Epidemiological characteristics of clonorchiasis and factors affecting the social network of clonorchiasis in Congjiang County of Guizhou Province from a One Health perspective
10.16250/j.32.1915.2025222
- VernacularTitle:基于全健康视角的贵州省从江县华支睾吸虫病 流行特征及其社会网络影响因素
- Author:
Lu LIU
1
;
Danya SHE
2
;
Shan CAI
2
;
Chensheng ZHANG
3
;
Songping LI
4
;
Lidan LU
2
;
Xiaonong ZHOU
5
Author Information
1. National Health Commission Key Laboratory of Parasitic Disease Control and Prevention, Jiangsu Provincial Key Laboratory on Parasite and Vector Control Technology, Jiangsu Institute of Parasitic Diseases, Wuxi, Jiangsu 214064, China
2. Guizhou Provincial Center for Disease Control and Prevention, Guiyang, Guizhou 550000, China
3. National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Health Commission Key Laboratory on Parasite and Vector Biology, WHO Colloborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai 200025, China
4. Congjiang County Center for Disease Control and Prevention, Guizhou Province, China
5. National Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention (Chinese Center for Tropical Diseases Research), National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Health Commission Key Laboratory on Parasite and Vector Biology, WHO Colloborating Centre for Tropical Diseases, National Center for International Research on Tropical Diseases, Ministry of Science and Technology, Shanghai 200025, China; School of Global Health, Chinese Center for Tropical Diseases Research and Shanghai Jiao Tong University School of Medicine, Shanghai 2000025, China
- Publication Type:Journal Article
- Keywords:
Clonorchiasis;
One Health;
Epidemiological characteristic;
Influencing factor;
Social network analysis;
Food sharing;
Longjiang Village;
Dong compact community
- From:
Chinese Journal of Schistosomiasis Control
2026;38(4):379-388
- CountryChina
- Language:Chinese
-
Abstract:
Objective To investigate the epidemiological characteristics, influencing factors, and community dietary network drivers of clonorchiasis in Longjiang Village, Congjiang County, Guizhou Province using social network analysis from a One Health perspective, so as to provide insights into implementation of precision control measures. Methods Longjiang Village, Congjiang County, Guizhou Province was selected as a survey point. A total of 128 permanent residents at ages of over 6 years were sampled using a random sampling method, and subjects’ stool samples were collected. In addition, at least 10 fecal samples were collected from domestic cats and dogs, reservoir hosts of Clonorchis sinensis, and at least 80 freshwater snails and at least 200 freshwater fish, intermediate hosts of C. sinensis, were sampled in Longjiang Village. C. sinensis eggs were detected in human, domestic cat and domestic dog fecal samples using a modified Kato-Katz thick smear method (two slides for one stool sample) . The C. sinensis metacercariae were detected in freshwater fish with a compression method and the C. sinensis cercariae were detected in freshwater snails with a cercarial shedding method, respectively. Participants’ demographic characteristics, dietary and drinking hygiene behaviors and food-sharing relationships were collected with structured questionnaires and semi-structured in-depth interviews, and factors affecting C. sinensis infection were identified using regression analysis. Based on the north-south orientation delineated by the village river, participants were divided into groups a and b. Subjects’ food-sharing network was analyzed using social network analysis, and the Louvain algorithm was employed to investigate the community structure and key nodes of the network. Results The overall prevalence of C. sinensis infection was 33.59% (43/128) among participants in Longjiang Village, Congjiang County, Guizhou Province. The detection of C. sinensis metacercariae was 7.63% (22/288) in freshwater fish, and no C. sinensis cercariae were detected in freshwater snails. The prevalence of C. sinensis infection was 7.69% (1/13) in domestic cats, and no infection was detected in domestic dogs. Regression analysis identified age groups of 25 to 45 years [adjusted odds ratio (AOR) = 23.17, 95% confidence interval (CI): (1.85, 490.29)], Dong ethnicity [AOR = 26.80, 95% CI: (1.54, 1 105.09)], frequent consumption of raw water [AOR = 9.39, 95% CI: (1.58, 99.79)], and consumption of raw fish [AOR = 3.49, 95% CI: (1.52, 34.69)] as independent risk factors for C. sinensis infection among villagers in Longjiang Village (all P values < 0.05). Social network analysis showed a significantly higher global clustering coefficient (0.52 vs. 0.16; t = 2.41, P = 0.02) and average local clustering coefficient (0.52 vs. 0.16; t = 2.41, P = 0.02) in Group b than in Group a, and a significantly higher degree centrality was found among C. sinensis-infected individuals than among uninfected individuals in Group b (17.54 vs. 4.26; t = 2.33, P = 0.02). There was a high-risk community S11 with a 45.83% prevalence rate of C. sinensis infection in Group b, and C. sinensis-infected individuals with high betweenness centrality in Group b might serve as critical “bridges” in the food-sharing network, which facilitated the aggregation and diffusion of the risk of C. sinensis infection in the community. Conclusions Individual dietary behaviors, such as drinking raw water and consuming raw or undercooked fish, and sociocultural factors of household-neighborhood food-sharing networks, may contribute to the clustering transmission of clonorchiasis in Longjiang Village. The clonorchiasis control strategy is recommended to shift from individual-centered health education towards integrated interventions under a One Health framework in this region, which focus on key individuals within social networks, strengthen coordinated water and environmental management, and enhance community participation to improve the acceptability and sustainability of interventions.
