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COVID-19 epidemic in Brazil: Where are we at?
- Source :
- International Journal of Infectious Diseases, International Journal of Infectious Diseases, Vol 97, Iss, Pp 382-385 (2020), Repositório Institucional da UnB, Universidade de Brasília (UnB), instacron:UNB
- Publication Year :
- 2020
- Publisher :
- Elsevier BV, 2020.
-
Abstract
- Highlights • Brazil registered 177,589 cases of COVID-19 between March 11 and May 12, 2020. • All of Federative Units in Brazil shows a upward in accumulated cases of COVID-19. • The highest increment were find in the North, Northeast and Southeast regions. • Each Federative Unit in Brazil is at a different stage of the COVID-19 pandemic.<br />Objetive to analyze the trends of COVID-19 in Brazil in 2020 by Federal Units (FU). Method ecological time-series based on cumulative confirmed cases of COVID-19 from March 11 to May 12. Joinpoint regression models were applied to identify points of inflection in COVID-19 trends, considering the days since the 50th confirmed case as time unit. Results Brazil reached the 50th confirmed case of COVID-19 in 11 March 2020 and, 63 days after that, on May 12, 177,589 cases had been confirmed. The trends for all regions and FU are upward. In the last segment, from the 31st to the 63rd day, Brazil presented a DPC of 7.3% (95%CI= 7.2;7.5). For the country the ADPC was 14.2% (95%CI: 13.8;14.5). The highest ADPC values were found in the North, Northeast and Southeast regions. Conclusions In summary, our results show that all FUs in Brazil present upward trends of COVID-19. In some FUs, the slowdown in DPC in the last segment must be considered carefully. Each FUs is at a different stage of the pandemic and, therefore, non-pharmacological measures must be applied accordingly.
- Subjects :
- 0301 basic medicine
Microbiology (medical)
2019-20 coronavirus outbreak
Joinpoint
Joinpoint regression
Coronavirus disease 2019 (COVID-19)
Epidemiology
Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2)
Pneumonia, Viral
030106 microbiology
Article
lcsh:Infectious and parasitic diseases
Betacoronavirus
03 medical and health sciences
0302 clinical medicine
Humans
lcsh:RC109-216
Covid-19 - Brasil
Epidemias
030212 general & internal medicine
Pandemics
Análise de séries temporais
Models, Statistical
SARS-CoV-2
Times series
COVID-19
Regression analysis
General Medicine
Geography
Infectious Diseases
Regression Analysis
Coronavirus Infections
Brazil
Demography
Subjects
Details
- Language :
- English
- ISSN :
- 12019712
- Database :
- OpenAIRE
- Journal :
- International Journal of Infectious Diseases
- Accession number :
- edsair.doi.dedup.....e01e928c47da7c922344142ba61e7fb1
- Full Text :
- https://doi.org/10.1016/j.ijid.2020.06.044