On multifactorial drivers for malaria rebound in Brazil: a spatio-temporal analysis

Abstract Background Malaria incidence in Brazil reversed its decreasing trend when cases from recent years, as recent as 2015, exhibited an increase in the Brazilian Amazon basin, the area with the highest transmission of Plasmodium vivax and Plasmodium falciparum. In fact, an increase of more than...

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Published in:Malaria Journal
Main Authors: Mario J. C. Ayala, Leonardo S. Bastos, Daniel A. M. Villela
Format: Article in Journal/Newspaper
Language:English
Published: BMC 2022
Subjects:
Online Access:https://doi.org/10.1186/s12936-021-04037-x
https://doaj.org/article/8c0a904cfb44494baa68859f51e2b922
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spelling ftdoajarticles:oai:doaj.org/article:8c0a904cfb44494baa68859f51e2b922 2023-05-15T15:18:38+02:00 On multifactorial drivers for malaria rebound in Brazil: a spatio-temporal analysis Mario J. C. Ayala Leonardo S. Bastos Daniel A. M. Villela 2022-02-01T00:00:00Z https://doi.org/10.1186/s12936-021-04037-x https://doaj.org/article/8c0a904cfb44494baa68859f51e2b922 EN eng BMC https://doi.org/10.1186/s12936-021-04037-x https://doaj.org/toc/1475-2875 doi:10.1186/s12936-021-04037-x 1475-2875 https://doaj.org/article/8c0a904cfb44494baa68859f51e2b922 Malaria Journal, Vol 21, Iss 1, Pp 1-10 (2022) Plasmodium vivax Plasmodium falciparum Malaria rebound Spatio-temporal Bayesian model Arctic medicine. Tropical medicine RC955-962 Infectious and parasitic diseases RC109-216 article 2022 ftdoajarticles https://doi.org/10.1186/s12936-021-04037-x 2022-12-31T14:42:31Z Abstract Background Malaria incidence in Brazil reversed its decreasing trend when cases from recent years, as recent as 2015, exhibited an increase in the Brazilian Amazon basin, the area with the highest transmission of Plasmodium vivax and Plasmodium falciparum. In fact, an increase of more than 20% in the years 2016 and 2017 revealed possible vulnerabilities in the national malaria-control programme. Methods Factors potentially associated with this reversal, including migration, economic activities, and deforestation, were studied. Past incidences of malaria cases due to P. vivax and P. falciparum were analysed with a spatio-temporal Bayesian model using more than 5 million individual records of malaria cases from January of 2003 to December of 2018 in the Brazilian Amazon to establish the municipalities with unexpected increases in cases. Results Plasmodium vivax incidence surpassed the past trends in Amazonas (AM), Amapá (AP), Acre (AC), Pará (PA), Roraima (RR), and Rondônia (RO), implying a rebound of these states between 2015 and 2018. On the other hand, P. falciparum also surpassed the past trends in AM, AC, AP, and RR with less severity than P. vivax incidence. Outdoor activities, agricultural activities, accumulated deforestation, and travelling might explain the rebound in malaria cases in RR, AM, PA, and RO, mainly in P. vivax cases. These variables, however, did not explain the rebound of either P. vivax and P. falciparum cases in AC and AP states or P. falciparum cases in RR and RO states. Conclusion The Amazon basin has experienced an unexpected increase in malaria cases, mainly in P. vivax cases, in some regions of the states of Amazonas, Acre, Pará, Amapá, Roraima, and Rondônia from 2015 to 2018 and agricultural activities, outdoor activities, travelling activities, and accumulated deforestation appear linked to this rebound of cases in particular regions with different impact. This shows the multifactorial effects and the heterogeneity of the Amazon basin, boosting the necessity of focusing ... Article in Journal/Newspaper Arctic Directory of Open Access Journals: DOAJ Articles Arctic Malaria Journal 21 1
institution Open Polar
collection Directory of Open Access Journals: DOAJ Articles
op_collection_id ftdoajarticles
language English
topic Plasmodium vivax
Plasmodium falciparum
Malaria rebound
Spatio-temporal Bayesian model
Arctic medicine. Tropical medicine
RC955-962
Infectious and parasitic diseases
RC109-216
spellingShingle Plasmodium vivax
Plasmodium falciparum
Malaria rebound
Spatio-temporal Bayesian model
Arctic medicine. Tropical medicine
RC955-962
Infectious and parasitic diseases
RC109-216
Mario J. C. Ayala
Leonardo S. Bastos
Daniel A. M. Villela
On multifactorial drivers for malaria rebound in Brazil: a spatio-temporal analysis
topic_facet Plasmodium vivax
Plasmodium falciparum
Malaria rebound
Spatio-temporal Bayesian model
Arctic medicine. Tropical medicine
RC955-962
Infectious and parasitic diseases
RC109-216
description Abstract Background Malaria incidence in Brazil reversed its decreasing trend when cases from recent years, as recent as 2015, exhibited an increase in the Brazilian Amazon basin, the area with the highest transmission of Plasmodium vivax and Plasmodium falciparum. In fact, an increase of more than 20% in the years 2016 and 2017 revealed possible vulnerabilities in the national malaria-control programme. Methods Factors potentially associated with this reversal, including migration, economic activities, and deforestation, were studied. Past incidences of malaria cases due to P. vivax and P. falciparum were analysed with a spatio-temporal Bayesian model using more than 5 million individual records of malaria cases from January of 2003 to December of 2018 in the Brazilian Amazon to establish the municipalities with unexpected increases in cases. Results Plasmodium vivax incidence surpassed the past trends in Amazonas (AM), Amapá (AP), Acre (AC), Pará (PA), Roraima (RR), and Rondônia (RO), implying a rebound of these states between 2015 and 2018. On the other hand, P. falciparum also surpassed the past trends in AM, AC, AP, and RR with less severity than P. vivax incidence. Outdoor activities, agricultural activities, accumulated deforestation, and travelling might explain the rebound in malaria cases in RR, AM, PA, and RO, mainly in P. vivax cases. These variables, however, did not explain the rebound of either P. vivax and P. falciparum cases in AC and AP states or P. falciparum cases in RR and RO states. Conclusion The Amazon basin has experienced an unexpected increase in malaria cases, mainly in P. vivax cases, in some regions of the states of Amazonas, Acre, Pará, Amapá, Roraima, and Rondônia from 2015 to 2018 and agricultural activities, outdoor activities, travelling activities, and accumulated deforestation appear linked to this rebound of cases in particular regions with different impact. This shows the multifactorial effects and the heterogeneity of the Amazon basin, boosting the necessity of focusing ...
format Article in Journal/Newspaper
author Mario J. C. Ayala
Leonardo S. Bastos
Daniel A. M. Villela
author_facet Mario J. C. Ayala
Leonardo S. Bastos
Daniel A. M. Villela
author_sort Mario J. C. Ayala
title On multifactorial drivers for malaria rebound in Brazil: a spatio-temporal analysis
title_short On multifactorial drivers for malaria rebound in Brazil: a spatio-temporal analysis
title_full On multifactorial drivers for malaria rebound in Brazil: a spatio-temporal analysis
title_fullStr On multifactorial drivers for malaria rebound in Brazil: a spatio-temporal analysis
title_full_unstemmed On multifactorial drivers for malaria rebound in Brazil: a spatio-temporal analysis
title_sort on multifactorial drivers for malaria rebound in brazil: a spatio-temporal analysis
publisher BMC
publishDate 2022
url https://doi.org/10.1186/s12936-021-04037-x
https://doaj.org/article/8c0a904cfb44494baa68859f51e2b922
geographic Arctic
geographic_facet Arctic
genre Arctic
genre_facet Arctic
op_source Malaria Journal, Vol 21, Iss 1, Pp 1-10 (2022)
op_relation https://doi.org/10.1186/s12936-021-04037-x
https://doaj.org/toc/1475-2875
doi:10.1186/s12936-021-04037-x
1475-2875
https://doaj.org/article/8c0a904cfb44494baa68859f51e2b922
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container_title Malaria Journal
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