Communications medicineMar 31, 2026

Disability from Long COVID in US Adults

Long Covid Weekly Brief ↗PubMed ↗DOI ↗OA ↗

Updated Jun 27, 2026

Abstract

Essence

Long COVID appears to carry a US adult disability burden comparable to Alzheimer’s disease and asthma while receiving less NIH funding than its burden would suggest.

Evidence

This population-based burden and funding analysis estimated Long COVID from Census Bureau survey prevalence and Global Burden of Disease disability weights, then compared FY2022-2024 NIH funding across 68 conditions.

Caveat

The analysis depends on survey-derived prevalence, assigned disability weights, and funding-to-YLD comparisons, which can show mismatch but not determine the optimal funding level for any condition.

Simplified

BACKGROUND: Five years since the scientific and patient communities first identified the syndrome now known as Long COVID, affected individuals lack treatments, and the US lacks population-based data on its disability burden and correlation with National Institutes of Health (NIH) funding. Moreover, akin to other debilitating conditions it often co-occurs with, e.g., Myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS) and dysautonomia, Long COVID disproportionately impacts females whose concerns are often marginalized.

METHODS: We quantify Long COVID (YLDs= prevalence x disability weight) in US adults and its actual/YLD-commensurate average annual NIH FY2022-2024 funding versus 68 comparator conditions, by sex predominance. We derive Long COVID prevalence from Census Bureau surveys (9/2022-8/2023) and apply disability weights from the Global Burden of Disease Study.

RESULTS: Long COVID YLDs approximate those of Alzheimer's and Asthma. Long COVID received 14% of its disability commensurate funding: $106 million vs. $739.8 million. ME/CFS is the most under-funded condition, receiving <1% of its YLD proportionate funding. Among conditions analyzed, 24 are female-predominant (we estimate Long COVID funding two ways), 12 male-predominant, and 33 show no sex predominance. Among the 12 below-median funded/above-median YLD conditions, 7/12 are female-predominant, none are male-predominant. Median funding/per YLD is 5.2 times higher for male- vs. female-predominant conditions (7.0 vs 1.3 million per YLD, p = 0.007). Overall, YLDs explain 6.5% of funding variance in a linear regression model using YLD as the sole predictor (Adjusted R-squared: 0.065).

CONCLUSIONS: With chronic conditions like Long COVID rising, disability burden merits greater consideration in funding decisions, as does biological sex.