Evidence map›Paper›PMID 36247349›Full record

ArticleJournal of criminal justice

The impact of COVID-19 on police officer activities.

Kyler R Nielson, Yan Zhang, Jason R Ingram

Open access · greenAbstract read
In one paragraph

Article in Journal of criminal justice. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
14.6field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
  2. Article
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  4. POLICING IN THE AGE OF THE GUN.New York University law review (1950) · 2023
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Kyler R NielsonDepartment of Criminal Justice & Criminology, Sam Houston State University, Huntsville, TX 77341-2296, United States of America.
Yan ZhangDepartment of Criminal Justice & Criminology, Sam Houston State University, Huntsville, TX 77341-2296, United States of America.
Jason R IngramDepartment of Criminal Justice & Criminology, Sam Houston State University, Huntsville, TX 77341-2296, United States of America.
Sam Houston State University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: This study examined the impact of COVID-19 on police reactive and proactive activities in Houston, Texas. Seven types of police officer reactivity and three distinct categories of proactivity were examined. Methods: Weekly calls for service data from January 1, 2018-December 31, 2020 were analyzed through interrupted time series using ARIMA models. Results: Police responses to property, traffic-related activities, and service-related calls all decreased when compared to previous years. A significant increase was observed for violent crime calls. Self-initiated activities performed by specialized crime units significantly decreased, but there was a significant increase in self-initiated patrol. Activities performed by a specialized response unit initially increased, but then went back to pre-pandemic levels following the death of George Floyd. Conclusions: Observed decreases in reactivity may be attributed to changes in citizens' routine activities. COVID-19 was associated with increased demands for police responses to violence, consistent with extant research. A unique contribution of this study was the incorporation of officer proactivity. Changes to proactive patrol could also be attributed to changes in the routine activities of citizens. This study adds to the growing body of literature examining the impact of COVID-19 on police services.

Indexed as

Calls for serviceCOVID-19Interrupted time seriesProactivityRoutine activities

Identifiers

PMID36247349
PMCPMC9549130
OpenAlexW4281628798

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.