Analyzing COVID-19 progression with Markov multistage models: insights from a Korean cohort
This study highlights the utility of continuous-time Markov multistate models in assessing COVID-19 severity progression among hospitalized patients. The findings indicate that patients are more likely to recover than to experience worsening conditions. However, hypertension and diabetes significantly increase the risk of severe outcomes, underscoring the importance of managing these conditions in COVID-19 patients.
Authors
- Taesung Park (ORCID: https://orcid.org/0000-0002-8294-590X)
- Frank Aimee Rodrigue Ndagijimana
Institutions
- Seoul National University (KR)
- National University College (PR)
Publication Details
- Journal
- Genomics & Informatics
- Published
- 2025-01-27
- DOI
- https://doi.org/10.1186/s44342-024-00035-y
- Primary Topic
- COVID-19 epidemiological studies
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- National Research Foundation of Korea