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PRESIDE - FORECAST MODELS FOR SECURING SERVICES OF GENERAL INTEREST

Grant number: unknown

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Key facts

  • Disease

    COVID-19

  • Start & end year

    2020
    2020

  • Known Financial Commitments (USD)

    $41,561.49

  • Funder

    WWTF Austria

  • Principal Investigator

    Fazel Ansari

  • Research Location

    Austria

  • Lead Research Institution

    Institute for Management Science at the Vienna University of Technology

  • Research Priority Alignment

    N/A

  • Research Category

    Secondary impacts of disease, response & control measures

  • Research Subcategory

    Other secondary 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 aim of the project is to determine at an early stage whether and to what extent supply bottlenecks for services of general interest in the food sector may arise due to measures to combat the coronavirus (e.g. border closings). The result is a validated data pool based on information from Austrian food wholesalers. SPAR, HOFER, REWE and others provide relevant data on procurement strategies and the logistics chain from the original source to the customer. Missing data can be collected through surveys (e.g. sensor technology), expert interviews or random samples. This data pool is created as a basis for and in close cooperation with experts for forecast and optimization models.