Yewen Chen

Yewen Chen

he/him

Multidimensional Disparities in Comorbidity–Associated Risk of Long COVID: Evidence from a U.S. National Cohort (2020–2024)

We designed a retrospective cohort study examining LC development using the National COVID Cohort Collaborative (N3C) database (N = 5,707,643) between 2020 and 2024, along with County Health Rankings and Roadmaps, the Social Vulnerability Index, and Rural–Urban Continuum Codes data sources. Employing counterfactual estimation methods based on double/debiased machine learning, we compared the Adjusted Attributable Risks (aARs) and Relative Risks (aRRs) of 14 common comorbidities among different health disparities for LC.

Figure 2: The adjusted attributable risks (aARs; %) of each preexisting comorbidity on the development of LC across census regions, along with their 95% confidence intervals (CI).
Figure 2: The temporal trend of adjusted attributable risks (aARs), along with their 95% confidence intervals (CI).

Recommended citation: Chen Y, Chen Z, Ge Y, ..., Shen Y*. (2026). "Multidimensional Disparities in Comorbidity–Associated Risk of Long COVID: Evidence from a U.S. National Cohort (2020–2024)." To submit.