Evidence map›Paper›PMID 41872962›Full record

ArticleParasites & vectors2026

Assessment of environmental contamination with Echinococcus spp. through DNA detection in free-roaming canid feces and soil in human echinococcosis hotspots from the Three-River-Source Region of the Qinghai-Tibet Plateau, China.

Xueyong Zhang, Zhi Li, Yong Fu, Yijuan Ma, Xiuying Shen, Hong Duo, Zhihong Guo, Yadong Zheng, Yingna Jian

Abstract read
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Article in Parasites & vectors, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Xueyong ZhangThe Academy of Animal and Veterinary Sciences, Qinghai University, Qinghai Provincial Key Laboratory of Pathogen Diagnosis for Animal Disease and Green Technical Research for Prevention and Control, Xining, 810016, Qinghai, China. zhang_xyong@163.com.
Zhi LiThe Academy of Animal and Veterinary Sciences, Qinghai University, Qinghai Provincial Key Laboratory of Pathogen Diagnosis for Animal Disease and Green Technical Research for Prevention and Control, Xining, 810016, Qinghai, China.
Yong FuThe Academy of Animal and Veterinary Sciences, Qinghai University, Qinghai Provincial Key Laboratory of Pathogen Diagnosis for Animal Disease and Green Technical Research for Prevention and Control, Xining, 810016, Qinghai, China.
Yijuan MaThe Academy of Animal and Veterinary Sciences, Qinghai University, Qinghai Provincial Key Laboratory of Pathogen Diagnosis for Animal Disease and Green Technical Research for Prevention and Control, Xining, 810016, Qinghai, China.
Xiuying ShenThe Academy of Animal and Veterinary Sciences, Qinghai University, Qinghai Provincial Key Laboratory of Pathogen Diagnosis for Animal Disease and Green Technical Research for Prevention and Control, Xining, 810016, Qinghai, China.
Hong DuoThe Academy of Animal and Veterinary Sciences, Qinghai University, Qinghai Provincial Key Laboratory of Pathogen Diagnosis for Animal Disease and Green Technical Research for Prevention and Control, Xining, 810016, Qinghai, China.
Zhihong GuoThe Academy of Animal and Veterinary Sciences, Qinghai University, Qinghai Provincial Key Laboratory of Pathogen Diagnosis for Animal Disease and Green Technical Research for Prevention and Control, Xining, 810016, Qinghai, China.
Yadong ZhengKey Laboratory of Applied Technology on Green-Eco-Healthy Animal Husbandry of Zhejiang Province, Zhejiang Provincial Engineering Laboratory for Animal Health Inspection and Internet Technology, Zhejiang International Science and Technology Cooperation Base for Veterinary Medicine and Health Management, Belt and Road International Joint Laboratory for One Health and Food Safety, College of Animal Science and Technology and College of Veterinary Medicine of Zhejiang A&F University, Hangzhou, 311300, Zhejiang, China. zhengyadong@zafu.edu.cn.
Yingna JianThe Academy of Animal and Veterinary Sciences, Qinghai University, Qinghai Provincial Key Laboratory of Pathogen Diagnosis for Animal Disease and Green Technical Research for Prevention and Control, Xining, 810016, Qinghai, China. jiangyingna1127@163.com.

Funding

Base and Talent Project of the Department of Science and Technology of the Tibet Autonomous Region XZ202401JD0012Ministry of Science and Technology, National Key Research and Development Program 2022YFE0108100National Natural Science Foundation of China 31860700Qinghai Province "Kunlun Talents ⋅ Highend Innovation and Entrepreneurial Talents" Top Talent Project 2022
6 · The paper itself

Abstract

backgroundThe Three-River-Source Region of the Qinghai-Tibet Plateau is a hyperendemic focus for echinococcosis, with Echinococcus granulosus, E. multilocularis, and E. shiquicus circulating between definitive canid hosts (dogs and foxes) and intermediate hosts (livestock and rodents). However, the extent of environmental contamination by Echinococcus eggs remains understudied and poses significant risks to human and animal health.

methodsFrom 2019 to 2021, we collected 631 canid fecal samples (296 from dogs and 335 from foxes) and 398 adjacent soil samples across endemic counties in the Three-River-Source Region of the Qinghai-Tibet Plateau. Multiplex real-time PCR was employed to detect Echinococcus species DNA in feces and soil samples.

resultsThe overall Echinococcus prevalence in canid feces was 7.13% (45/631), with 3.01% in E. multilocularis (19/631), 2.06% in E. granulosus (13/631), and 2.06% in E. shiquicus (13/631). Foxes presented increased E. multilocularis (3.88%, 13/335) and E. shiquicus (2.69%, 9/335) infections, whereas dogs presented increased E. granulosus prevalence (2.70%, 8/296). Soil contamination with Echinococcus species was detected in 2.51% (10/398) of the samples. The primary contaminants were E. multilocularis and E. shiquicus (1.01% each, 4/398), whereas E. granulosus was less frequent (0.50%, 2/398). Moreover, the soil near fox feces was contaminated with both E. multilocularis and E. shiquicus, whereas the dog-associated soil was contaminated with all three species.

conclusionsThis study suggests widespread environmental deposition of Echinococcus eggs on the Qinghai-Tibet Plateau, driven by canid defecation. If these eggs remain viable, their persistence in soil would indicate a potential zoonotic transmission risk, highlighting the need for integrated control strategies targeting both domestic and wild canids.

Indexed as

DNA, HelminthEchinococcosisEchinococcusEnvironmental PollutionFecesSoilAnimalsChinaDogsEchinococcus granulosusEchinococcus multilocularisFoxesHumansPrevalenceRiversTibetDNA, HelminthSoilEchinococcus spp.Environmental contaminationReal-time PCRSoil and feces samplesThree-River-Source Region of the Qinghai-Tibet Plateau

Identifiers

PMID41872962
PMCPMC13130420

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.