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Development of a predictive model for clinical complications in patients with Covid-19 infection based on the presence of chronic morbidities

Grant number: unknown

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Key facts

  • Disease

    COVID-19

  • Start & end year

    N/A

  • Funder

    FAPEG Brazil

  • Principal Investigator

    Sandro Rogério Rodrigues Batista

  • Research Location

    Brazil

  • Lead Research Institution

    State Health Secretariat

  • Research Priority Alignment

    N/A

  • Research Category

    Clinical characterisation and management

  • Research Subcategory

    Prognostic factors for disease severity

  • Special Interest Tags

    N/A

  • Study Type

    Clinical

  • Clinical Trial Details

    Not applicable

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Unspecified

Abstract

A study seeks to develop a predictive model of clinical outcomes (hospitalization, need for ICU and death) in patients diagnosed with Covid-19 based on the presence of chronic morbidities and their forms of grouping. The research is led by Sandro Rogério Rodrigues Batista, from the State Health Secretariat.