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Epidemiological Factors Associated with COVID-19 Clusters in Medical and Social Welfare Facilities
Tadatsugu Imamura1,2, Yura K Ko3,4, Yuki Furuse5
1Japan International Cooperation Agency, Japan.
Insights
COVID-19 clusters in Japanese medical and social welfare facilities occurred later than the general population peak. Cluster size correlated with duration, but facility type influenced early case detection timing.
Area of Science:
- Epidemiology
- Infectious Diseases
- Public Health
Background:
- Understanding COVID-19 transmission dynamics in healthcare and social welfare settings is crucial.
- Previous studies have not fully elucidated factors influencing COVID-19 cluster size in these facilities.
Purpose of the Study:
- To analyze the characteristics of COVID-19 clusters in Japanese medical and social welfare facilities.
- To identify factors associated with the size of these COVID-19 clusters.
Main Methods:
- Retrospective review of COVID-19 cases in Japan between January 15 and April 30, 2020.
- Analysis of cluster data from 56 medical and 34 social welfare facilities.
- Statistical correlation analysis to determine factors associated with cluster size.
Main Results:
- COVID-19 cluster peaks in facilities occurred after the general population peak.
- Cluster duration positively correlated with the number of cases in both facility types.
- Time from prefecture's first case to cluster onset negatively correlated with cluster size in social welfare facilities only.
Conclusions:
- COVID-19 cases in medical and social welfare facilities were prevalent during later stages of community transmission.
- The mechanisms driving these trends may differ between medical and social welfare settings.
- Facility-specific strategies are needed to mitigate COVID-19 spread.
Abstract:
The characteristics of coronavirus disease 2019 (COVID-19) clusters in medical and social welfare facilities and the factors associated with cluster size are still not yet fully understood. We reviewed COVID-19 cases in Japan identified from January 15 to April 30, 2020 and analyzed the factors associated with cluster size in medical and social welfare facilities. In this study, COVID-19 clusters were identified in 56 medical and 34 social welfare facilities. The number of cases in those facilities peaked after the peak of the general population. The duration of occurrence of new cases in clusters was positively correlated with the number of cases in both types of facilities (rho = 0.44, P < 0.001; and rho = 0.69, P < 0.001, respectively). However, the number of days between the first case in a prefecture and the onset of clusters was negatively correlated with the number of cases only in clusters in social welfare facilities (rho = - 0.4, P = 0.004). Our results suggest that COVID-19 cases in those facilities were prevalent in the latter phase of the disease's community transmission, although the underlying mechanisms for such a trend could differ between medical and social welfare facilities.
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