Evidence map›Paper›PMID 37457279›Full record

ArticleFrontiers in public health2023

Creating realistic nerve agent victim profiles for computer simulation of medical CBRN disaster response.

Ruben De Rouck, Mehdi Benhassine, Michel Debacker, Christian Dugauquier, Erwin Dhondt, Filip Van Utterbeeck, Ives Hubloue

Open access · goldAbstract read
In one paragraph

Article in Frontiers in public health, 2023. 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
3.2field-weighted citation impact, top 9% 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, 8 citations in OpenAlex.

  1. Article
  2. 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 at 2 institutions in 1 country.

Ruben De RouckResearch Group on Emergency and Disaster Medicine, Vrije Universiteit Brussel, Brussels, Belgium.
Mehdi BenhassineDepartment of Mathematics, Royal Military Academy, Brussels, Belgium.
Michel DebackerResearch Group on Emergency and Disaster Medicine, Vrije Universiteit Brussel, Brussels, Belgium.
Christian DugauquierTwenty-third Medical Battalion, Belgian Defence, Tournai, Belgium.
Erwin DhondtDO Consultancy, Brussels, Belgium.
Filip Van UtterbeeckDepartment of Mathematics, Royal Military Academy, Brussels, Belgium.
Ives HubloueResearch Group on Emergency and Disaster Medicine, Vrije Universiteit Brussel, Brussels, Belgium.
Vrije Universiteit Brussel · BERoyal Military Academy · BE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the last decades, Chemical, Biological, Radiological and Nuclear (CBRN) threats have become serious risks prompting countries to prioritize preparedness for such incidents. As CBRN scenarios are very difficult and expensive to recreate in real life, computer simulation is particularly suited for assessing the effectiveness of contingency plans and identifying areas of improvement. These computer simulation exercises require realistic and dynamic victim profiles, which are unavailable in a civilian context. In this paper we present a set of civilian nerve agent injury profiles consisting of clinical parameters and their evolution, as well as the methodology used to create them. These injury profiles are based on military injury profiles and adapted to the civilian population, using sarin for the purpose of illustration. They include commonly measured parameters in the prehospital setting. We demonstrate that information found in military sources can easily be adjusted for a civilian population using a few simple assumptions and validated methods. This methodology can easily be expanded to other chemical warfare agents as well as different ways of exposure. The resulting injury profiles are generic so they can also be used in tabletop and live simulation exercises. Modeling and simulation, if used correctly and in conjunction with empirical data gathered from lessons learned, can assist in providing the evidence practices for effective and efficient response decisions and interventions, considering the contextual factors of the affected area and the specific disaster scenario.

Indexed as

Disaster PlanningDisastersNerve AgentsComputer SimulationSarinNerve AgentsSarincomputer simulationdisaster preparednessinjury profilenerve agentorganophosphatessarinvictim model

Identifiers

PMID37457279
PMCPMC10347399
OpenAlexW4382725974

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.