journal.pone.0248075.pdf 2,46MB
1000 Titel
  • The exposure risk to COVID-19 in most affected countries: A vulnerability assessment model
1000 Autor/in
  1. Cartaxo, Adriana |
  2. Barbosa, Francisco Iran Cartaxo |
  3. de Souza Bermejo, Paulo Henrique |
  4. Moreira, Marina Figueiredo |
1000 Erscheinungsjahr 2021
1000 Publikationstyp
  1. Artikel |
1000 Online veröffentlicht
  • 2021-03-04
1000 Erschienen in
1000 Quellenangabe
  • 16(3):e0248075
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • |
1000 Ergänzendes Material
  • |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • 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.
1000 Sacherschließung
gnd 1206347392 COVID-19
lokal Brazil
lokal India
lokal Medical risk factors
lokal Political aspects of health
lokal Socioeconomic aspects of health
lokal Fertility rates
lokal Pandemics
1000 Fächerklassifikation (DDC)
1000 Liste der Beteiligten
1000 Label
1000 Förderer
  1. Ministério da Saúde |
1000 Fördernummer
  1. TED 43/2019
1000 Förderprogramm
  1. Decentralized Execution Term
1000 Dateien
1000 Förderung
  1. 1000 joinedFunding-child
    1000 Förderer Ministério da Saúde |
    1000 Förderprogramm Decentralized Execution Term
    1000 Fördernummer TED 43/2019
1000 Objektart article
1000 Beschrieben durch
1000 @id frl:6425964.rdf
1000 Erstellt am 2021-03-05T09:17:26.784+0100
1000 Erstellt von 122
1000 beschreibt frl:6425964
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1000 Vgl. frl:6425964
1000 Oai Id
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1000 Sichtbarkeit Metadaten public
1000 Sichtbarkeit Daten public
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