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-19Start & end year
20202022Known Financial Commitments (USD)
$164,832.89Funder
National Health and Medical Research Council (NHMRC)Principal Investigator
N/A
Research Location
AustraliaLead Research Institution
UNSW SydneyResearch 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.