Brazil’s vulnerability to COVID-19 quantified by a spatial metric

• An easy-to-apply index that can support decision-makers to identify the most vulnerable regions to COVID-19. • The impact of the lack of resources in the country-side to fight SARS-CoV-2 can be assuaged by shielding selected regions. • IndCo can support countries to prepare the reopening process w...

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Detalles Bibliográficos
Autores principales: Almeida, Dayana, Pinheiro, Lincoln B.L.G., Moschini, Luiz E., Bogaert, Jan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2020
Materias:
Letter to the Editor
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7301792/
https://www.ncbi.nlm.nih.gov/pubmed/34173566
http://dx.doi.org/10.1016/j.puhip.2020.100022
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author Almeida, Dayana
Pinheiro, Lincoln B.L.G.
Moschini, Luiz E.
Bogaert, Jan
author_facet Almeida, Dayana
Pinheiro, Lincoln B.L.G.
Moschini, Luiz E.
Bogaert, Jan
author_sort Almeida, Dayana
collection PubMed
description • An easy-to-apply index that can support decision-makers to identify the most vulnerable regions to COVID-19. • The impact of the lack of resources in the country-side to fight SARS-CoV-2 can be assuaged by shielding selected regions. • IndCo can support countries to prepare the reopening process while controlling COVID-19 in their regions.
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spelling pubmed-73017922020-06-18 Brazil’s vulnerability to COVID-19 quantified by a spatial metric Almeida, Dayana Pinheiro, Lincoln B.L.G. Moschini, Luiz E. Bogaert, Jan Public Health Pract (Oxf) Letter to the Editor • An easy-to-apply index that can support decision-makers to identify the most vulnerable regions to COVID-19. • The impact of the lack of resources in the country-side to fight SARS-CoV-2 can be assuaged by shielding selected regions. • IndCo can support countries to prepare the reopening process while controlling COVID-19 in their regions. Elsevier 2020-06-18 /pmc/articles/PMC7301792/ /pubmed/34173566 http://dx.doi.org/10.1016/j.puhip.2020.100022 Text en © 2020 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Letter to the Editor
Almeida, Dayana
Pinheiro, Lincoln B.L.G.
Moschini, Luiz E.
Bogaert, Jan
Brazil’s vulnerability to COVID-19 quantified by a spatial metric
title Brazil’s vulnerability to COVID-19 quantified by a spatial metric
title_full Brazil’s vulnerability to COVID-19 quantified by a spatial metric
title_fullStr Brazil’s vulnerability to COVID-19 quantified by a spatial metric
title_full_unstemmed Brazil’s vulnerability to COVID-19 quantified by a spatial metric
title_short Brazil’s vulnerability to COVID-19 quantified by a spatial metric
title_sort brazil’s vulnerability to covid-19 quantified by a spatial metric
topic Letter to the Editor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7301792/
https://www.ncbi.nlm.nih.gov/pubmed/34173566
http://dx.doi.org/10.1016/j.puhip.2020.100022
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