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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
AbstrakCOVID-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 KunciCOVID-19; vaccination; police; Bayesian structural time series
ISSN
Tahun Terbit2021
No. Indukeja-21-0033
Entri Sumber DataTaylor and Francis - Criminology and Law
Entri Utama Nama orangMourtgos, Scott M.; Adams, Ian T.
Volume, Nomor, Tahun dan Hlm.vol. 22, no. 5, p. 1557-1565
Subjek Topik
Barcodeeja-21-0033
Judul UtamaCOVID-19 vaccine program eliminates law enforcement workforce infections: a Bayesian structural time series analysis
Kode Bahasaeng
Sumber KoleksiPerpustakaan Nasional
No. Panggil No. Barkod Ketersediaan
eja-21-0033 eja-21-0033 TERSEDIA
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