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COVID-19 outbreak prediction and assessment of prevention policies: a data science approach

  • Funded by Qatar National Research Fund
  • Total publications:1 publications

Grant number: RRC-2-104

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Key facts

  • Disease

    COVID-19

  • Start & end year

    N/A

  • Known Financial Commitments (USD)

    $0

  • Funder

    Qatar National Research Fund

  • Principal Investigator

    Abdelkarim Erradi

  • Research Location

    Qatar

  • Lead Research Institution

    Qatar University

  • Research Priority Alignment

    N/A

  • Research Category

    Epidemiological studies

  • Research Subcategory

    Disease transmission dynamics

  • Special Interest Tags

    N/A

  • Study Type

    Unspecified

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

1 Publication linked via Europe PMC

Last Updated:4 days ago

View all publications at Europe PMC

Predicting COVID-19 cases using bidirectional LSTM on multivariate time series.