Short, Mid-term And Exit Strategies Predictions Of The Covid-19 Epidemic In Luxembourg

  • Funded by Luxembourg National Research Fund
  • Total publications:0 publications

Grant number: unknown

Grant search

Key facts

  • Disease

    COVID-19
  • Known Financial Commitments (USD)

    $54,000
  • Funder

    Luxembourg National Research Fund
  • Principal Investigator

    Jorge Gonçalves
  • Research Location

    Luxembourg
  • Lead Research Institution

    University of Luxembourg
  • 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

    Not Applicable

  • Vulnerable Population

    Not applicable

  • Occupations of Interest

    Not applicable

Abstract

This project aims to develop mathematical models and predictions of the Covid-19 epidemic in Luxembourg to aid the Luxembourg COVID-19 Task Force in advising the Government. The predictions include the most important parameters to make informed decisions: newly infected, hospital ICU occupancy, use of ventilators and deaths. It will focus on three main categories. First, it considers short-term predictions on a daily basis. Second, it develops models for mid-term exit strategies projections considering the specific Luxembourgish circumstances including demographic, geographic and economic data. Third, build both short and mid-term models for other European countries and translate this information to Luxembourgish models. This will include neighbouring regions to Luxembourg to predict the effects of returning cross border commuters. Key findings will be regularly reported to the Luxembourgish Government.