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Talisman: Intelligent Algorithms for COVID-19 mitigation casting virtual safety nets to protect and empower the society

Grant number: unknown

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Key facts

  • Disease

    COVID-19

  • Start & end year

    2020

  • Funder

    Volkswagen Stiftung

  • Principal Investigator

    Dr and Dr and Dr Ayan Paul, Hyunju Kim, Christian Suharlim

  • Research Location

    Germany

  • Lead Research Institution

    Deutsches Elektronen-Synchrotron DESY

  • 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

This project addresses the questions of how macroscopic socio-economic metrics are amplified for individuals during a COVID-19 pandemic and what could be the mitigating strategies taking into account short-term immunity development and curated closures in a community. The aim is to obtain policy-making guidelines for optimal commercial activities in urban areas and to develop economic and healthcare support to rural areas that show elevated susceptibility to a COVID-19 pandemic. The key impact might be a significant reduction of the socio-economic and healthcare burden of COVID-19 pandemic by using datadriven methods to build curated mitigation and exit strategies tailored to local demographics.