RESOLVE-PCC - Heterogeneity, risk factors and causal drivers of long/post-COVID in large German population-based cohorts - towards personalised care - Machine learning for the identification of symptoms and risk factors based on health insurance data
- Funded by Federal Ministry of Research, Technology and Space (BMFTR)
- Total publications:0 publications
Grant number: 01EQ2409E
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Key facts
Disease
COVID-19Start & end year
20252026Known Financial Commitments (USD)
$143,731.69Funder
Federal Ministry of Research, Technology and Space (BMFTR)Principal Investigator
N/A
Research Location
GermanyLead Research Institution
Leibniz-Institut für Präventionsforschung und Epidemiologie - BIPS GmbHResearch Priority Alignment
N/A
Research Category
Clinical characterisation and management
Research Subcategory
Prognostic factors for disease severity
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
N/A