Evaluating the Status of Schistosomiasis in Awgu Local Government Area

This study aimed to evaluate the prevalence of schistosomiasis in Awgu Local Government Area of Enugu State and assess the effectiveness of control strategies implemented in the region. The research focused on factors such as sex, age, socioeconomic status, occupation, and the efficiency of district health center workers in managing the disease. A total of 600 pupils from various towns were examined for schistosomiasis, and the results indicated variations in the disease's incidence among different locations. The findings revealed that Ihe town had the highest percentage of affected population, while Ezere town had the lowest. Farmers were identified as the most vulnerable occupational group, and females in the early age bracket showed higher susceptibility to the disease. District health care workers demonstrated efficiency in handling schistosomiasis cases, as evidenced by a low number of reported deaths. However, the study did not provide specific recommendations for controlling the prevalence of schistosomiasis in Awgu local government. The study highlighted the importance of implementing effective control measures to reduce the incidence of schistosomiasis in the area. Future interventions should focus on improving access to clean water sources, promoting hygienic practices, and providing targeted interventions for high-risk occupational groups. The research contributes to our understanding of schistosomiasis in Awgu local government area and emphasizes the need for continued efforts to prevent and control the disease. By addressing the identified risk factors and improving healthcare interventions, it is possible to mitigate the impact of schistosomiasis and improve the health outcomes of the affected population in the region.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-11
DOI
https://doi.org/10.5281/zenodo.15192892
Primary Topic
Inflammation biomarkers and pathways
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Evaluating the Status of Schistosomiasis in Awgu Local Government Area

Zenodo (CERN European Organization for Nuclear Research)
Inflammation biomarkers and pathways
article

Evaluating the Status of Schistosomiasis in Awgu Local Government Area

article en

Abstract

This study aimed to evaluate the prevalence of schistosomiasis in Awgu Local Government Area of Enugu State and assess the effectiveness of control strategies implemented in the region. The research focused on factors such as sex, age, socioeconomic status, occupation, and the efficiency of district health center workers in managing the disease. A total of 600 pupils from various towns were examined for schistosomiasis, and the results indicated variations in the disease's incidence among different locations. The findings revealed that Ihe town had the highest percentage of affected population, while Ezere town had the lowest. Farmers were identified as the most vulnerable occupational group, and females in the early age bracket showed higher susceptibility to the disease. District health care workers demonstrated efficiency in handling schistosomiasis cases, as evidenced by a low number of reported deaths. However, the study did not provide specific recommendations for controlling the prevalence of schistosomiasis in Awgu local government. The study highlighted the importance of implementing effective control measures to reduce the incidence of schistosomiasis in the area. Future interventions should focus on improving access to clean water sources, promoting hygienic practices, and providing targeted interventions for high-risk occupational groups. The research contributes to our understanding of schistosomiasis in Awgu local government area and emphasizes the need for continued efforts to prevent and control the disease. By addressing the identified risk factors and improving healthcare interventions, it is possible to mitigate the impact of schistosomiasis and improve the health outcomes of the affected population in the region.

Zenodo (CERN European Organization for Nuclear Research)
Clean water and sanitation
Openalex Percentile: Top 50%
Inflammation biomarkers and pathways
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.