Evidence map›Paper›PMID 39472957›Full record

ArticleIsrael journal of health policy research2024

A prediction model of PTSD in the Israeli population in the aftermath of october 7th, 2023, terrorist attack and the Israel-Hamas war.

Dana Katsoty, Michal Greidinger, Yuval Neria, Aviv Segev, Ido Lurie

Abstract read
In one paragraph

Article in Israel journal of health policy research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.

0numbers the graph read from it
0cells of the map it votes in
22citing 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

22 citing papers in PubMed.

  1. Article
  2. Mental health and self-compassion in military couples during wartime.Psychological trauma : theory, research, practice and policy · 2026
    Article
  3. Article
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  14. Adolescents during wartime: Vulnerability-based profiles.Journal of research on adolescence : the official journal of the Society for Research on Adolescence · 2025
    Article
  15. The Roles of Dissociation and Depression in PTSD Among Soldiers Exposed to Combat.International journal of environmental research and public health · 2025
    Article
  16. Review
  17. Nurses during war: Profiles-based risk and protective factors.Journal of nursing scholarship : an official publication of Sigma Theta Tau International Honor Society of Nursing · 2025
    Article
  18. Article
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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.

Dana Katsoty *Psychology Department, The Hebrew University of Jerusalem, Jerusalem, Israel. dana.katsoty@mail.huji.ac.il.ORCID http://orcid.org/0000-0001-5732-6798
Michal Greidinger *Department of Counseling and Human Development, Faculty of Education, University of Haifa, Haifa, Israel.
Yuval NeriaDepartment of Psychiatry, Columbia University Irving Medical Center, New York, NY, USA.
Aviv Segev *Shalvata Mental Health Center, Hod Hasharon, Israel.
Ido Lurie *Shalvata Mental Health Center, Hod Hasharon, Israel.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundOn October 7th, 2023, a mass terror attack was launched by Hamas militants, which was followed by the Israel-Hamas war. These events constitute a nationwide trauma with major ramifications for public mental health. This article presents an evidence-based model for the prediction of the prevalence of posttraumatic stress disorder (PTSD) related to the terrorist attack and the war. MAIN BODY: The creation of the model consisted of several steps. Firstly, the Israeli population was divided into six groups based on the intensity, context, and type of traumatic exposure (direct exposure to terror, close proximity to terror, soldiers in combat and support units, intense exposure to rocket attacks, moderate exposure to rocket attacks, and indirectly affected communities), and the population size of each group was assessed using official national databases. Secondly, an estimation of the expected prevalence of PTSD in each of the exposure groups was based on a review of the relevant literature. A random-effects meta-analysis of the prevalence rates was conducted separately per each exposure group. Finally, the predicted number of PTSD causalities in the population was calculated by multiplying the group size and the PTSD prevalence estimation. Based on population size and estimated PTSD prevalence within each exposure category, the model predicts that approximately 5.3% (N = 519,923) of the Israeli population (95% confidence interval, 1.64-9%), may develop PTSD as a result of the terrorist attack and the war.

conclusionsThe predicted number of individuals with PTSD following mass trauma is expected to be considerable. The presented model can assist policymakers, clinicians, and researchers in preparing and devising adequate interventions for the mental health needs of large populations. Moreover, this model can be applied in other instances of mass-trauma exposure.

Indexed as

Stress Disorders, Post-TraumaticTerrorismHumansIsraelMalePrevalenceEpidemiologyMental health servicesPost-traumatic stress disorder (PTSD)Prediction modelTerrorTraumaWar

Identifiers

PMID39472957
PMCPMC11520871

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Registered trials

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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.