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.

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