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)Research Location
GermanyLead Research Institution
Leibniz-Institut für Präventionsforschung und Epidemiologie - BIPS GmbHResearch Priority Alignment
N/A
Research Category
Clinical characterisation and managementResearch Subcategory
Prognostic factors for disease severitySpecial 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
N/A