Cited by 538Long-Term Effects of COVID-19COVID-19 Clinical Research StudiesSARS-CoV-2 and COVID-19 Research

Long COVID science, research and policy

Al-Aly, Ziyad, Davis, Hannah, McCorkell, Lisa, Soares, Letícia, Wulf-Hanson, Sarah, Iwasaki, Akiko, Topol, Eric J.·2024·Nature Medicine

Abstract

Long COVID represents the constellation of post-acute and long-term health effects caused by SARS-CoV-2 infection; it is a complex, multisystem disorder that can affect nearly every organ system and can be severely disabling. The cumulative global incidence of long COVID is around 400 million individuals, which is estimated to have an annual economic impact of approximately $1 trillion-equivalent to about 1% of the global economy. Several mechanistic pathways are implicated in long COVID, including viral persistence, immune dysregulation, mitochondrial dysfunction, complement dysregulation, endothelial inflammation and microbiome dysbiosis. Long COVID can have devastating impacts on individual lives and, due to its complexity and prevalence, it also has major ramifications for health systems and economies, even threatening progress toward achieving the Sustainable Development Goals. Addressing the challenge of long COVID requires an ambitious and coordinated-but so far absent-global research and policy response strategy. In this interdisciplinary review, we provide a synthesis of the state of scientific evidence on long COVID, assess the impacts of long COVID on human health, health systems, the economy and global health metrics, and provide a forward-looking research and policy roadmap.

Integrity signals

Registry

Crossref · 10.1038/s41591-024-03173-6

Cites

14 of 14 references verified0 citation errors · 0 not checkable

Statistics

Recomputing p-values needs the paper’s full text.

Claims the paper makes

We couldn’t retrieve this paper’s full text, so its claims and self-check weren’t run. The registry and citation checks still apply.

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

Cites

1 retracted

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Al-Aly, Z., Davis, H., McCorkell, L., Soares, L., Wulf-Hanson, S., Iwasaki, A., & Topol, E. J.
Affiliations
  • Patient-Led Research Collaborative (US)
  • Howard Hughes Medical Institute (US)
  • Scripps Research Institute (US)
Venue
Nature Medicine
Published
2024-08
Volume
30
Issue
8
Pages
2148-2164
ISSN
  • 1078-8956 (ISSN-L)
  • 1546-170X
OpenAlex
W4401461906
Cited by
538
References
14
Citations by year
2026: 226 · 2025: 259 · 2024: 53
FWCI
36.96
Type
journal article
Language
en
Open access
closed
Locations
  • Nature Medicine (publishedVersion)
  • PubMed (publishedVersion)
Topics
  • Health Sciences › Medicine › Neurology › Long-Term Effects of COVID-19
  • Health Sciences › Medicine › Infectious Diseases › COVID-19 Clinical Research Studies
  • Health Sciences › Medicine › Infectious Diseases › SARS-CoV-2 and COVID-19 Research
Keywords
long COVID, viral persistence, immune dysregulation, mitochondrial dysfunction, complement dysregulation, endothelial inflammation, dysbiosis, health system burden, global health policy, research roadmap
MeSH terms
COVID-19, SARS-CoV-2, Post-Acute COVID-19 Syndrome, Health Policy, Humans, Global Health, Biomedical Research

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review