Nineteen Percent of Asymptomatic COVID-19 Patients Develop Long-Haul COVID

Jun 15, 2021 at 10:19 am by Staff


Nineteen percent of COVID-19 patients without symptoms went on to exhibit at least one of the post-COVID conditions known as long-haul COVID 30 days or more after their initial COVID-19 diagnosis.1 This is among the findings in FAIR Health's new white paper, the eighth of its COVID-19 studies, A Detailed Study of Patients with Long-Haul COVID: An Analysis of Private Healthcare Claims. The report uses FAIR Health's repository of private healthcare claims data to study 1,959,982 COVID-19 patients--the largest population of COVID-19 patients ever studied for long-haul COVID--over the period from February 2020 to February 2021.

Although many patients recover from COVID-19 within a few weeks, some exhibit persistent or new symptoms more than four weeks after first being diagnosed. Names for such post-COVID conditions include not only long-haul COVID but long COVID, post-COVID syndrome or post-acute sequelae of COVID-19 or of SARS-CoV-2 (PASC).

Findings about long-haul COVID reported in FAIR Health's white paper include:

FAIR Health President Robin Gelburd stated: "Even as the COVID-19 pandemic wanes, long-haul COVID persists as a public health issue affecting many Americans. The findings in our new study shed significant light on this emerging issue for all individuals who have long-haul COVID, as well as for policy makers, providers, payors and researchers."

This is the eighth in a series of studies released by FAIR Health on the COVID-19 pandemic. The first study examined projected US costs for COVID-19 patients requiring inpatient stays, the second the impact of the pandemic on hospitals and health systems, the third the impact on healthcare professionals, the fourth key characteristics of COVID-19 patients, the fifth the impact on the dental industry, the sixth risk factors for COVID-19 mortality and the seventh the impact on pediatric mental health.

For the new white paper, click here.

Follow us on Twitter @FAIRHealth

Sections: COVID