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Malaria transmission in landscapes with varying deforestation levels and timelines in the Amazon: a longitudinal spatiotemporal study

The relationship between deforestation and malaria is a spatiotemporal process of variation in Plasmodium incidence in human-dominated Amazonian rural environments. The present study aimed to assess the underlying mechanisms of malarial exposure risk at a fine scale in 5-km(2) sites across the Brazi...

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Autores principales: Laporta, Gabriel Z., Ilacqua, Roberto C., Bergo, Eduardo S., Chaves, Leonardo S. M., Rodovalho, Sheila R., Moresco, Gilberto G., Figueira, Elder A. G., Massad, Eduardo, de Oliveira, Tatiane M. P., Bickersmith, Sara A., Conn, Jan E., Sallum, Maria Anice M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7979798/
https://www.ncbi.nlm.nih.gov/pubmed/33742028
http://dx.doi.org/10.1038/s41598-021-85890-3
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author Laporta, Gabriel Z.
Ilacqua, Roberto C.
Bergo, Eduardo S.
Chaves, Leonardo S. M.
Rodovalho, Sheila R.
Moresco, Gilberto G.
Figueira, Elder A. G.
Massad, Eduardo
de Oliveira, Tatiane M. P.
Bickersmith, Sara A.
Conn, Jan E.
Sallum, Maria Anice M.
author_facet Laporta, Gabriel Z.
Ilacqua, Roberto C.
Bergo, Eduardo S.
Chaves, Leonardo S. M.
Rodovalho, Sheila R.
Moresco, Gilberto G.
Figueira, Elder A. G.
Massad, Eduardo
de Oliveira, Tatiane M. P.
Bickersmith, Sara A.
Conn, Jan E.
Sallum, Maria Anice M.
author_sort Laporta, Gabriel Z.
collection PubMed
description The relationship between deforestation and malaria is a spatiotemporal process of variation in Plasmodium incidence in human-dominated Amazonian rural environments. The present study aimed to assess the underlying mechanisms of malarial exposure risk at a fine scale in 5-km(2) sites across the Brazilian Amazon, using field-collected data with a longitudinal spatiotemporally structured approach. Anopheline mosquitoes were sampled from 80 sites to investigate the Plasmodium infection rate in mosquito communities and to estimate the malaria exposure risk in rural landscapes. The remaining amount of forest cover (accumulated deforestation) and the deforestation timeline were estimated in each site to represent the main parameters of both the frontier malaria hypothesis and an alternate scenario, the deforestation-malaria hypothesis, proposed herein. The maximum frequency of pathogenic sites occurred at the intermediate forest cover level (50% of accumulated deforestation) at two temporal deforestation peaks, e.g., 10 and 35 years after the beginning of the organization of a settlement. The incidence density of infected anophelines in sites where the original forest cover decreased by more than 50% in the first 25 years of settlement development was at least twice as high as the incidence density calculated for the other sites studied (adjusted incidence density ratio = 2.25; 95% CI, 1.38–3.68; p = 0.001). The results of this study support the frontier malaria as a unifying hypothesis for explaining malaria emergence and for designing specific control interventions in the Brazilian Amazon.
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spelling pubmed-79797982021-03-25 Malaria transmission in landscapes with varying deforestation levels and timelines in the Amazon: a longitudinal spatiotemporal study Laporta, Gabriel Z. Ilacqua, Roberto C. Bergo, Eduardo S. Chaves, Leonardo S. M. Rodovalho, Sheila R. Moresco, Gilberto G. Figueira, Elder A. G. Massad, Eduardo de Oliveira, Tatiane M. P. Bickersmith, Sara A. Conn, Jan E. Sallum, Maria Anice M. Sci Rep Article The relationship between deforestation and malaria is a spatiotemporal process of variation in Plasmodium incidence in human-dominated Amazonian rural environments. The present study aimed to assess the underlying mechanisms of malarial exposure risk at a fine scale in 5-km(2) sites across the Brazilian Amazon, using field-collected data with a longitudinal spatiotemporally structured approach. Anopheline mosquitoes were sampled from 80 sites to investigate the Plasmodium infection rate in mosquito communities and to estimate the malaria exposure risk in rural landscapes. The remaining amount of forest cover (accumulated deforestation) and the deforestation timeline were estimated in each site to represent the main parameters of both the frontier malaria hypothesis and an alternate scenario, the deforestation-malaria hypothesis, proposed herein. The maximum frequency of pathogenic sites occurred at the intermediate forest cover level (50% of accumulated deforestation) at two temporal deforestation peaks, e.g., 10 and 35 years after the beginning of the organization of a settlement. The incidence density of infected anophelines in sites where the original forest cover decreased by more than 50% in the first 25 years of settlement development was at least twice as high as the incidence density calculated for the other sites studied (adjusted incidence density ratio = 2.25; 95% CI, 1.38–3.68; p = 0.001). The results of this study support the frontier malaria as a unifying hypothesis for explaining malaria emergence and for designing specific control interventions in the Brazilian Amazon. Nature Publishing Group UK 2021-03-19 /pmc/articles/PMC7979798/ /pubmed/33742028 http://dx.doi.org/10.1038/s41598-021-85890-3 Text en © The Author(s) 2021 Open Access This 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/.
spellingShingle Article
Laporta, Gabriel Z.
Ilacqua, Roberto C.
Bergo, Eduardo S.
Chaves, Leonardo S. M.
Rodovalho, Sheila R.
Moresco, Gilberto G.
Figueira, Elder A. G.
Massad, Eduardo
de Oliveira, Tatiane M. P.
Bickersmith, Sara A.
Conn, Jan E.
Sallum, Maria Anice M.
Malaria transmission in landscapes with varying deforestation levels and timelines in the Amazon: a longitudinal spatiotemporal study
title Malaria transmission in landscapes with varying deforestation levels and timelines in the Amazon: a longitudinal spatiotemporal study
title_full Malaria transmission in landscapes with varying deforestation levels and timelines in the Amazon: a longitudinal spatiotemporal study
title_fullStr Malaria transmission in landscapes with varying deforestation levels and timelines in the Amazon: a longitudinal spatiotemporal study
title_full_unstemmed Malaria transmission in landscapes with varying deforestation levels and timelines in the Amazon: a longitudinal spatiotemporal study
title_short Malaria transmission in landscapes with varying deforestation levels and timelines in the Amazon: a longitudinal spatiotemporal study
title_sort malaria transmission in landscapes with varying deforestation levels and timelines in the amazon: a longitudinal spatiotemporal study
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7979798/
https://www.ncbi.nlm.nih.gov/pubmed/33742028
http://dx.doi.org/10.1038/s41598-021-85890-3
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