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Harnessing mathematical modelling and machine learning approaches to guide and optimize clinical and public health strategies

  • Funded by Botnar Research Centre for Child Health
  • Total publications:0 publications

Grant number: unknown

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Key facts

  • Disease

    COVID-19

  • start year

    -99

  • Known Financial Commitments (USD)

    $0

  • Funder

    Botnar Research Centre for Child Health

  • Principal Investigator

    Melissa Penny

  • Research Location

    Switzerland

  • Lead Research Institution

    Swiss Tropical and Public Health Institute

  • Research Priority Alignment

    N/A

  • Research Category

    Epidemiological studies

  • Research Subcategory

    Impact/ effectiveness of control measures

  • 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

The project led by Professor Melissa Penny (Swiss TPH) seeks to harness mathematical modelling and machine learning approaches to guide and optimize clinical and public health strategies for diagnostics, therapeutic interventions, disease surveillance and management in the emergency response to the COVID-19 pandemic.