ArticleFrontiers in medicine2024
Understanding long COVID: prevalence, characteristics, and risk factors in the Eastern Province of Saudi Arabia.
Article in Frontiers in medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Determinants and Consequences of Long Impact of COVID-19: A National Cross-Sectional Study in Saudi Arabia.Journal of clinical medicine · 2026Article
- Long-term symptoms after SARS-CoV-2 infection in a cohort of healthcare workers in Qatar.BMC infectious diseases · 2025Article
- Impact of Long COVID on Health-Related Quality of Life Among COVID-19 Survivors in Saudi Arabia.Healthcare (Basel, Switzerland) · 2025Article
- Long-term outcomes of post-acute sequelae of SARS-CoV-2 infection: a cohort study protocol.Frontiers in public health · 2025Article
- Study on the impact of COVID-19 epidemic and agent disease risk simulation model based on individual factors in Xi'an City.Frontiers in cellular and infection microbiology · 2025Article
- Deep learning analysis of long COVID and vaccine impact in low- and middle-income countries (LMICs): development of a risk calculator in a multicentric study.Frontiers in public health · 2025Observational
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Authors and funding
7 authors.
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Abstract
Background: The COVID-19 pandemic has significantly raised public health concerns and efforts to limit its spread, impacting societies and health systems worldwide. As challenges persist, the emergence of Long COVID (LC) marks a turning point in understanding the pandemic's long-term effects. Aim: This study aimed to determine the prevalence of LC in the Eastern Province of the Kingdom of Saudi Arabia (KSA) and explore factors contributing to its persistence. Methods: This descriptive, cross-sectional, questionnaire-based study was carried out between December 1, 2023, and March 1, 2024, involving 1,355 patients who recovered from COVID-19. Participants were conveniently chosen and information was gathered through in-person interviews in public settings after obtaining consent. Results: A majority of the patients ( Conclusion: Sociodemographic and clinical factors contribute differently to the chances of having LC and the count of symptoms. Awareness of such factors could provide insight into improving management, leading to better health outcomes.
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