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.

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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

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article

Analyzing COVID-19 progression with Markov multistage models: insights from a Korean cohort

Taesung Park, Frank Aimee Rodrigue Ndagijimana
Genomics & Informatics
COVID-19 epidemiological studies
article

Analyzing COVID-19 progression with Markov multistage models: insights from a Korean cohort

Taesung Park, Frank Aimee Rodrigue Ndagijimana
article en

Abstract

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.

Genomics & InformaticsVol. 23(1)
Seoul National University (KR), National University College (PR)
National Research Foundation of Korea
Good health and well-being
Openalex Percentile: Top 98%
COVID-19 epidemiological studies
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