Nursing Home Staff Networks and COVID-19
M. Keith Chen, Judith A. Chevalier, and Elisa F. Long

TL;DR
This study analyzes how staff sharing among nursing homes contributes to COVID-19 spread, revealing that staff connections significantly predict outbreaks and that reducing these linkages could cut infections by nearly half.
Contribution
First large-scale analysis of nursing home staff networks using geolocation data, quantifying connections and their impact on COVID-19 transmission.
Findings
7% of smartphones appeared in multiple nursing homes.
Average nursing home connected to 15 others.
Eliminating staff linkages could reduce infections by 44%.
Abstract
Nursing homes and other long term-care facilities account for a disproportionate share of COVID-19 cases and fatalities worldwide. Outbreaks in U.S. nursing homes have persisted despite nationwide visitor restrictions beginning in mid-March. An early report issued by the Centers for Disease Control and Prevention identified staff members working in multiple nursing homes as a likely source of spread from the Life Care Center in Kirkland, Washington to other skilled nursing facilities. The full extent of staff connections between nursing homes---and the crucial role these connections serve in spreading a highly contagious respiratory infection---is currently unknown given the lack of centralized data on cross-facility nursing home employment. In this paper, we perform the first large-scale analysis of nursing home connections via shared staff using device-level geolocation data from 30…
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Taxonomy
TopicsGeriatric Care and Nursing Homes · Health disparities and outcomes
