Version 1
: Received: 12 August 2020 / Approved: 17 August 2020 / Online: 17 August 2020 (11:42:07 CEST)
How to cite:
Pessoa, G.E.; Steinke, V.A. 60 Years in 100 Days: How COVID-19 Exposes the Lethality of Social Inequality. Preprints2020, 2020080364. https://doi.org/10.20944/preprints202008.0364.v1
Pessoa, G.E.; Steinke, V.A. 60 Years in 100 Days: How COVID-19 Exposes the Lethality of Social Inequality. Preprints 2020, 2020080364. https://doi.org/10.20944/preprints202008.0364.v1
Pessoa, G.E.; Steinke, V.A. 60 Years in 100 Days: How COVID-19 Exposes the Lethality of Social Inequality. Preprints2020, 2020080364. https://doi.org/10.20944/preprints202008.0364.v1
APA Style
Pessoa, G.E., & Steinke, V.A. (2020). 60 Years in 100 Days: How COVID-19 Exposes the Lethality of Social Inequality. Preprints. https://doi.org/10.20944/preprints202008.0364.v1
Chicago/Turabian Style
Pessoa, G.E. and Valdir Adilson Steinke. 2020 "60 Years in 100 Days: How COVID-19 Exposes the Lethality of Social Inequality" Preprints. https://doi.org/10.20944/preprints202008.0364.v1
Abstract
The pandemic outbreak of COVID-19 had begun in March of 2020 on a global scale. This outbreak has originated numerous questions for society and many challenges for public managers. The disease is worrying because it has a high propagation velocity, high lethality levels, and there is no cure. Some groups are considered more vulnerable due to pre-existing disease conditions, age-range, and living conditions. In Latin American countries, people live in different conditions than those who live in countries located in the North hemisphere, such as climatic conditions, less favorable socioeconomic conditions, different educational levels, inequality, precarious urban infrastructure, etc. These factors generate even more concern and uncertainty about the pandemic than in developed countries. This study aimed, although preliminarily, to identify areas of great socio-spatial vulnerability and susceptibility of infection of people over 60 years old of COVID-19 in Brasília, Brazil. In this research, publicly available data and information about the population characteristics and social aspects were used, all connected directly to the census sectors. With the support of Geographic Information System (GIS), a matrix was used to cross-check the data and, thereby, achieve the objective of identifying the most vulnerable sectors for people aged over 60 years old. The results point out to more than 400 census sectors classified as Extremely Vulnerable in Brasília and it should be the object of special attention for public managers to do specific health care actions.
Keywords
coronavirus; urban socio-spatial vulnerability; health inequity; pandemic outbreak
Subject
Social Sciences, Geography, Planning and Development
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
