Evidence map›Paper›PMID 34410833›Full record

ArticleTraffic injury prevention2021

The association between a statewide stay-at-home order and motor vehicle injury rates among population sub-groups in West Virginia.

Toni M Rudisill

Abstract read
In one paragraph

Article in Traffic injury prevention, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. A Descriptive Analysis on the Impact of COVID-19 Lockdowns on Road Traffic Incidents in Sydney, Australia.International journal of environmental research and public health · 2021
    Article
  5. Article
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

1 author.

Toni M RudisillDepartment of Epidemiology and Biostatistics, West Virginia University, Morgantown, West Virginia.ORCID 0000-0002-2019-4274

Funding

West Virginia IDEA-CTRU54GM104942 · NIGMS · WEST VIRGINIA UNIVERSITY · PI Laura F. Gibson · 2012 to 2026
$81.0M
NIGMS NIH HHS U54 GM104942NIH HHS 5U54 GM104942-04
6 · The paper itself

Abstract

objectiveLittle is known about the relationship between Stay-At-Home orders issued by state governments due to the COVID-19 pandemic and their impacts on motor vehicle-related injuries. The purpose of this study was to determine whether the presence of a Stay-At-Home order was associated with lower rates of motor vehicle-related injuries requiring emergency medical treatment among population sub-groups in West Virginia (i.e., males, females, 0-17, 18-25, 26-45, 46-65, ≥66 years old).

methodsA Stay-At-Home order was in effect in West Virginia from March 23-May 4, 2020. Counts of individuals who incurred motor-vehicle-related injuries that required emergency medical treatment were obtained from the Centers for Disease Control and Prevention's National Syndromic Surveillance Program from January 1 thru September 6 of 2019 and 2020. Counts were obtained by week-year and by population sub-group in West Virginia. The presence of the Stay-At-Home order was binary coded by week. Negative binomial regression was used to assess the relationship between the presence of a Stay-At-Home and injury rates. 2019 population sub-group estimates were obtained from the United States Census Bureau and used as offsets in the models. Models were also adjusted for year and vehicle miles traveled by week-year.

resultsThere were 23,418 motor-vehicle related injuries during the study period. The presence of the Stay-At-Home order was associated with 44% less injuries overall [Incident Rate Ratio (IRR)=0.56, 95% CI 0.48, 0.64]. Females experienced fewer injuries than males (IRR = 0.49 vs 0.63, respectively) and the number of injuries decreased with age (p-value 0.031) when comparing time periods when the Stay-At-Home was in effect compared to times when it was not.

conclusionsWest Virginia's Stay-At-Home order was associated with lower motor-vehicle injury rates requiring medical treatment across all population sub-groups. Most population sub-groups likely altered their travel behaviors which resulted in lower motor-vehicle injury rates. These findings may inform future policies that impose emergency travel restrictions in populations.

Indexed as

Accidents, TrafficCOVID-19PandemicsPublic HealthWounds and InjuriesAdolescentAdultAgedChildChild, PreschoolFemaleHumansInfantInfant, NewbornMaleMiddle AgedcollisionCOVID-19Injuriespandemictravel restriction

Identifiers

PMID34410833
PMCPMC8489257

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Registered trials

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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.