Evidence map›Paper›PMID 28861026›Full record

ArticleFrontiers in psychology2017

Computational Psychometrics for Modeling System Dynamics during Stressful Disasters.

Pietro Cipresso, Alessandro Bessi, Desirée Colombo, Elisa Pedroli, Giuseppe Riva

Abstract read
In one paragraph

Article in Frontiers in psychology, 2017. 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
–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

2 citing papers in PubMed.

  1. Review
  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

5 authors.

Pietro CipressoApplied Technology for Neuro-Psychology Laboratory, Istituto Auxologico ItalianoMilan, Italy.
Alessandro BessiInformation Sciences Institute, University of Southern California, Marina del ReyCA, United States.
Desirée ColomboApplied Technology for Neuro-Psychology Laboratory, Istituto Auxologico ItalianoMilan, Italy.
Elisa PedroliApplied Technology for Neuro-Psychology Laboratory, Istituto Auxologico ItalianoMilan, Italy.
Giuseppe RivaApplied Technology for Neuro-Psychology Laboratory, Istituto Auxologico ItalianoMilan, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Disasters can be very stressful events. However, computational models of stress require data that might be very difficult to collect during disasters. Moreover, personal experiences are not repeatable, so it is not possible to collect bottom-up information when building a coherent model. To overcome these problems, we propose the use of computational models and virtual reality integration to recreate disaster situations, while examining possible dynamics in order to understand human behavior and relative consequences. By providing realistic parameters associated with disaster situations, computational scientists can work more closely with emergency responders to improve the quality of interventions in the future.

Indexed as

communicationcomputational psychometricsdisaster managementmodelingpsychological stresspsychometrics

Identifiers

PMID28861026
PMCPMC5559530

What OpenQuestion holds

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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.