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Optimized for epidemic management due to testing and quarantine strategy - case COVID-19

Grant number: 336641

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Key facts

  • Disease

    COVID-19

  • Start & end year

    2020
    2021

  • Known Financial Commitments (USD)

    $4,956

  • Funder

    Academy of Finland

  • Principal Investigator

    Unspecified Lauri Neuvonen

  • Research Location

    Finland

  • Lead Research Institution

    International Institute for Applied Systems Analysis

  • Research Priority Alignment

    N/A

  • Research Category

    Epidemiological studies

  • Research Subcategory

    Impact/ effectiveness of control measures

  • 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

This project seeks to find resource-efficient testing and quarantine strategies for epidemic management through multi-objective optimization. The work combines optimization with simulation of epidemics in order to be able to model the effects of decisions on the spread of the disease. As an example, we are investigating the ongoing COVID-19 epidemic and are working to minimize both the deaths caused by the epidemic and the economic impact of the epidemic and its management measures.