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Epidemic Curve of Contamination in a Hospital That Served as Sentinel of the Spread of the SARS-Cov-2 Epidemic in the City of Rio de Janeiro
Marisa Santos; Tereza Fellipe Guimaraes; Helena Cramer Rey; Fabiana Mucillo; Adriana Carvalho; Izabella Bezerra; Raiana Barbosa; Tais Hanae Kasai Brunswick; Glauber Monteiro Dias; Aurora Issa; Antonio Carlos Campos de Carvalho.
Affiliation
  • Marisa Santos; Instituto Nacional de Cardiologia
  • Tereza Fellipe Guimaraes; Instituto Nacional de Cardiologia
  • Helena Cramer Rey; Instituto Nacional de Cardiologia
  • Fabiana Mucillo; Instituto Nacional de Cardiologia
  • Adriana Carvalho; Instituto Nacional de Cardiologia
  • Izabella Bezerra; Instituto de Biofisica Carlos Chagas Filho UFRJ
  • Raiana Barbosa; Instituto de Biofisica Carlos Chagas Filho UFRJ
  • Tais Hanae Kasai Brunswick; Centro Nacional de Biologia Estrutural e Bioimagem/ CENABIO-UFRJ
  • Glauber Monteiro Dias; Instituto Nacional de Cardiologia
  • Aurora Issa; Instituto Nacional de Cardiologia
  • Antonio Carlos Campos de Carvalho; Instituto de Biofisica Carlos Chagas Filho UFRJ
Preprint in English | medRxiv | ID: ppmedrxiv-20215079
ABSTRACT
The COVID-19 pandemic had a profound impact on the operation of Brazilian hospital units, even those dedicated to non-infectious diseases. This study aims to describe the Covid-19 epidemic curve from a cardiovascular specialized nosocomial unit. All symptomatic employees were submitted to RT-qPCR. A total of 613 tests were performed on 548 employees between March 23, 2020, and June 4, 2020; with 45.7% positivity from the samples, representing 11.9% of the total employees. The epidemic curve showed a profound drop after first week of May. The data showed a high contamination rate despite widespread availability of personal protective equipment and employees training.
License
cc_by_nc_nd
Full text: Available Collection: Preprints Database: medRxiv Language: English Year: 2020 Document type: Preprint
Full text: Available Collection: Preprints Database: medRxiv Language: English Year: 2020 Document type: Preprint
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