COVID-19 vaccine program eliminates law enforcement workforce infections: a Bayesian structural time series analysis

No. Panggil :	eja-21-0033
Nama Orang :	Mourtgos, Scott M. Adams, Ian T.






Penerbitan :	[Place of publication not identified] : Taylor and Francis - Criminology and Law, 2021

Abstrak	COVID-19 has created tremendous operational difficulties for law enforcement agencies, with substantial portions of their staff quarantined for either exposure or infection. With the rollout of a vaccine beginning in early 2021, there is hoped for relief on the horizon. However, to date, no study has reported the vaccines effect on infection rates within the law enforcement workforce. We address that gap with a report on a single large agencys experience, using data on officer positivity rates gathered over 341 days. During the immunization period, employees accepted vaccination at over 70% uptake. Results show the vaccine eliminated new cases of COVID-19 among the agencys nearly 700 employees within weeks. As other agencies consider their vaccination programs, they should consider communicating early and often about the impact of the pandemic on operations and the efficacy of vaccination, including the results reported here.
Entri Tambahan Nama Orang
001 Hak Akses (open/membership)	membership
Kata Kunci	COVID-19; vaccination; police; Bayesian structural time series
ISSN
Tahun Terbit	2021
No. Induk	eja-21-0033
Entri Sumber Data	Taylor and Francis - Criminology and Law
Entri Utama Nama orang	Mourtgos, Scott M.; Adams, Ian T.
Volume, Nomor, Tahun dan Hlm.	vol. 22, no. 5, p. 1557-1565
Subjek Topik
Barcode	eja-21-0033
Judul Utama	COVID-19 vaccine program eliminates law enforcement workforce infections: a Bayesian structural time series analysis
Kode Bahasa	eng
Sumber Koleksi	Perpustakaan Nasional