Covid-19 vaccine program eliminates law enforcement workforce infections
A Bayesian structural time series analysis
Datos Bibliográficos
| ID | 21177284 |
|---|---|
| Autores | Scott M Mourtgo (0000-0002-7486-9150, University of Utah, autor de correspondencia), Ian T Adams (0000-0001-5595-8070, University of Utah) |
| Año | 2021 |
| Volumen | 22 |
| Número | 5 |
| Páginas | 1557-1565 |
| Fecha de publicación | 2021-07-27 |
| Peer Reviewed | Sí |
| Open Access | No |
| Tipo | ARTICLE |
| Revista | Police Practice and Research (JOURNAL) |
| Identificadores de la revista | ISSN: 1561-4263 • E-ISSN: 1477-271X |
| Editorial | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/15614263.2021.1894937 |
| OpenAlex | W3131117914 |
| Idioma | EN |
| Citas recibidas | 9 |
| Referencias citadas | 16 |
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 vaccine's effect on infection rates within the law enforcement workforce. We address that gap with a report on a single large agency's 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 agency's 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
Business · Enforcement · Law enforcement · Officer · Pandemic · Political science · Sociology · Vaccination · Workforce · COVID-19 and healthcare impacts · COVID-19 epidemiological studies · Influenza Virus Research Studies · Law · Medicine · Virology
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| Obras citantes distintas | 9 |
|---|---|
| Citas por año | 1,8 |
| Intervalo de citas | 2021 - 2025 (5) |
| Velocidad de citación | recent |
| Altamente citado | No |
| Tipos de cita | Neutras: 8 |