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A novel text mining and data linkage approach to investigate the mental health needs of the population during the COVID-19 period

  • Funded by National Health and Medical Research Council (NHMRC)
  • Total publications:0 publications

Grant number: GA129717

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Key facts

  • Disease

    COVID-19

  • Start & end year

    2020
    2022

  • Known Financial Commitments (USD)

    $164,832.89

  • Funder

    National Health and Medical Research Council (NHMRC)

  • Research Location

    Australia

  • Lead Research Institution

    UNSW Sydney

  • Research Priority Alignment

    N/A

  • Research Category

    Secondary impacts of disease, response & control measures

  • Research Subcategory

    Indirect health impacts

  • Special Interest Tags

    N/A

  • Study Type

    Non-Clinical

  • Clinical Trial Details

    N/A

  • Broad Policy Alignment

    Pending

  • Age Group

    Unspecified

  • Vulnerable Population

    Unspecified

  • Occupations of Interest

    Unspecified

Abstract

The impact of COVID-19 is expected to affect individuals with increases in mental illness, suicide, and self-harm events. The police are often the first to respond to these events, and their records contain valuable information that has not been used for mental health reporting purposes. This project will use a novel automated method to process police records of the last four years and investigate whether there have been any increases in mental illnesses before and during the COVID-19 crisis.