journal.pone.0247794.pdf 2,03MB
1000 Titel
  • Spatial analysis of COVID-19 incidence and the sociodemographic context in Brazil
1000 Autor/in
  1. Raymundo, Carlos Eduardo |
  2. Oliveira, Marcella Cini |
  3. Eleuterio, Tatiana de Araujo |
  4. André, Suzana Rosa |
  5. da Silva, Marcele Gonçalves |
  6. Queiroz, Eny Regina da Silva |
  7. Medronho, Roberto de Andrade |
1000 Erscheinungsjahr 2021
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  1. Artikel |
1000 Online veröffentlicht
  • 2021-03-01
1000 Erschienen in
1000 Quellenangabe
  • 16(3):e0247794
1000 Copyrightjahr
  • 2021
1000 Lizenz
1000 Verlagsversion
  • |
1000 Publikationsstatus
1000 Begutachtungsstatus
1000 Sprache der Publikation
1000 Abstract/Summary
  • BACKGROUND: Identified in December 2019 in the city of Wuhan, China, the outbreak of COVID-19 spread throughout the world and its impacts affect different populations differently, where countries with high levels of social and economic inequality such as Brazil gain prominence, for understanding of the vulnerability factors associated with the disease. Given this scenario, in the absence of a vaccine or safe and effective antiviral treatment for COVID-19, nonpharmacological measures are essential for prevention and control of the disease. However, many of these measures are not feasible for millions of individuals who live in territories with increased social vulnerability. The study aims to analyze the spatial distribution of COVID-19 incidence in Brazil’s municipalities (counties) and investigate its association with sociodemographic determinants to better understand the social context and the epidemic’s spread in the country. METHODS: This is an analytical ecological study using data from various sources. The study period was February 25 to September 26, 2020. Data analysis used global regression models: ordinary least squares (OLS), spatial autoregressive model (SAR), and conditional autoregressive model (CAR) and the local regression model called multiscale geographically weighted regression (MGWR). FINDINGS: The higher the GINI index, the higher the incidence of the disease at the municipal level. Likewise, the higher the nurse ratio per 1,000 inhabitants in the municipalities, the higher the COVID-19 incidence. Meanwhile, the proportional mortality ratio was inversely associated with incidence of the disease. DISCUSSION: Social inequality increased the risk of COVID-19 in the municipalities. Better social development of the municipalities was associated with lower risk of the disease. Greater access to health services improved the diagnosis and notification of the disease and was associated with more cases in the municipalities. Despite universal susceptibility to COVID-19, populations with increased social vulnerability were more exposed to risk of the illness.
1000 Sacherschließung
lokal Epidemiology
gnd 1206347392 COVID-19
lokal Brazil
lokal Health systems strenghening
lokal Health informatics
lokal Allied health care professionals
lokal Socioeconomic aspects of health
lokal Health care
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