About: COVID-19 epidemic in Brazil: where we at?

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An Entity of Type : schema:ScholarlyArticle, within Data Space : wasabi.inria.fr associated with source document(s)

Attributes	Values
type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
title	COVID-19 epidemic in Brazil: where we at?
Creator	Macário, Eduardo João, ; Araújo De França, Vinícius Bremm, Matheus César, Augusto De França, Araújo De Oliveira, Klébler De, Andréa Giovanny, ; João, Pinheiro Klébler De Oliveira, Wanderson Lobo, Paula Marli, ; Marli, Cardoso-Dos-Santos Marques, Eduardo Pinheiro, Sobrino Rejane, ; Rocha, Souza Sobrino, Rejane Vinícius, Giovanny Wanderson, Macário
source	Elsevier; Medline; PMC; WHO
abstract	Abstract 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.
has issue date	2020-06-16(xsd:dateTime)
bibo:doi	10.1016/j.ijid.2020.06.044
bibo:pmid	32561425
has license	els-covid
sha1sum (hex)	9d63820db7e670ec9bccc477b43670cbd4d26aa5
schema:url	https://doi.org/10.1016/j.ijid.2020.06.044
resource representing a document's title	COVID-19 epidemic in Brazil: where we at?
has PubMed Central identifier	PMC7297148
has PubMed identifier	32561425
schema:publication	Int J Infect Dis
resource representing a document's body	covid:9d63820db7e670ec9bccc477b43670cbd4d26aa5#body_text
is schema:about of	named entity 'COVID-19' named entity 'FEDERAL' named entity 'WHERE' named entity 'BRAZIL' named entity 'Brazil' named entity 'Brazil' named entity 'Federative Unit' named entity '8.1' named entity 'Sergipe' named entity 'Goiás' named entity 'COVID-19' named entity 'Brazil' named entity 'Rio Grande' named entity 'Rondônia' named entity 'ADPC' named entity 'Amazonas' named entity 'Federative Units' named entity 'Mato Grosso' named entity 'human development indices' named entity 'Pará' named entity 'COVID-19' named entity 'epidemic' named entity 'Tocantins' named entity 'Southeast region' named entity '7.2' named entity 'Distrito Federal' named entity 'not-for-profit' named entity '13.8' named entity 'Mato Grosso' named entity 'Paraná' named entity 'Brazil' named entity 'São Paulo' named entity 'epidemic' named entity 'COVID-19 pandemic' named entity 'Pernambuco' named entity 'epidemiological' named entity 'COVID-19 epidemic' named entity 'Brazil' named entity 'COVID-19 epidemic' covid:arg/9d63820db7e670ec9bccc477b43670cbd4d26aa5 named entity 'UNITS' named entity 'COVID-19' named entity 'epidemic' named entity 'COVID-19' named entity 'Journal' named entity 'Units' named entity 'COVID-19' named entity 'COVID-19' named entity 'epidemic' named entity 'BRAZIL' named entity 'TRENDS' named entity 'JOURNAL ' named entity 'COVID-19 EPIDEMIC' named entity 'PROOF' named entity 'PRE' nodeID://b58170186
is wasQuotedFrom of	covid:arg/9d63820db7e670ec9bccc477b43670cbd4d26aa5/0 covid:arg/9d63820db7e670ec9bccc477b43670cbd4d26aa5/1
is part of of	covid:9d63820db7e670ec9bccc477b43670cbd4d26aa5#body_text Abstract 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. COVID-19 epidemic in Brazil: where we at?

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