Prevalence of Post–COVID-19 Condition and Activity-Limiting Post–COVID-19 Condition Among Adults

This cross-sectional study examines the prevalence of ever and current post–COVID-19 condition (long COVID) and self-reported limitations of activity due to symptoms of post–COVID-19 condition among US adults.

Authors

Institutions

Publication Details

Journal
JAMA Network Open
Published
2024-12-13
DOI
https://doi.org/10.1001/jamanetworkopen.2024.51151
Citations
20
Primary Topic
Long-Term Effects of COVID-19
Type
article
Field-Weighted Citation Impact
7.38
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Prevalence of Post–COVID-19 Condition and Activity-Limiting Post–COVID-19 Condition Among Adults

Sharon Saydah, Anjel Vahratian, Elizabeth R. Unger, Jeanne Bertolli et al.
20 citations
JAMA Network Open
Long-Term Effects of COVID-19
7.38
article

Prevalence of Post–COVID-19 Condition and Activity-Limiting Post–COVID-19 Condition Among Adults

Sharon Saydah, Anjel Vahratian, Elizabeth R. Unger, Jeanne Bertolli, Christopher J. Gregory
article en
20 citations

Abstract

This cross-sectional study examines the prevalence of ever and current post–COVID-19 condition (long COVID) and self-reported limitations of activity due to symptoms of post–COVID-19 condition among US adults.

JAMA Network OpenVol. 7(12)
Centers for Disease Control and Prevention (US), National Center for Health Statistics (US), National Center for Immunization and Respiratory Diseases (US), National Center for Emerging and Zoonotic Infectious Diseases (US)
Openalex Percentile: Top 2%
Long-Term Effects of COVID-19
7.38
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.