Timing of outbreak-triggered unit-wide screening and COVID-19 outbreak size in long-term care and related social welfare facilities in Okinawa, Japan
Year: 2026
Type: article
Study design: Observational Study
Abstract: Objectives: Coronavirus disease 2019 outbreaks in long-term care facilities can spread rapidly, but evidence on whether delayed outbreak-triggered unit-wide screening is associated with outbreak size is limited. Methods: We conducted a retrospective observational study using outbreak-support records from long-term care and related social welfare facilities in Okinawa Prefecture, Japan, from April to September 2022. We included outbreaks with documented unit-wide screening. The outcome was the final outbreak size. The exposure was the delay from outbreak recognition to the first unit-wide screening (same day, 1 day, 2 days, or ≥3 days). We used multivariable negative binomial regression, adjusting for index case type, facility type, recognition period, and facility-level resident vaccination coverage. Results: We analyzed 707 outbreaks. Compared with same-day screening, the adjusted incidence rate ratios for outbreak size were 0.95 (95% confidence interval 0.72-1.26) for a 1-day delay, 1.16 (0.87-1.54) for a 2-day delay, and 1.44 (1.09-1.91) for delays of ≥3 days. The association was attenuated after adjustment for on-site infection prevention and control visit timing. Conclusion: Delays of ≥3 days from outbreak recognition to the first unit-wide screening were associated with a larger final outbreak size. Earlier outbreak-triggered screening may support outbreak control in long-term care facilities, although causal interpretation is limited by the observational design.
Source: IJID Regions
Institutions: Kyoto University, Urasoe General Hospital, Institut Pasteur, Université Paris Cité, Okinawa Prefecture, Joint Research Center for Human Retrovirus Infection, Kumamoto University, Japan Institute for Health Security, Kumamoto University, Nakagami Hospital, Okinawa Prefectural Chubu Hospital
Language: English
Subfield: Geriatrics and Gerontology
Field: Medicine
Domain: Health Sciences
Open Access status: gold
Estimated APC paid: $1,380
Awards: Elucidation of factors contributing to the spread of influenza and other diseases using mobility data: Mathematical, statistical, and epidemiological models, Elucidation of factors contributing to the spread of COVID-19 using mobility data, G9001290338, Development and evaluation of immunochromatographic rapid diagnostic test to detect hepatitis B core-related antigen (HBcrAg RDT)
OpenAlex ID: W7221595907
