Yala at seasonal and interannual time scales. CONCLUSION: The results showed that ENSO, rainfall and NDVI were associated with the number of malaria cases in Guna Yala during the study period. These results highlight the vulnerability of Guna populations to malaria, an infection sensitive to climate change, and call for further studies about weather impacts on malaria vector ecology, as well as the association of malaria vectors with Gunas paying attention to their socio-economic conditions of poverty and cultural differences as an ethnic minority. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (10.1186/s12936-018-2235-3) contains supplementary material, which is available to authorized users. BioMed Central 2018-02-20 /pmc/articles/PMC5819664/ /pubmed/29463259 http://dx.doi.org/10.1186/s12936-018-2235-3 Text en © The Author(s) 2018 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
Hurtado, Lisbeth Amarilis
Calzada, José E.
Rigg, Chystrie A.
Castillo, Milagros
Chaves, Luis Fernando
Climatic fluctuations and malaria transmission dynamics, prior to elimination, in Guna Yala, República de Panamá
title Climatic fluctuations and malaria transmission dynamics, prior to elimination, in Guna Yala, República de Panamá
title_full Climatic fluctuations and malaria transmission dynamics, prior to elimination, in Guna Yala, República de Panamá
title_fullStr Climatic fluctuations and malaria transmission dynamics, prior to elimination, in Guna Yala, República de Panamá
title_full_unstemmed Climatic fluctuations and malaria transmission dynamics, prior to elimination, in Guna Yala, República de Panamá
title_short Climatic fluctuations and malaria transmission dynamics, prior to elimination, in Guna Yala, República de Panamá
title_sort climatic fluctuations and malaria transmission dynamics, prior to elimination, in guna yala, república de panamá
topic Research
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5819664/
https://www.ncbi.nlm.nih.gov/pubmed/29463259
http://dx.doi.org/10.1186/s12936-018-2235-3
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