Evidence map›Paper›PMID 29396388›Full record

ArticleJournal of medical Internet research2018

The Significance of Witness Sensors for Mass Casualty Incidents and Epidemic Outbreaks.

Chih-Long Pan, Chih-Hao Lin, Yan-Ren Lin, Hsin-Yu Wen, Jet-Chau Wen

Open access · goldAbstract read
In one paragraph

Article in Journal of medical Internet research, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.7field-weighted citation impact, top 29% 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

2 citing papers in PubMed, 10 citations in OpenAlex.

  1. The Field's mass shooting: emergency medical services response.Scandinavian journal of trauma, resuscitation and emergency medicine · 2023
    Article
  2. Journal of acute medicine · 2019
    Review
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 at 4 institutions in 2 countries.

Chih-Long PanResearch Center for Soil & Water Resources and Natural Disaster Prevention, National Yunlin University of Science & Technology, Douliou, Taiwan.ORCID 0000-0003-3365-9162
Chih-Hao LinDepartment of Emergency Medicine, National Cheng Kung University Hospital, College of Medicine, National Cheng Kung University, Tainan, Taiwan.ORCID 0000-0002-0042-0131
Yan-Ren LinDepartment of Emergency Medicine, Changhua Christian Hospital, Changhua, Taiwan.ORCID 0000-0002-9015-2678
Hsin-Yu WenDepartment of Clinical Medicine, West China School of Medicine, Sichuan University, Sichuan, China.ORCID 0000-0002-2748-184X
Jet-Chau WenResearch Center for Soil & Water Resources and Natural Disaster Prevention, National Yunlin University of Science & Technology, Douliou, Taiwan.ORCID 0000-0001-7363-1039
National Yunlin University of Science and Technology · TWKaohsiung Medical University · TWNational Cheng Kung University Hospital · TWSichuan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Due to the increasing number of natural and man-made disasters, mass casualty incidents occur more often than ever before. As a result, health care providers need to adapt in order to cope with the overwhelming patient surge. To ensure quality and safety in health care, accurate information in pandemic disease control, death reduction, and health quality promotion should be highlighted. However, obtaining precise information in real time is an enormous challenge to all researchers of the field. In this paper, innovative strategies are presented to develop a sound information network using the concept of "witness sensors." To overcome the reliability and quality limitations of information obtained through social media, researchers must focus on developing solutions that secure the authenticity of social media messages, especially for matters related to health. To address this challenge, we introduce a novel concept based on the two elements of "witness" and "sensor." Witness sensors can be key players designated to minimize limitations to quality of information and to distinguish fact from fiction during critical events. In order to enhance health communication practices and deliver valid information to end users, the education and management of witness sensors should be further investigated, especially for implementation during mass casualty incidents and epidemic outbreaks.

Indexed as

Disaster PlanningDisease OutbreaksEpidemicsExpert TestimonyHumansMass Casualty IncidentsReproducibility of Resultsinternetmass casualty incidentsensorsocial media

Identifiers

PMID29396388
PMCPMC5816259
OpenAlexW2786253084

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.