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Cross-sectional surveillance study of long COVID in Toyonaka city, Osaka prefecture, Japan.
- Source :
-
Journal of Infection & Chemotherapy (Elsevier Inc.) . Jun2024, Vol. 30 Issue 6, p511-515. 5p. - Publication Year :
- 2024
-
Abstract
- As the COVID-19 epidemic continues, concerns about long-term health impacts, specifically long COVID, persist. While the prevalence and symptomatology of long COVID have been explored in various global contexts, large-scale cohort studies in Japan remain limited, especially after the advent of the Omicron variant. In this observational study, 4,047 residents with a history of COVID-19 living in Toyonaka City, Osaka Prefecture, were assessed for long COVID symptoms using the VOICE mobile application and a paper survey. Respondents provided demographic and health information, as well as information regarding COVID-19 infection and subsequent symptoms. A Cox proportional hazard regression model was used to estimate the multivariable-adjusted hazard ratios and 95 % confidence intervals for overall morbidity of long COVID symptoms. The survey found that 5.2 % of participants reported the persistence of one or more symptoms at 30 days post-onset. Fatigue was the most commonly reported symptom (1.75 %), followed by hair loss (1.41 %), and cough (1.28 %). Factors associated with an increased risk of experiencing long COVID symptoms included BMI, severe illness during the acute phase, and infection with certain COVID-19 variant strains, including Alpha, Delta, and Omicron. However, the incidence rate of long COVID appears to be decreasing with the dominance of the Omicron variant. This large-scale study from Toyonaka City suggests a 5.2 % prevalence rate for persistent COVID-19 symptoms 4 weeks post-infection, potentially indicating a lower prevalence of long COVID in Japanese populations after the rise of the Omicron variant. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 1341321X
- Volume :
- 30
- Issue :
- 6
- Database :
- Academic Search Index
- Journal :
- Journal of Infection & Chemotherapy (Elsevier Inc.)
- Publication Type :
- Academic Journal
- Accession number :
- 176648397
- Full Text :
- https://doi.org/10.1016/j.jiac.2023.12.006