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
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Key facts
Disease
COVID-19Start & end year
N/AKnown Financial Commitments (USD)
$54,000Funder
Luxembourg National Research FundPrincipal Investigator
Jorge GonçalvesResearch Location
LuxembourgLead Research Institution
University of LuxembourgResearch Priority Alignment
N/A
Research Category
Epidemiological studiesResearch Subcategory
Impact/ effectiveness of control measuresSpecial Interest Tags
N/AStudy Type
Non-ClinicalClinical Trial Details
N/ABroad Policy Alignment
PendingAge Group
Not ApplicableVulnerable Population
Not applicableOccupations 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.