Ontology highlight
ABSTRACT: Background
SARS-CoV-2 causes the new coronavirus disease (COVID-19) and it is weakening all health systems. Therefore, the most vulnerable populations are exposed to harmful consequences, such as illness and death. Thus, this study aims to estimate the temporal effect of COVID-19 dissemination on social indicators of the Northeastern region of Brazil.Methods
An ecological time-series study was developed with the following: diagnosed cases of COVID-19 in the largest inland cities of Northeast Brazil, Human Development Index (HDI), poverty incidence, and Gini coefficient. Cities with high HDI, poverty rate, and Gini presented a larger number of patients.Results
It was observed by evaluating case trends that COVID-19 spreads unevenly in inland cities of the Northeastern region of Brazil.Conclusions
In this sense, we emphasize that regional health managers should support small cities with vulnerable population and social assistance.
SUBMITTER: Costa de Assis SJ
PROVIDER: S-EPMC8270119 | biostudies-literature | 2021
REPOSITORIES: biostudies-literature
Costa de Assis Sanderson José SJ Lopes Johnnatas Mikael JM de Lima Filho Bartolomeu Fagundes BF José Bouzas Sanchis Geronimo G Sousa Rodrigues Guedes Thais T Limeira Cavalcanti Rafael R Araujo Diego Neves DN José Sarmento da Nóbrega Antonio A Barbosa Otoni Gonçalves Guedes Marcello M Giuseppe Roncalli da Costa Oliveira Angelo A
PloS one 20210709 7
<h4>Background</h4>SARS-CoV-2 causes the new coronavirus disease (COVID-19) and it is weakening all health systems. Therefore, the most vulnerable populations are exposed to harmful consequences, such as illness and death. Thus, this study aims to estimate the temporal effect of COVID-19 dissemination on social indicators of the Northeastern region of Brazil.<h4>Methods</h4>An ecological time-series study was developed with the following: diagnosed cases of COVID-19 in the largest inland cities ...[more]