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RESOLVE-PCC - Heterogeneity, risk factors and causal drivers of long/post-COVID in large German population-based cohorts - towards personalised care - Counterfactual machine learning to identify causal factors for long/post-COVID symptoms

  • Funded by Federal Ministry of Research, Technology and Space (BMFTR)
  • Total publications:0 publications

Grant number: 01EQ2409D

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Key facts

  • Disease

    COVID-19

  • Start & end year

    2025
    2026

  • Known Financial Commitments (USD)

    $152,097.72

  • Funder

    Federal Ministry of Research, Technology and Space (BMFTR)

  • Principal Investigator

    N/A

  • Research Location

    Germany

  • Lead Research Institution

    Georg-August-Universität Göttingen

  • Research Priority Alignment

    N/A

  • Research Category

    Clinical characterisation and management

  • Research Subcategory

    Prognostic factors for disease severity

  • Special Interest Tags

    N/A

  • Study Type

    Unspecified

  • 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