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Unaí Tupinambás

Federal University of Minas Gerais (UFMG) - Department of Internal Medicine

Brazil

SCHOLARLY PAPERS

2

DOWNLOADS

123

TOTAL CITATIONS

0

Scholarly Papers (2)

1.

COVID-19 in Amazonia, Brazil: How Will We Eradicate Severe Cases of COVID-19?

Number of pages: 7 Posted: 23 May 2022
Instituto Nacional de Pesquisas da Amazônia (INPA) - Programa de Biologia (Ecologia), Federal University of Minas Gerais (UFMG) - Computational Mathematics Program, Federal University of Minas Gerais (UFMG) - Department of Mathematics, Instituto Nacional de Pesquisas da Amazônia (INPA) - Departament of Environmental Dynamics, Universidade Federal de São João del-Rei (UFSJ) - DEFIM, Federal University of Amazonas (UFAM) - Department of Statistics, Cell Biology Laboratory of the Instituto Butantan, Instituto Nacional de Pesquisas da Amazônia (INPA) - Departament of Environmental Dynamics and Federal University of Minas Gerais (UFMG) - Department of Internal Medicine
Downloads 91 (736,406)

Abstract:

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COVID-19, herd immunity, Omicron BA.2, vaccines effectiveness

2.

Comparison between the Characteristics and Outcomes of Patients Hospitalized for Covid-19 in Three Waves of the Pandemic: A Retrospective Analysis

Number of pages: 24 Posted: 13 Sep 2024
affiliation not provided to SSRN, affiliation not provided to SSRN, Hospital Nossa Senhora da Conceição, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Hospital SOS Cárdio, affiliation not provided to SSRN, affiliation not provided to SSRN, Hospital Mãe de Deus, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Federal University of Minas Gerais (UFMG) - Department of Internal Medicine and Federal University of Minas Gerais (UFMG) - Department of Internal Medicine
Downloads 32 (1,290,922)

Abstract:

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COVID-19, SARS-CoV-2 variants, pandemic, mortality, patient outcome assessment