中国寄生虫学与寄生虫病杂志 ›› 2025, Vol. 43 ›› Issue (6): 862-865.doi: 10.12140/j.issn.1000-7423.2025.06.017

• 研究简报 • 上一篇    下一篇

犬智能管理系统的开发及其在棘球蚴病控制中的应用

游锡火1,2()(), 宋永武3, 多杰仁青3, 辛有宏3, 才让周在3, 切德力4, 郭霞3, 范兴业3, 岳红3, 张琴琴3, 徐彬3, 谢银禄5, 张文宝6, 曾徐浩2, 陈旺开2, 皇甫留生2, 李伟2, 黄福强7,*()()   

  1. 1 武汉纺织大学,湖北 武汉 430200
    2 中农华威制药股份有限公司,湖北 黄冈 435300
    3 青海省刚察县畜牧兽医站,青海 刚察 812300
    4 青海省刚察县农畜产品质量安全检验检测中心,青海 海北 812300
    5 青海省格尔木市畜牧兽医站,青海 格尔木 816000
    6 新疆医科大学第一附属人民医院,新疆 乌鲁木齐 830054
    7 佛山大学,广东 佛山 528225
  • 收稿日期:2025-04-21 修回日期:2025-09-15 出版日期:2025-12-30 发布日期:2025-12-23
  • 通讯作者: *黄福强(ORCID:0000-0002-3613-2350),男,博士,副教授,从事人兽共患寄生虫病研究。E-mail:qxhuangfuqiang@163.com
  • 作者简介:游锡火(ORCID:0009-0006-0851-9001),男,博士,教授,从事人兽共患病、天然产物开发及药物经济学研究。E-mail:2893579340@qq.com
  • 基金资助:
    “十四五”国家重点研发计划项目《包虫病等5类寄生虫病防控模式创新和示范》(2023YFD1801205)

Development of an intelligent canine management system and its application in echinococcosis control

YOU Xihuo1,2()(), SONG Yongwu3, DUOJIE Renqing3, XIN Youhong3, CAIRANG Zhouzai3, QIE Deli4, GUO Xia3, FAN Xingye3, YUE Hong3, ZHANG Qinqin3, XU Bin3, XIE Yinlu5, ZHANG Wenbao6, ZENG Xuhao2, CHEN Wangkai2, HUANGFU Liusheng2, LI Wei2, HUANG Fuqiang7,*()()   

  1. 1 Wuhan Textile University, Wuhan 430200, Hubei, China
    2 Profile of Agrichina Pharmaceutical Co., Ltd. Huanggang 435300, Hubei, China
    3 Gangcha Animal Husbandry and Veterinary Station in Qinghai, Gangcha 812300, Qinghai, China
    4 Gangcha County Agricultural and Livestock Products Quality and Safety Inspection and Testing Center in Qinghai, Haibei 812300, Qinghai, China
    5 Golmud Animal Husbandry and Veterinary Station in Qinghai, Golmud 816000, Qinghai, China
    6 The First Affiliated Hospital of Xinjiang Medical University, Urumqi 830054, Xinjiang, China
    7 Foshan University, Foshan 528225, Guangdong, China
  • Received:2025-04-21 Revised:2025-09-15 Online:2025-12-30 Published:2025-12-23
  • Contact: *E-mail:qxhuangfuqiang@163.com
  • Supported by:
    National Key Research and Development Program of China(2023YFD1801205)

摘要:

为提升棘球蚴病防控效果,试验设计集成网络技术、智能药盒及云端管理平台的犬智能管理系统,并于2022年7月和2023年6月分别在青海省刚察县沙柳河镇和哈尔盖镇开展应用示范。智能药盒投用2个月后,沙柳河镇犬粪棘球绦虫阳性率从6.25%(2/32)降至0(0/36),投用16个月后阳性率仍为0(0/36)(Fisher精确检验,P > 0.05)。哈尔盖镇药盒投放2个月后阳性率从9.10%(5/55)降至2.00%(1/50)(Fisher精确检验,P > 0.05);之后7个月每月采集50份粪样,均未发现阳性粪样(Fisher精确检验,P < 0.01)。表明该系统通过自动化投药提醒与粪便监测功能,有效解决了传统防控中犬只管理困难、投药依从性差等问题,显著提升了驱虫治疗的及时性与规范性,大幅降低防疫人员工作强度。本研究开发了犬智能管理系统,并验证评估其棘球蚴病精准防控中的应用效果,为寄生虫病防控提供了创新性解决方案。

关键词: 棘球蚴病, 犬智能管理系统, 投药监测, 物联网技术, 云端管理平台

Abstract:

To improve the echinococcosis control effectiveness, an intelligent canine management system integrating network technology, smart medication box, and a cloud management platform was designed, and applied in Shaliuhe Town and Haergai Town, Gangcha County, Qinghai Province in July 2022 and June 2023, respectively. The positive rate of Echinococcus infection decreased from 6.25% (2/32) to 0 (0/36) in dog stool samples in Shaliuhe Town following 2 months of deployment of the smart medication box, and remained at 0 (0/36) after 16 months (Fisher’s exact test, P > 0.05). The positive rate of Echinococcus infection decreased from reduced from 9.10% (5/55) to 2.00% (1/50) in dog stool samples in Haergai Town following 2 months of deployment of the smart medication box (Fisher’s exact test, P > 0.05), and then, 50 dog stool samples were collected each month for seven months, with no positive samples detected (Fisher’s exact test, P < 0.01). These findings demonstrate that the system effectively solves the problems of a difficulty in dog management and a low compliance to medication deployment, remarkably improves the timeliness and standardization of deworming and significantly reduces workload of disease control personnels via release of reminders of automate medication and stool monitoring functions. The study developed a dog intelligent management system and validated its application effectiveness in precise prevention and control of echinococcosis, providing innovative solutions for parasitic disease prevention and control.

Key words: Echinococcosis, Intelligent canine management system, Medication monitoring, Internet of things technology, Cloud management platform

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