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Incidences of COVID-19 in major mining municipalities in the Brazilian Amazon: Economic impacts, risks and lessons

This paper provides an assessment of COVID-19 occurrences in the Brazilian Amazon, with special emphasis on municipalities where mining activity is prevalent. It does so with a view to exploring how mining may be influencing the spread of coronavirus, not only within municipalities where the sector...

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Autores principales: de Castro, Fernando Ferreira, Góes, Geraldo Sandoval, Sena do Nascimento, Jose Antonio, Tardin, Monica Monnerat
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier Ltd. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8648595/
https://www.ncbi.nlm.nih.gov/pubmed/34900609
http://dx.doi.org/10.1016/j.exis.2021.101033
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author de Castro, Fernando Ferreira
Góes, Geraldo Sandoval
Sena do Nascimento, Jose Antonio
Tardin, Monica Monnerat
author_facet de Castro, Fernando Ferreira
Góes, Geraldo Sandoval
Sena do Nascimento, Jose Antonio
Tardin, Monica Monnerat
author_sort de Castro, Fernando Ferreira
collection PubMed
description This paper provides an assessment of COVID-19 occurrences in the Brazilian Amazon, with special emphasis on municipalities where mining activity is prevalent. It does so with a view to exploring how mining may be influencing the spread of coronavirus, not only within municipalities where the sector is widespread but also other areas of the Amazon. The analysis draws on findings from qualitative research and case studies of selected mining municipalities in Brazil. The results were analyzed by population range, and cases reported from the onset of the pandemic were mapped and evaluated. It is revealed that: (1) within the 772 municipalities in the Amazon, incidence of COVID-19 is relatively higher in the 33 largest mining localities; (2) there have been a higher proportion of COVID-19 cases in the selected municipalities than in other municipalities which have a similar population range; and (3) between 2020 and the first quarter of 2021, among the Amazon's mining municipalities, those containing gold experienced the most significant growth as well as had highest rates of infection. Overall, the results suggest that in the Brazilian Amazon, COVID-19 has spread fastest in major mining municipalities. These results and continuation of this research will provide support for decision-makers and local governments.
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spelling pubmed-86485952021-12-07 Incidences of COVID-19 in major mining municipalities in the Brazilian Amazon: Economic impacts, risks and lessons de Castro, Fernando Ferreira Góes, Geraldo Sandoval Sena do Nascimento, Jose Antonio Tardin, Monica Monnerat Extr Ind Soc Original Article This paper provides an assessment of COVID-19 occurrences in the Brazilian Amazon, with special emphasis on municipalities where mining activity is prevalent. It does so with a view to exploring how mining may be influencing the spread of coronavirus, not only within municipalities where the sector is widespread but also other areas of the Amazon. The analysis draws on findings from qualitative research and case studies of selected mining municipalities in Brazil. The results were analyzed by population range, and cases reported from the onset of the pandemic were mapped and evaluated. It is revealed that: (1) within the 772 municipalities in the Amazon, incidence of COVID-19 is relatively higher in the 33 largest mining localities; (2) there have been a higher proportion of COVID-19 cases in the selected municipalities than in other municipalities which have a similar population range; and (3) between 2020 and the first quarter of 2021, among the Amazon's mining municipalities, those containing gold experienced the most significant growth as well as had highest rates of infection. Overall, the results suggest that in the Brazilian Amazon, COVID-19 has spread fastest in major mining municipalities. These results and continuation of this research will provide support for decision-makers and local governments. Elsevier Ltd. 2022-03 2021-12-07 /pmc/articles/PMC8648595/ /pubmed/34900609 http://dx.doi.org/10.1016/j.exis.2021.101033 Text en © 2021 Elsevier Ltd. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Original Article
de Castro, Fernando Ferreira
Góes, Geraldo Sandoval
Sena do Nascimento, Jose Antonio
Tardin, Monica Monnerat
Incidences of COVID-19 in major mining municipalities in the Brazilian Amazon: Economic impacts, risks and lessons
title Incidences of COVID-19 in major mining municipalities in the Brazilian Amazon: Economic impacts, risks and lessons
title_full Incidences of COVID-19 in major mining municipalities in the Brazilian Amazon: Economic impacts, risks and lessons
title_fullStr Incidences of COVID-19 in major mining municipalities in the Brazilian Amazon: Economic impacts, risks and lessons
title_full_unstemmed Incidences of COVID-19 in major mining municipalities in the Brazilian Amazon: Economic impacts, risks and lessons
title_short Incidences of COVID-19 in major mining municipalities in the Brazilian Amazon: Economic impacts, risks and lessons
title_sort incidences of covid-19 in major mining municipalities in the brazilian amazon: economic impacts, risks and lessons
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8648595/
https://www.ncbi.nlm.nih.gov/pubmed/34900609
http://dx.doi.org/10.1016/j.exis.2021.101033
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