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arXiv · 2608.04919

Statistical Considerations in Long COVID Research

Andrea S. Foulkes·Tanayott Thaweethai·Harrison T. Reeder
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Abstract

Long COVID is a condition characterized by ongoing or relapsing symptoms attributable to SARS-CoV-2 infection that are present three or more months after infection. It represents a major clinical and public health concern as an estimated 5-10\% of individuals with a history of SARS-CoV-2 infection present with long term sequelae that range from mild to debilitating with profound impacts on quality of life. Clinical research studies of Long COVID have emerged rapidly over the past few years, and with them we are seeing several new data analytic challenges. In this manuscript, we highlight statistical challenges arising from the defining features of LC and associated study design strategies. This work is motivated by the Researching COVID to Enhance Recovery (RECOVER) Adult and Pediatric observational meta-cohort studies.

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Andrea S. Foulkes, Tanayott Thaweethai, Harrison T. Reeder. 2026-08-05. Statistical Considerations in Long COVID Research. https://arxiv.org/abs/2608.04919

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