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This paper is in the following e-collection/theme issue:

Infectious Diseases (non-STD/STI) (1770) Epidemiology (217) Surveillance Systems (525) Cross-Sectional Studies in Public Health (486) Theme Issue: Novel Coronavirus (COVID-19) Outbreak Rapid Reports (1547) JMIR Theme Issue: COVID-19 Special Issue (2571) Theme Issue: Human Factors of the COVID-19 Outbreak (76) Early Results from COVID-19 Studies (372)

Published on in Vol 10 (2024)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/55697, first published .
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Associations Between Acute COVID-19 Symptom Profiles and Long COVID Prevalence: Population-Based Cross-Sectional Study

Associations Between Acute COVID-19 Symptom Profiles and Long COVID Prevalence: Population-Based Cross-Sectional Study

Authors of this article:

Jana L Hirschtick1, 2 Author Orcid Image ;   Elizabeth Slocum1 Author Orcid Image ;   Yanmei Xie1 Author Orcid Image ;   Laura E Power1 Author Orcid Image ;   Michael R Elliott3, 4 Author Orcid Image ;   Robert C Orellana5, 6 Author Orcid Image ;   Nancy L Fleischer1 Author Orcid Image
Article Authors Cited by (4) Tweetations (91) Metrics

Journals

  1. Ozanic K, Watanabe A, Machado A, da Silva V, Dias V, Diniz C. Long COVID: General Perceptions and Challenges in Diagnosis and Management. COVID 2025;5(3):41 View
  2. Darabi A, Hayati M, Tahmasebi R, Farhadi Bajouli M, Keshavarzi E, Ghasemi Zadeh M, Asadi A, Hashemi M, Saeed Firoozabadi M, Keshavarz M, Vahdat K. An Investigation in to the Respiratory, Gastrointestinal, and Neurological Symp-toms Associated with Long COVID in Out-patients and Inpatients in Bushehr Prov-ince. South Medical Journal 2025;28(1):524 View
  3. Pawlicka A, Wężyk K, Słowik A, Bosak K, Bosak M. COVID-19 among patients with epilepsy: Clinical characteristics and outcomes in a large single-center cohort. Epilepsy Research 2026;225:107813 View

Conference Proceedings

  1. Kalvala S, B B. 2025 IEEE 1st International Conference on Smart Innovations in Systems, Infrastructure, Mechanical, Power, AI and Computing Technologies (SISIMPACT). Validation of Predictive Framework for Post-COVID Risk Assessment: Integration of Explainable AI for Interpretable Healthcare Decision Support View