Acute Stress Disorder in Soldiers Injured During the October 7 War

The study highlights the importance of early identification of soldiers at high risk for developing ASD, particularly those with a personal history of trauma. In relation to combat events, individuals who have been exposed to fatalities require intervention after the war.

Authors

Institutions

Publication Details

Journal
Military Medicine
Published
2026-02-02
DOI
https://doi.org/10.1093/milmed/usag064
Primary Topic
Posttraumatic Stress Disorder Research
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Acute Stress Disorder in Soldiers Injured During the October 7 War

Jacob Rotschield, Yaakov Naparstek, Shlomi Abuhasira, Yonah Lourie et al.
Military Medicine
Posttraumatic Stress Disorder Research
article

Acute Stress Disorder in Soldiers Injured During the October 7 War

Jacob Rotschield, Yaakov Naparstek, Shlomi Abuhasira, Yonah Lourie, Leah Shelef, Ester Ketty Katz, Alon D Schwarts, Petachia Reissman, Mary Babkin Klein
article en

Abstract

The study highlights the importance of early identification of soldiers at high risk for developing ASD, particularly those with a personal history of trauma. In relation to combat events, individuals who have been exposed to fatalities require intervention after the war.

Military Medicine
Sapir College (IL), Shaare Zedek Medical Center (IL), College of Law and Business (IL), Israel Defense Forces Medical Corps (IL), Alzheimer's Association of Israel (IL)
Openalex Percentile: Top 46%
Posttraumatic Stress Disorder Research
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.