Severity and geographical disparities of post-COVID-19 symptoms among the Vietnamese general population: a national evaluation

• Main Authors: Tran, Bach, Le Vu, Minh Ngoc, Le, Huong Thi, Nguyen, Tu Huu, Boyer, Laurent, Fond, Guillaume, Auquier, Pascal, Latkin, Carl A., Ho, Roger C. M., Ho, Cyrus S. H., Zhang, Melvyn Weibin
• Other Authors: Lee Kong Chian School of Medicine (LKCMedicine)
• Format: Article
• Language: English
• Published: 2023
• Subjects: Science::Medicine; COVID-19; Cross-Sectional Studies
• Online Access: https://hdl.handle.net/10356/169387
• Institution: Nanyang Technological University

Post-COVID-19 symptoms have become a significant global health concern. This study focused on assessing the prevalence, severity, and care preference of post-COVID-19 symptoms, as well as identifying determinants to inform evidence-based policy on post-COVID-19 in Vietnam. A national cross-sectional study was conducted in May 2022 among 12,361 recovered COVID-19 patients, providing the largest dataset on health status after COVID-19 in Vietnam. The study utilized ordered logistic, Poisson regression, Multilevel linear random-effects models, and Multilevel random effects ordered logistic model to identify factors associated with various aspects of post-COVID-19 conditions. Results showed that the average number of post-COVID-19 symptoms was approximately 3, with fatigue and headache being the most common symptoms. The number of post-COVID-19 symptoms varied by province, decreased with age, and was significantly correlated with the duration of infection. Age, infection period, underlying conditions, telehealth utilization, and geographical location were identified as significant determinants of post-COVID-19 symptoms. The study concluded that improving resource allocation and health-seeking behavior in underserved areas could help address differences in health outcomes and improve post-COVID-19 control in Vietnam.