About: Epidemiological and clinical characteristics of the early phase of the COVID-19 epidemic in Brazil

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About: Epidemiological and clinical characteristics of the early phase of the COVID-19 epidemic in Brazil Goto Sponge NotDistinct Permalink

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

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type	Academic Article research paper schema:ScholarlyArticle
isDefinedBy	Covid-on-the-Web dataset
has title	Epidemiological and clinical characteristics of the early phase of the COVID-19 epidemic in Brazil
Creator	Li, Guangdi Gutierrez, Bernardo Zarebski, Alexander Kraemer, Moritz Li, Sabrina Pybus, Oliver Wu, Chieh-Hsi Rodrigues Faria, Nuno Brady, Oliver Marciel De Souza, William Mayaud, Philippe Dphil, Gouveia, Nelson Macário, Eduardo Croda, Julio Ganem, Fabiana Barbosa De Oliveira, Silvano Abade, Leandro Alexander, Neal Andrade, Santos Aruska, Andreza Bertollo, Victor Buss, Lewis Candido, Silva Carrera, Jean-Paul Cristina Da, Flavia Da, Darlan Dos, Pamela Ferreira De Almeida, Walquiria Fontana, Francieli Ghilardi, Fabio Henrique, Rafael Kleber De Oliveira, Wanderson Marcilio De Souza, Izabel Messina, Janey Nascimento, Heloiz Pereira, Moraes Porto, Gomes Prete, Carlos Sabino, Ester Sales, Silva Santana Aguiar, Renato Santos, Souza Tami, Adriana Tardetti, Sutile Vincenti-Gonzalez, Maria
Source	MedRxiv
abstract	Background: The first case of COVID-19 was detected in Brazil on February 25, 2020. We report the epidemiological, demographic, and clinical findings for confirmed COVID-19 cases during the first month of the epidemic in Brazil. Methods: Individual-level and aggregated COVID-19 data were analysed to investigate demographic profiles, socioeconomic drivers and age-sex structure of COVID-19 tested cases. Basic reproduction numbers (R0) were investigated for Sao Paulo and Rio de Janeiro. Multivariate logistic regression analyses were used to identify symptoms associated with confirmed cases and risk factors associated with hospitalization. Laboratory diagnosis for eight respiratory viruses were obtained for 2,429 cases. Findings: By March 25, 1,468 confirmed cases were notified in Brazil, of whom 10% (147 of 1,468) were hospitalised. Of the cases acquired locally (77.8%), two thirds (66.9% of 5,746) were confirmed in private laboratories. Overall, positive association between higher per capita income and COVID-19 diagnosis was identified. The median age of detected cases was 39 years (IQR 30-53). The median R0 was 2.9 for Sao Paulo and Rio de Janeiro. Cardiovascular disease/hypertension were associated with hospitalization. Co-circulation of six respiratory viruses, including influenza A and B and human rhinovirus was detected in low levels. Interpretation: Socioeconomic disparity determines access to SARS-CoV-2 testing in Brazil. The lower median age of infection and hospitalization compared to other countries is expected due to a younger population structure. Enhanced surveillance of respiratory pathogens across socioeconomic statuses is essential to better understand and halt SARS-CoV-2 transmission.
has issue date	2020-04-29(xsd:dateTime)
bibo:doi	10.1101/2020.04.25.20077396
has license	medrxiv
sha1sum (hex)	f788670155076432a587bfa60cc1c3e0cf087e5a
schema:url	https://doi.org/10.1101/2020.04.25.20077396
resource representing a document's title	Epidemiological and clinical characteristics of the early phase of the COVID-19 epidemic in Brazil
resource representing a document's body	covid:f788670155076432a587bfa60cc1c3e0cf087e5a#body_text
is schema:about of	named entity 'Surveillance' named entity 'Secretariat of Health' named entity 'Brasília' named entity 'Brazilian Ministry of Health' named entity 'Rio de Janeiro' named entity 'Brazil' named entity 'nausea' named entity 'epidemiological' named entity 'higher risk' named entity 'data interpretation' named entity 'RT-PCR' named entity 'Brazil' named entity 'comorbidities' named entity 'Brazil' named entity 'paediatric' named entity 'missing at random' named entity 'São Paulo' named entity 'exponential growth model' named entity 'odds ratios' named entity 'universal access' named entity 'epidemic' named entity 'influenza' named entity 'nasal flaring' named entity 'medRxiv' named entity 'Brazil' named entity 'CC-BY-NC 4.0' named entity 'socioeconomic' named entity 'binary variable' named entity 'epidemic' named entity 'São Paulo' named entity 'retrospective study' named entity 'cardiovascular disease' named entity 'medRxiv' named entity 'influenza' named entity 'medRxiv' named entity 'Brazil' named entity 'multicollinearity' named entity 'influenza' named entity 'medRxiv' named entity 'COVID'

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