A multicenter hospital-based analysis of cystic Echinococcosis in Afghanistan: Filling a National data gap

BACKGROUND: Cystic Echinococcosis (CE), a neglected zoonotic disease caused by Echinococcus granulosus, is highly endemic in Afghanistan due to livestock-dependent livelihoods, poor sanitation, limited healthcare access, and unregulated animal practices. Despite its substantial morbidity and economic burden, national surveillance and clinical data remain scarce. OBJECTIVE: This study aims to describe the clinical and demographic characteristics of surgically treated CE patients at five referral hospitals in Kabul, Afghanistan. The objective is to fill the gap of limited national-level data on CE, provide evidence for targeted clinical management, resource allocation, and inform the development of effective public health interventions to address this neglected disease. METHODOLOGY: This retrospective hospital based surgical case series analyzed 330 surgically treated CE patients admitted to five hospitals in Kabul (2021-2025). Data on demographics, geographic origin, affected organs, and clinical records were extracted from archived medical documents. Descriptive analysis prioritized epidemiological and clinical characterization. RESULTS: Patients (6-78 years) originated from 31 provinces, with Kabul (107 cases), Faryab (35), and Balkh (24) as top sources. No significant gender predominance was observed (52.12% male, 47.87% female). Lungs were the most affected organ (86.66%), followed by the liver (11.51%); 81.31% of patients <20 years had pulmonary CE. Most cases (45.45%) were recorded in 2025, reflecting improved record retrieval. DISCUSSION & CONCLUSION: CE persists as a major public health challenge in Afghanistan, driven by fragmented surveillance, inadequate prevention, and unequal treatment access. The high proportion of pulmonary CE and young patients highlights unique local epidemiological patterns. Addressing CE requires a multisectoral "One Health" approach integrating surveillance, community education, veterinary interventions, and expanded diagnostic/treatment capacity to break the poverty-disease cycle.

Authors

Institutions

Publication Details

Journal
PLoS neglected tropical diseases
Published
2026-05-21
DOI
https://doi.org/10.1371/journal.pntd.0014357
Primary Topic
Parasitic infections in humans and animals
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

A multicenter hospital-based analysis of cystic Echinococcosis in Afghanistan: Filling a National data gap

Ahmad Jamshid Mehrpoor, Sayed Hussain Mosawi, Saeid Fathi, Turyalai Hakimi et al.
PLoS neglected tropical diseases
Parasitic infections in humans and animals
article

A multicenter hospital-based analysis of cystic Echinococcosis in Afghanistan: Filling a National data gap

Ahmad Jamshid Mehrpoor, Sayed Hussain Mosawi, Saeid Fathi, Turyalai Hakimi, Mohammad Sayed Behrad, Bahetibieke Tuohetaerbaike, Zabihullah Adib Azizi, Li Sun, Mehdi Borhani, Mohammad Shafi Fazli, Hao Wen, Faridoon Rahmani, Paul R. Torgerson, Abdulbari Omar, Navid Balokhil, Mustafa Jamali
article en

Abstract

BACKGROUND: Cystic Echinococcosis (CE), a neglected zoonotic disease caused by Echinococcus granulosus, is highly endemic in Afghanistan due to livestock-dependent livelihoods, poor sanitation, limited healthcare access, and unregulated animal practices. Despite its substantial morbidity and economic burden, national surveillance and clinical data remain scarce. OBJECTIVE: This study aims to describe the clinical and demographic characteristics of surgically treated CE patients at five referral hospitals in Kabul, Afghanistan. The objective is to fill the gap of limited national-level data on CE, provide evidence for targeted clinical management, resource allocation, and inform the development of effective public health interventions to address this neglected disease. METHODOLOGY: This retrospective hospital based surgical case series analyzed 330 surgically treated CE patients admitted to five hospitals in Kabul (2021-2025). Data on demographics, geographic origin, affected organs, and clinical records were extracted from archived medical documents. Descriptive analysis prioritized epidemiological and clinical characterization. RESULTS: Patients (6-78 years) originated from 31 provinces, with Kabul (107 cases), Faryab (35), and Balkh (24) as top sources. No significant gender predominance was observed (52.12% male, 47.87% female). Lungs were the most affected organ (86.66%), followed by the liver (11.51%); 81.31% of patients <20 years had pulmonary CE. Most cases (45.45%) were recorded in 2025, reflecting improved record retrieval. DISCUSSION & CONCLUSION: CE persists as a major public health challenge in Afghanistan, driven by fragmented surveillance, inadequate prevention, and unequal treatment access. The high proportion of pulmonary CE and young patients highlights unique local epidemiological patterns. Addressing CE requires a multisectoral "One Health" approach integrating surveillance, community education, veterinary interventions, and expanded diagnostic/treatment capacity to break the poverty-disease cycle.

PLoS neglected tropical diseasesVol. 20(5)
Razi Vaccine and Serum Research Institute (IR), Xinjiang Medical University (CN), Kabul University (AF), University of Zurich (CH), Shaikh Zayed Hospital (PK), First Affiliated Hospital of Xinjiang Medical University (CN), Kabul University of Medical Sciences Abu Ali Ibn Sina (AF), Khost University (AF), Agricultural Research & Education Organization (IR)
No poverty
Openalex Percentile: Top 5%
Parasitic infections in humans and animals
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.