Evidence map›Paper›PMID 39857514›Full record

ArticleInternational journal of environmental research and public health2025

Using a Safe System Framework to Examine the Roadway Mortality Increase Pre-COVID-19 and in the COVID-19 Era in New York State.

Joyce C Pressley, Zarah Aziz, Emilia Pawlowski, Leah Hines, Aisha Roberts, Jancarlos Guzman, Michael Bauer

Abstract read
In one paragraph

Article in International journal of environmental research and public health, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Fentanyl Purity and Overdose Decline: A Reexamination of Geographic Trends.medRxiv : the preprint server for health sciences · 2026
    Article
  3. 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

7 authors.

Joyce C PressleyDepartment of Epidemiology and Health Policy and Management and the Columbia Center for Injury Science and Prevention, Columbia University, New York, NY 10032, USA.ORCID 0000-0001-9039-9120
Zarah AzizDepartment of Epidemiology, Columbia University, New York, NY 10032, USA.
Emilia PawlowskiNew York State, Bureau of Occupational Health and Injury Prevention, Albany, NY 12237, USA.
Leah HinesNew York State, Bureau of Occupational Health and Injury Prevention, Albany, NY 12237, USA.ORCID 0000-0003-0302-0421
Aisha RobertsNew York State, Bureau of Occupational Health and Injury Prevention, Albany, NY 12237, USA.
Jancarlos GuzmanNew York State, Bureau of Occupational Health and Injury Prevention, Albany, NY 12237, USA.
Michael BauerNew York State, Bureau of Occupational Health and Injury Prevention, Albany, NY 12237, USA.

Funding

ACL HHS R49CE003555CDC HHS NU17CE010055NCIPC CDC HHS 1R49 CE002096NCIPC CDC HHS R49 CE002096New York State Governor's Traffic Safety Committee HS1-2024-HRI/NYS DOH-00192-(088New York State Governor's Traffic Safety Committee HS1-2024-HRI/NYS DOH-00194-(088)
6 · The paper itself

Abstract

Roadway mortality increased during COVID-19, reversing a multi-decade downward trend. The Fatality Analysis Reporting System (FARS) was used to examine contributing factors pre-COVID-19 and in the COVID-19 era using the five pillars of the Safe System framework: (1) road users; (2) vehicles; (3) roadways; (4) speed; and (5) post-crash care. Two study time periods were matched to control for seasonality differences pre-COVID-19 (

Indexed as

Accidents, TrafficCOVID-19SafetyAdultAutomobile DrivingHumansMaleMiddle AgedNew YorkSARS-CoV-2COVID-19mortalitymotor vehicle crashsafe system

Identifiers

PMID39857514
PMCPMC11764538

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.