Comparing intentional and unintentional poisoning among patients presenting to the emergency department at a tertiary care center in Lebanon: A retrospective descriptive analysis

Key differences between intentional and unintentional poisonings in Lebanon highlight the need for targeted preventive strategies and risk mitigation in high-risk populations.

Authors

Institutions

Publication Details

Journal
PLoS ONE
Published
2026-02-23
DOI
https://doi.org/10.1371/journal.pone.0342694
Primary Topic
Poisoning and overdose treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Comparing intentional and unintentional poisoning among patients presenting to the emergency department at a tertiary care center in Lebanon: A retrospective descriptive analysis

Hani Tamim, Tharwat El Zahran, Nadim Oueidat, Youssef Salam et al.
PLoS ONE
Poisoning and overdose treatments
article

Comparing intentional and unintentional poisoning among patients presenting to the emergency department at a tertiary care center in Lebanon: A retrospective descriptive analysis

Hani Tamim, Tharwat El Zahran, Nadim Oueidat, Youssef Salam, Ziad Kazzi, Alondra Barakat, Zyad Saifi, Eveline Hitti
article en

Abstract

Key differences between intentional and unintentional poisonings in Lebanon highlight the need for targeted preventive strategies and risk mitigation in high-risk populations.

PLoS ONEVol. 21(2)
Alfaisal University (SA), Emory University (US), American University of Beirut (LB)
Openalex Percentile: Top 49%
Poisoning and overdose treatments
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.