Estimating the prevalence of Echinococcus in domestic dogs in highly endemic for echinococcosis

Autor: Cong-Nuan Liu, Yang-Yang Xu, Angela M. Cadavid-Restrepo, Zhong-Zi Lou, Hong-Bin Yan, Li Li, Bao-Quan Fu, Darren J. Gray, Archie A. Clements, Tamsin S. Barnes, Gail M. Williams, Wan-Zhong Jia, Donald P. McManus, Yu-Rong Yang
Jazyk: angličtina
Rok vydání: 2018
Předmět:
Zdroj: Infectious Diseases of Poverty, Vol 7, Iss 1, Pp 1-9 (2018)
Druh dokumentu: article
ISSN: 2049-9957
DOI: 10.1186/s40249-018-0458-8
Popis: Abstract Background Cystic echinococcosis (CE) and alveolar echinococcosis (AE) are highly endemic in Xiji County of Ningxia Hui Autonomous Region (NHAR) in China where the control campaign based on dog de-worming with praziquantel has been undertaken over preceding decades. This study is to determine the current prevalence of Echinococcus granulosus and E. multilocularis in domestic dogs and monitor the echinococcosis transmission dynamics. Methods Study villages were selected using landscape patterns (Geographic Information System, GIS) for Echinococcus transmission “hot spots”, combined with hospital records identifying risk areas for AE and CE. A survey of 750 domestic dogs, including copro-sampling and owner questionnaires, from 25 selected villages, was undertaken in 2012. A copro-multiplex PCR assay was used for the specific diagnosis of E. granulosus and E. multilocularis in the dogs. Data analysis, using IBM SPSS Statistics, was undertaken, to compare the prevalence of the two Echinococcus spp. in dogs between four geographical areas of Xiji by the χ 2 test. Univariate analysis of the combinations of outcomes from the questionnaire and copro-PCR assay data was carried out to determine the significant risk factors for dog infection. Results The highest de-worming rate of 84.0% was found in the northwest area of Xiji County, and significant differences (P 0.05) in the prevalence of E. granulosus in dogs from the northwest, southwest, northeast, and southeast of Xiji, but there were significant differences (P
Databáze: Directory of Open Access Journals
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