Evidence map›Paper›PMID 34744545›Full record

ArticleAnnals of burns and fire disasters2021

Future Study Of Fire Disaster Risk In Iran Using A Scenario Planning Approach.

H Jafari, H Sheikhbardsiri, M Mohammadi

Open access · greenAbstract read
In one paragraph

Article in Annals of burns and fire disasters, 2021. 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, top 71% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

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

3 authors at 2 institutions in 2 countries.

H JafariHealth, Work and Environment Research Center, Sirjan School of Medical Sciences, Kerman, Iran.
H SheikhbardsiriDisasters and Emergencies Management Center, Kerman University of Medical Sciences, Kerman, Iran.
M MohammadiCentre for Environment and Population Health, Griffith University, Australia.
Griffith University · AUKerman University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Fire disasters are one of the most common technological disasters in Iran. These disasters have killed many people and resulted in significant economic loss. The "Plasco" building fire in 2017 is one example of these catastrophic disasters, when most of Iran was affected by its tragic news. Regarding the increasing number of risk factors for fire disasters, we aimed to study future scenarios for such disasters in the country. The present study is a futuristic study with an exploratory approach that uses an intuitive logic scenario development approach. We used document analysis, semi-structured interviews, and the Delphi technique to identify driving forces and develop scenario stories, and finally those scenario stories were validated. In the document analysis phase, 22 documents were identified and analysed. After collecting information related to documents and analysing ten interviews, 41 of the driving forces were identified. By drawing the scenario matrix, four alternative scenarios for the future of fire disasters were developed. Two dimensions for scenario development were the correct application of fire prevention laws and access to driving technologies. Policymakers can concentrate on these key factors for best planning in the mitigation of fire disasters. In addition, studying scenarios can help managers and officials to better develop strategic plans for disaster risk reduction.

Indexed as

fire disastersfuturescenario planningtechnological disasters

Identifiers

PMID34744545
PMCPMC8534309
OpenAlexW3212892884

What OpenQuestion holds

Textmetadata
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.