The exposure risk to COVID-19 in most affected countries : a vulnerability assessment model

Cartaxo, Adriana Nascimento Santos; Barbosa, Francisco Iran Cartaxo; Bermejo, Paulo Henrique de Souza; Moreira, Marina Figueiredo; Prata, David Nadler

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dc.contributor.author	Cartaxo, Adriana Nascimento Santos	-
dc.contributor.author	Barbosa, Francisco Iran Cartaxo	-
dc.contributor.author	Bermejo, Paulo Henrique de Souza	-
dc.contributor.author	Moreira, Marina Figueiredo	-
dc.contributor.author	Prata, David Nadler	-
dc.date.accessioned	2021-03-18T23:13:56Z	-
dc.date.available	2021-03-18T23:13:56Z	-
dc.date.issued	2021-03-04	-
dc.identifier.citation	CARTAXO, Adriana Nascimento Santos et al. The exposure risk to COVID-19 in most affected countries: a vulnerability assessment model. PLoS ONE, v.16, n. 3, e0248075, 2021. DOI: https://doi.org/10.1371/journal.pone.0248075. Disponível em: https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0248075. Acesso em: 18 mar. 2021.	pt_BR
dc.identifier.uri	https://repositorio.unb.br/handle/10482/40261	-
dc.language.iso	Inglês	pt_BR
dc.publisher	PLoS ONE	pt_BR
dc.rights	Acesso Aberto	pt_BR
dc.title	The exposure risk to COVID-19 in most affected countries : a vulnerability assessment model	pt_BR
dc.type	Artigo	pt_BR
dc.subject.keyword	Covid-19	pt_BR
dc.subject.keyword	Índice de Vulnerabilidade a Doenças Infecciosas	pt_BR
dc.rights.license	© 2021 Cartaxo et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.	pt_BR
dc.identifier.doi	https://doi.org/10.1371/journal.pone.0248075	pt_BR
dc.description.abstract1	The world is facing the coronavirus pandemic (COVID-19), which began in China. By August 18, 2020, the United States, Brazil, and India were the most affected countries. Health infrastructure and socioeconomic vulnerabilities may be affecting the response capacities of these countries. We compared official indicators to identify which vulnerabilities better determined the exposure risk to COVID-19 in both the most and least affected countries. To achieve this purpose, we collected indicators from the Infectious Disease Vulnerability Index (IDVI), the World Health Organization (WHO), the World Bank, and the Brazilian Geography and Statistics Institute (IBGE). All indicators were normalized to facilitate comparisons. Speed, incidence, and population were used to identify the groups of countries with the highest and lowest risks of infection. Countries’ response capacities were determined based on socioeconomic, political, and health infrastructure conditions. Vulnerabilities were identified based on the indicator sensitivity. The highest-risk group included the U.S., Brazil, and India, whereas the lowest-risk group (with the largest population by continent) consisted of China, New Zealand, and Germany. The high-sensitivity cluster had 18 indicators (50% extra IDVI), such as merchandise trade, immunization, public services, maternal mortality, life expectancy at birth, hospital beds, GINI index, adolescent fertility, governance, political stability, transparency/corruption, industry, and water supply. The greatest vulnerability of the highest-risk group was related first to economic factors (merchandise trade), followed by public health (immunization), highlighting global dependence on Chinese trade, such as protective materials, equipment, and diagnostic tests. However, domestic political factors had more indicators, beginning with high sensitivity and followed by healthcare and economic conditions, which signified a lesser capacity to guide, coordinate, and supply the population with protective measures, such as social distancing.	pt_BR
dc.identifier.orcid	https://orcid.org/0000-0001-6518-6959	pt_BR
dc.identifier.orcid	https://orcid.org/0000-0002-1414-4000	pt_BR
dc.contributor.affiliation	Ministry of Health, Secretariat of Science Technology Innovation and Strategic Supplies in Health, General-Coordination of the Health Industrial Complex, Brasília, Federal District, Brazil	pt_BR
dc.contributor.affiliation	Brazil Health Surveillance Agency – ANVISA, Medical Equipment Office, Brasília, Federal District, Brazil	pt_BR
dc.contributor.affiliation	University of Brasilia, Department of Administration	pt_BR
dc.contributor.affiliation	University of Brasilia, Business School	pt_BR
dc.contributor.affiliation	Federal University of Tocantins, Institute of Regional Development, Department of Computation Modelling, Palmas, Tocantins, Brazil	pt_BR
dc.description.unidade	Faculdade de Economia, Administração, Contabilidade e Gestão de Políticas Públicas (FACE)	pt_BR
dc.description.ppg	Programa de Pós-Graduação em Administração	-
Collection(s) :	Artigos publicados em periódicos e afins UnB - Covid-19