Syndemic geographic patterns of integrated diseases during the Libyan armed conflict; a new aspect for public health care intervention?

High co-occurrence of TB and COVID-19 was evident. The southern region (i.e., Sebha), Tripoli, and Benghazi consistently portrayed higher incorporation patterns of the two intertwined infections. Conversely, the western mountain region and the Southeast region exhibited a lower concordance during the pandemic period. The co-occurrence of HIV and HCV infections was clear all over the country. The highest condensation of the concomitant is in the Western region, particularly the western mountains, Zawia followed by Jufra and Ghat. Followed by the Eastern region, particularly Deana and Benghazi. This was less tense in the Southern and Med region municipalities. Mortality and morbidity show a visible syndemic geographic pattern. The highest density of these two concomitant patterns was Benghazi, Derna and, Ajdabia in the Eastern region and Sirt, Musrta, Baniwaled in the Western region and to a lesser extent in Zawia and Shati.This study highlights the need syndemic geographic patterns of integrated diseases to focus on wellbeing beyond standard health parameters. Clear decisions about prioritisation of health care to be provided based the geographic region in need.

Authors

Institutions

Publication Details

Journal
Frontiers in Epidemiology
Published
2025-11-07
DOI
https://doi.org/10.3389/fepid.2025.1580437
Primary Topic
Health and Conflict Studies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Syndemic geographic patterns of integrated diseases during the Libyan armed conflict; a new aspect for public health care intervention?

Abdallah El-Bouzedi, Mohamed A. Daw, A. Najjar, Mohamed O. Ahmed et al.
Frontiers in Epidemiology
Health and Conflict Studies
article

Syndemic geographic patterns of integrated diseases during the Libyan armed conflict; a new aspect for public health care intervention?

Abdallah El-Bouzedi, Mohamed A. Daw, A. Najjar, Mohamed O. Ahmed, Said Emhamed Wareg, Sulma I. Mohammed, Raja Khalid Miftah, Najmuldin abdulbasit abdulsamad, Mohammed Saad Elbasha, Asawer Seifennaser Doukali, Nosieba Taher Elmhidwi, Esra Othman Albouzaidi, Saleh Ali Abumahara, Nouri R. Ben Ashur, Alaa Grebi, Amnnh Mohammed Dhu, Ali Fathi Alkarghali, Emad Elsgair Alzahra
article en

Abstract

High co-occurrence of TB and COVID-19 was evident. The southern region (i.e., Sebha), Tripoli, and Benghazi consistently portrayed higher incorporation patterns of the two intertwined infections. Conversely, the western mountain region and the Southeast region exhibited a lower concordance during the pandemic period. The co-occurrence of HIV and HCV infections was clear all over the country. The highest condensation of the concomitant is in the Western region, particularly the western mountains, Zawia followed by Jufra and Ghat. Followed by the Eastern region, particularly Deana and Benghazi. This was less tense in the Southern and Med region municipalities. Mortality and morbidity show a visible syndemic geographic pattern. The highest density of these two concomitant patterns was Benghazi, Derna and, Ajdabia in the Eastern region and Sirt, Musrta, Baniwaled in the Western region and to a lesser extent in Zawia and Shati.This study highlights the need syndemic geographic patterns of integrated diseases to focus on wellbeing beyond standard health parameters. Clear decisions about prioritisation of health care to be provided based the geographic region in need.

Frontiers in EpidemiologyVol. 5
University of Tripoli (LY)
Openalex Percentile: Top 50%
Health and Conflict Studies
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.