Evidence map›Paper›PMID 39070219›Full record

ArticleJournal of safety science and resilience = An quan ke xue yu ren xing (Ying wen)2023

The role of emergency incident type in identifying first responders' health exposure risks.

Emily J Haas, Katherine N Yoon, Alexa Furek, Megan Casey, Susan M Moore

Abstract read
In one paragraph

Article in Journal of safety science and resilience = An quan ke xue yu ren xing (Ying wen), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Emily J HaasNational Personal Protective Technology Laboratory (NPPTL), National Institute for Occupational Safety and Health (NIOSH), Pittsburgh, PA 15236, United States.
Katherine N YoonNational Personal Protective Technology Laboratory (NPPTL), National Institute for Occupational Safety and Health (NIOSH), Pittsburgh, PA 15236, United States.
Alexa FurekNational Personal Protective Technology Laboratory (NPPTL), National Institute for Occupational Safety and Health (NIOSH), Pittsburgh, PA 15236, United States.
Megan CaseyNational Personal Protective Technology Laboratory (NPPTL), National Institute for Occupational Safety and Health (NIOSH), Morgantown, WV 26505, United States.
Susan M MooreNational Personal Protective Technology Laboratory (NPPTL), National Institute for Occupational Safety and Health (NIOSH), Pittsburgh, PA 15236, United States.

Funding

Intramural CDC HHS CC999999
6 · The paper itself

Abstract

Fire-based emergency management service (EMS) personnel are dispatched to various incidents daily, many of which have unique occupational risks. To fully understand the variability of incident types and how to best prepare and respond, an exploration of the U.S. coding system of incident types is necessary. This study uses potential exposure to SARS-CoV-2 as a case example to understand if and how coding categories for incident call types may be updated to improve data standardization and emergency response decision making. Researchers received emergency response incident data generated by three fire department computer-aided dispatch (CAD) systems between March and September 2020. Each incident was labeled

Indexed as

Emergency medical servicesFirefighterIncident typeSurveillanceTelecommunicator

Identifiers

PMID39070219
PMCPMC11274168

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.