Webinar

Nursing Home Staff Networks and COVID-19

September 7, 2021
 at 
4:00 pm
 EST

Hear from researchers at UCLA about how using geolocation data, connections of shared nursing home staff were analyzed to study resulting outbreaks of COVID-19.

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Webinar

Nursing Home Staff Networks and COVID-19

September 7, 2021
 at 
4:00 pm
 EST

Hear from researchers at UCLA about how using geolocation data, connections of shared nursing home staff were analyzed to study resulting outbreaks of COVID-19.

Register now

Speakers

Elisa Long
Elisa Long
Associate Professor at UCLA

Niki Kazahaya
Niki Kazahaya
Community Manager at SafeGraph

Webinar

Nursing Home Staff Networks and COVID-19

September 7, 2021
 at 
4:00 pm
 EST

Abstract

Skilled nursing homes (SNFs) accounted for a disproportionate share of COVID-19 fatalities worldwide, with outbreaks persisting despite the March 2020 nationwide ban on visitors. Using device-level geolocation data for 50 million smartphones, we analyze SNF connections via shared staff and observe 500,000 individuals entering at least one SNF, with 5.1% entering two or more facilities. Nursing homes share connections with 7.1 other facilities, on average. Network measures of connectivity, including node degree, strength and Eigenvector centrality, are highly predictive of COVID-19 cases, whereas traditional regulatory quality metrics are unimportant in predicting outbreak size.


Listen in as Elisa Long of UCLA discusses this research in this on demand webinar.

CONTENTS

Speakers

Elisa Long
Elisa Long
Associate Professor at UCLA

Niki Kazahaya
Niki Kazahaya
Community Manager at SafeGraph