Evidence map›Paper›PMID 34237061›Full record

ArticlePLoS neglected tropical diseases2021

Smart deworming collar: A novel tool for reducing Echinococcus infection in dogs.

Shi-Jie Yang, Ning Xiao, Jing-Zhong Li, Yu Feng, Jun-Ying Ma, Gong-Sang Quzhen, Qing Yu, Ting Zhang, Shi-Cheng Yi, Zhao-Hui Luo and 8 more

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.2field-weighted citation impact, top 52% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

18 authors at 4 institutions in 2 countries.

Shi-Jie YangNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Key Laboratory of Parasite and Vector Biology, Ministry of Health; National Center for International Research on Tropical Diseases; WHO Collaborating Centre for Tropical Diseases, Shanghai, China.ORCID 0000-0003-3452-3638
Ning XiaoNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Key Laboratory of Parasite and Vector Biology, Ministry of Health; National Center for International Research on Tropical Diseases; WHO Collaborating Centre for Tropical Diseases, Shanghai, China.ORCID 0000-0001-5754-5819
Jing-Zhong LiTibet Center for Disease Control and Prevention, NHC Key Laboratory of Echinococcosis Prevention and Control, Lhasa, China.
Yu FengDepartment of Parasitic Diseases, Gansu Center for Disease Control and Prevention, Lanzhou, China.
Jun-Ying MaQinghai Institute for Endemic Disease Prevention and Control, Xining, China.ORCID 0000-0001-5124-7634
Gong-Sang QuzhenTibet Center for Disease Control and Prevention, NHC Key Laboratory of Echinococcosis Prevention and Control, Lhasa, China.
Qing YuNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Key Laboratory of Parasite and Vector Biology, Ministry of Health; National Center for International Research on Tropical Diseases; WHO Collaborating Centre for Tropical Diseases, Shanghai, China.
Ting ZhangNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Key Laboratory of Parasite and Vector Biology, Ministry of Health; National Center for International Research on Tropical Diseases; WHO Collaborating Centre for Tropical Diseases, Shanghai, China.
Shi-Cheng YiShanghai Yier Information Technology Co., Ltd, Shanghai, China.
Zhao-Hui LuoTibet Center for Disease Control and Prevention, NHC Key Laboratory of Echinococcosis Prevention and Control, Lhasa, China.
Hua-Sheng PangTibet Center for Disease Control and Prevention, NHC Key Laboratory of Echinococcosis Prevention and Control, Lhasa, China.
Chuang LiShanghai Yier Information Technology Co., Ltd, Shanghai, China.
Zhuo-Li ShenHezuo Center for Disease Control and Prevention, Hezuo city, Gansu province, China.
Ke-Sheng HouHezuo Center for Disease Control and Prevention, Hezuo city, Gansu province, China.
Bin-Bin ZhangHezuo Center for Disease Control and Prevention, Hezuo city, Gansu province, China.
Yi-Biao ZhouDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, China.
Hong-Lin JiangDepartment of Epidemiology, School of Public Health, Fudan University, Shanghai, China.
Xiao-Nong ZhouNational Institute of Parasitic Diseases, Chinese Center for Disease Control and Prevention; Key Laboratory of Parasite and Vector Biology, Ministry of Health; National Center for International Research on Tropical Diseases; WHO Collaborating Centre for Tropical Diseases, Shanghai, China.
National Institute for Parasitic Diseases · CNGansu Provincial Center for Disease Control and Prevention · CNFudan University · CNQinghai Institute for Endemic Diease Prevention and Control · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Echinococcosis is a serious zoonotic parasitic disease transmitted from canines to humans and livestock. Periodic deworming is recommended by the WHO/OIE as a highly effective measure against echinococcosis. However, manual deworming involves significant challenges, particularly in remote areas with scarce resources. The insufficient awareness delivering praziquantel (PZQ) baits for dogs leads to low compliance rate. The aim of this study was therefore to develop a novel smart collar for dogs to address these challenges. We developed a smart Internet of Things (IoT)-based deworming collar which can deliver PZQ baits for dogs automatically, regularly, quantitatively with predominant characteristics of being waterproof, anti-collision, cold-proof and long life battery. Its performance was tested in two remote locations on the Tibetan Plateau. A cross-sectional survey was conducted to evaluate the compliance of the dog owners. Further, a randomized controlled study was performed to evaluate the difference between smart-collar deworming and manual deworming. The collar's effectiveness was further assessed on the basis of Generalized Estimation Equations (GEE). The testing and evaluation was done for 10 smart deworming collars in factory laboratory, 18 collars attached for 18 dogs in Seni district, Tibet Autonomous Region, China, and 523 collars attached for 523 dogs in Hezuo city, Gansu province, China. The anti-collision, waterproof, and coldproof proportion of the smart collars were 100.0%, 99.5%, and 100.0%, respectively. When compared to manual deworming, the dogs' risk of infection with Echinococcus on smart-collar deworming is down to 0.182 times (95% CI: 0.049, 0.684) in Seni district and 0.355 (95%CI: 0.178, 0.706) in Hezuo city, the smart collar has a significant protective effect. The owners' overall compliance rate to attach the smart collars for their dogs was 89%. The smart deworming collar could effectively reduce the dogs' risk of infection with Echinococcus in dogs, significantly increase the deworming frequency and coverage and rapidly remove worm biomass in dogs. Thus, it may be a promising alternative to manual deworming, particularly in remote areas on the Tibetan Plateau.

Indexed as

AnimalsAnthelminticsChinaCross-Sectional StudiesDog DiseasesDogsEchinococcosisEchinococcusFemaleMalePraziquantelTibetAnthelminticsPraziquantel

Identifiers

PMID34237061
PMCPMC8266112
OpenAlexW3182267173

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.