Practice and evaluation of constructing a schistosomiasis surveillance and early warning system in elimination areas based on the One Health concept

doi:10.12140/j.issn.1000-7423.2026.03.014

Abstract

Abstract:

Objective To explore the application architecture and effectiveness of implementation of an intelligent surveillance and early warning system for schistosomiasis based on the One Health concept in elimination areas, so as to provide insights into consolidation of schistosomiasis elimination achievements in similar areas. Methods The organizational structure of government-led and multi-sectoral collaborative surveillance and early warning for schistosomiasis was established in Changshan County, Zhejiang Province in 2024, and an intelligent surveillance and early warning system for schistosomiasis was run for integrated surveillance and early warning of human-animal-environment, which was consisted of four modules, including active surveillance of humans, surveillance of hospital visits, surveillance of host animals, and snail surveillance. Multi-source surveillance data were collected from the system from 2024 to 2025, and compared with historical baseline data. A total of indicators from 5 categories were collected, including transmission route, source of infection, control capability, population vulnerability, and natural factors, and the risk ranking of 10 administrative villages was calculated to evaluate the effectiveness in risk identification, early warning and response, and control measures. Results An intelligent multi-point triggered, government-led, multisector-coordinated, data-shared and intelligent-analyzed surveillance and early warning system for schistosomiasis was successfully established in Changshan County, which achieved all-weather, automated surveillance and data aggregation of human, livestock, host animals, snails, environments, and factors of imported risk. A total of 154 000 pieces of data pertaining to integration of medical services and prevention were automatically collected by the system, and a total of 25 303 person-time high-risk populations were screened. The time of early warning and response reduced by a mean period of 3 days compared to traditional modes, and the mean duration from data triggered to early warning information sent to administrators was shortened within 8 h. The efficiency of precise snail control increased by approximately 40% in key settings, and the coverage rate of livestock surveillance was 96.7%. A total of 11 imported risk events received successful early warning and response. Of 10 administrative villages, 4 had schistosomiasis transmission risk ranking of higher than 0.2, 5 between 0.1 and 0.2, and 1 below 0.1. Conclusion The intelligent surveillance and early warning system for schistosomiasis based on the One Health concept may effective integrate fragmented information and significantly enhance the capabilities of early detection, rapid assessment, and precise interventions for imported and re-emerging risks of schistosomiasis in elimination areas, which is an indispensable choice and a powerful tool for achieving and sustaining elimination.

Key words: Schistosomiasis, One Health, Surveillance and early warning, Elimination area, Intelligent, Changshan County

CLC Number:

R532.21

XU Qinghua, FAN Haixiao, YANG Tao. Practice and evaluation of constructing a schistosomiasis surveillance and early warning system in elimination areas based on the One Health concept[J]. CHINESE JOURNAL OF PARASITOLOGY AND PARASITIC DISEASES, 2026, 44(3): 408-412.

Figures/Tables 1

References 21

[1]	Toledo R, Fried B. Digenetic trematodes, advances in experimental medicine and biology[M]. New York: Springer, 2019: 1-648.
[2]	Sheehy C, Lawson H, Andriamasy EH, et al. Prevalence of intestinal schistosomiasis in pre-school aged children: a pilot survey in Marolambo District, Madagascar[J]. Infect Dis Poverty, 2021, 10(1): 87.
[3]	Ojo JA, Adedokun SA, Akindele AA, et al. Prevalence of urogenital and intestinal schistosomiasis among school children in South-west Nigeria[J]. PLoS Negl Trop Dis, 2021, 15(7): e0009628.
[4]	Hu Y, Li S, Xia CC, et al. Assessment of the national schistosomiasis control program in a typical region along the Yangtze River, China[J]. Int J Parasitol, 2017, 47(1): 21-29.
[5]	何君逸, 张利娟, 杨帆, 等. 2024年全国血吸虫病防治进展[J]. 中国血吸虫病防治杂志(中英文), 2025, 37(3): 223-231.
	He JY, Zhang LJ, Yang F, et al. Progress of schistosomiasis control in the people’s republic of China in 2024[J]. Chin J Schisto Control, 2025, 37(3): 223-231. (in Chinese)
[6]	周晓农. 以全健康理念推进人兽共患病预防与控制[J]. 中国寄生虫学与寄生虫病杂志, 2022, 40(1): 12-19.
	Zhou XN. Advancing the prevention and control of zoonoses supported by One Health approach[J]. Chin J Parasitol Parasit Dis, 2022, 40(1): 12-19. (in Chinese)
[7]	陈木新, 田添, 洪炀, 等. 我国全健康理论与实践: 历史、现状与未来[J]. 中国人兽共患病学报, 2025, 41(5): 447-455.
	Chen MX, Tian T, Hong Y, et al. One Health theory and practice in China: history, present and future[J]. Chin J Zoonoses, 2025, 41(5): 447-455. (in Chinese)
[8]	徐青华, 杨涛. 常山县血吸虫病综合治理策略及工作回顾[J]. 预防医学, 2025, 37(2): 212-216.
	Xu QH, Yang T. Comprehensive control strategy and practice on schistosomiasis in Changshan County[J]. China Prev Med J, 2025, 37(2): 212-216. (in Chinese)
[9]	张剑锋, 严晓岚, 闻礼永, 等. 1996—2017年浙江省输入性血吸虫病病例的流行病学调查分析[J]. 中国寄生虫学与寄生虫病杂志, 2018, 36(6): 586-592.
	Zhang JF, Yan XL, Wen LY, et al. Epidemiological analysis on the imported cases of schistosomiasis in Zhejiang Province during 1996-2017[J]. Chin J Parasitol Parasit Dis, 2018, 36(6): 586-592. (in Chinese)
[10]	李慧敏, 刘婧姝, 王希涵, 等. 基于全健康理念的新发传染病综合监测预警体系: 结构与创新[J]. 中国寄生虫学与寄生虫病杂志, 2022, 40(5): 572-578.
	Li HM, Liu JS, Wang XH, et al. Integrated surveillance and early warning system for emerging infectious diseases based on One Health concept: structures and innovations[J]. Chin J Parasitol Parasit Dis, 2022, 40(5): 572-578. (in Chinese)
[11]	费思伟, 许婧姗, 吕山, 等. 全健康: 人兽共患病防控的新思考[J]. 中国血吸虫病防治杂志, 2022, 34(1): 1-6.
	Fei S W, Xu J S, Lyu S, et al. One Health: a new perspective on the prevention and control of zoonoses[J]. Chin J Schisto Control, 2022, 34(1): 1-6.
[12]	左玉婷, 徐明星, 李洋, 等. 基于层次分析法构建武汉市血吸虫病传播风险评估体系[J]. 中国血吸虫病防治杂志, 2023, 35(4): 374-378.
	Zuo YT, Xu MX, Li Y, et al. Construction of a schistosomiasis transmission risk assessment system in Wuhan City based on analytic hierarchy process[J]. Chin J Schisto Control, 2023, 35(4): 374-378. (in Chinese)
[13]	周晓农, 朱泽林, 涂宏, 等. 《加快实现消除血吸虫病目标行动方案(2023—2030年)》解读[J]. 中国血吸虫病防治杂志, 2024, 36(1): 7-12.
	Zhou XN, Zhu ZL, Tu H, et al. Interpretation of the action plan to accelerate the elimination of schistosomiasis in China(2023—2030)[J]. Chin J Schisto Control, 2024, 36(1): 7-12. (in Chinese)
[14]	Destoumieux-Garzón D, Mavingui P, Boetsch G, et al. The one health concept: 10 years old and a long road ahead[J]. Front Vet Sci, 2018, 5: 14.
[15]	谢红莉, 卢丹萍, 高扬. 从理念到实践: 全健康在我国基层的落地困境与机制创新[J]. 中国寄生虫学与寄生虫病杂志, 2026, 44(1): 102-109.
	Xie HL, Lu DP, Gao Y. From concept to practice: dilemmas and mechanism innovations in the implementation of One Health at the grassroots level in China[J]. Chin J Parasitol Parasit Dis, 2026, 44(1): 102-109. (in Chinese)
[16]	国家疾控局, 国家卫生健康委, 国家发展改革委, 等. 关于印发《关于建立健全智慧化多点触发传染病监测预警体系的指导意见》的通知[EB/OL]. (2024-08-23)[2025-10-16]. https//www.gov.cn/zhengce/content/202312/cont ent_6922483.htm.
	National Disease Control and Prevention Administration, National Health Commission, National Development and Reform Commission, et al. Notice on Issuing the “Guiding Opinions on Establishing and Improving a Smart Multi-point Trigger Infectious Disease Surveillance and Early Warning System”[EB/OL]. (2024-08-23) [2025-10-16]. https://www.gov.cn/zhengce/content/202312/content_6922483.htm.
[17]	李新祥, 王萍, 李冰, 等. 2008—2018年江山市血吸虫病疫情分析[J]. 中国血吸虫病防治杂志, 2020, 32(1): 103-105.
	Li XX, Wang P, Li B, et al. Endemic situation of schistosomiasis in Jiangshan City from 2008 to 2018[J]. Chin J Schisto Control, 2020, 32(1): 103-105. (in Chinese)
[18]	施倩雯, 沈玲娥, 周靖, 等. 2010—2020年苏州市血吸虫病疫情分析[J]. 中国血吸虫病防治杂志, 2022, 34(4): 412-416.
	Shi QW, Shen LE, Zhou J, et al. Endemic situation of schistosomiasis in Suzhou City from 2010 to 2020[J]. Chin J Schisto Control, 2022, 34(4): 412-416. (in Chinese)
[19]	刘荭, 杨楠, 付海滨. 基于环境DNA技术的水体血吸虫尾蚴检测方法优化[J]. 中国寄生虫学与寄生虫病杂志, 2023, 41(3): 278-285.
	Liu H, Yang N, Fu HB. Optimization of environmental DNAbased detection methods for Schistosoma cercariae in water[J]. Chin J Parasitol Parasit Dis, 2023, 41(3): 278-285.
[20]	杨力凤, 杨楠, 付海滨, 等. 环境DNA技术在生物入侵研究中的应用进展[J]. 植物保护学报, 2023, 50(1): 1-10.
	Yang LF, Yang N, Fu HB, et al. Research advances in the application of environmental DNA (eDNA) technique in biological invasions[J]. J Plant Prot, 2023, 50(1): 1-10. (in Chinese)
[21]	张靖雯. 基于环境DNA的两栖动物多样性监测方法学研究[D]. 南京: 南京大学, 2021.
	Zhang JW. Methodology of amphibian diversity monitoring based on environmental DNA[D]. Nanjing: Nanjing University, 2021. (in Chinese)

监测年份 Year of surveillance	人群监测 Population surveillance		家畜筛查 Livestock screening	动物监测 Animal surveillance		钉螺调查 Snail survey	钉螺监测 Snail surveillance		环境DNA 阳性点数 No. points positive for eDNA
监测年份 Year of surveillance	人数 No. case	血清阳性数/粪检阳性数 No. seropositives/No. egg-positives	头数（阳性数） No. case (positive)	野鼠数（阳性数） No. wild mice (positive)	野粪数（阳性数） No. wild feces (positive)	调查面积（有螺面积）/hm² Survey area (area of snail habitats)/hm²	解剖数（阳性数） No. dissected (positive)	检测数（阳性数） No. detections (positive)	环境DNA 阳性点数 No. points positive for eDNA
2024	12 652	88/0	405（0）	87（0）	100（0）	423.50（1.75）	2 044（0）	1 736（0）	0
2025	12 651	143/0	220（0）	38（0）	100（0）	423.50（1.74）	2 275（0）	4 920（0）	0
合计 Total	25 303	231/0	625（0）	125（0）	200（0）	847.00（3.49）	4 319（0）	6 656（0）	0