tetano
Editor, Senior Moderator
PLoS One
. 2022 Sep 22;17(9):e0268169.
doi: 10.1371/journal.pone.0268169. eCollection 2022.
Epidemiological behavior of the COVID-19 contamination curve in Brazil: Time-series analysis
Thiffany Nayara Bento de Morais[SUP] 1 [/SUP], Ketyllem Tayanne da Silva Costa[SUP] 1 [/SUP], Gustavo Nepomuceno Capistrano[SUP] 1 [/SUP], Fábia Barbosa de Andrade[SUP] 1 [/SUP]
Affiliations
Abstract
Brazil is experiencing the greatest episode of sanitary collapse ever known in the country's history. Therefore, the relevance of this study is highlighted for the scientific advance of the epidemiological behavior of the virus in Brazil, enabling the development of analyses and discussions on the factors that influenced the high rates of contamination by SARS-CoV-2 in the country. Given the above, this study aims to analyze the epidemiological behavior of the COVID-19 contamination curve by epidemiological weeks (EW), in the years 2020-2021, in Brazil. This is an ecological study of time series, prepared using information collected through secondary means. The country of origin of the study is Brazil, and its main theme is the number of people infected during the COVID-19 pandemic, this being the dependent variable of the study. The data has been analyzed from February 23, 2020, when the first case was confirmed in Brazil, to January 1, 2022. In 2021, the country's graph shows an exponential growth, reaching a peak of approximately 250 new cases per 100,000 inhabitants in the 12th EW. This data represents the highest rate of the pandemic in Brazil, and did not vary significantly for the next twelve weeks. Thus, it was identified that Brazil was severely impacted by the new coronavirus, considering the high rates of confirmed cases of the virus in the country, the low adherence of the population to preventive measures, the late start of mass vaccination in the Brazilian population, and the lack of structure in the health system, which was not appropriately prepared for the high demand generated by COVID-19.
. 2022 Sep 22;17(9):e0268169.
doi: 10.1371/journal.pone.0268169. eCollection 2022.
Epidemiological behavior of the COVID-19 contamination curve in Brazil: Time-series analysis
Thiffany Nayara Bento de Morais[SUP] 1 [/SUP], Ketyllem Tayanne da Silva Costa[SUP] 1 [/SUP], Gustavo Nepomuceno Capistrano[SUP] 1 [/SUP], Fábia Barbosa de Andrade[SUP] 1 [/SUP]
Affiliations
- PMID: 36136969
- DOI: 10.1371/journal.pone.0268169
Abstract
Brazil is experiencing the greatest episode of sanitary collapse ever known in the country's history. Therefore, the relevance of this study is highlighted for the scientific advance of the epidemiological behavior of the virus in Brazil, enabling the development of analyses and discussions on the factors that influenced the high rates of contamination by SARS-CoV-2 in the country. Given the above, this study aims to analyze the epidemiological behavior of the COVID-19 contamination curve by epidemiological weeks (EW), in the years 2020-2021, in Brazil. This is an ecological study of time series, prepared using information collected through secondary means. The country of origin of the study is Brazil, and its main theme is the number of people infected during the COVID-19 pandemic, this being the dependent variable of the study. The data has been analyzed from February 23, 2020, when the first case was confirmed in Brazil, to January 1, 2022. In 2021, the country's graph shows an exponential growth, reaching a peak of approximately 250 new cases per 100,000 inhabitants in the 12th EW. This data represents the highest rate of the pandemic in Brazil, and did not vary significantly for the next twelve weeks. Thus, it was identified that Brazil was severely impacted by the new coronavirus, considering the high rates of confirmed cases of the virus in the country, the low adherence of the population to preventive measures, the late start of mass vaccination in the Brazilian population, and the lack of structure in the health system, which was not appropriately prepared for the high demand generated by COVID-19.