Literature DB >> 30935501

Prevalence of Coxiella burnetii in cattle and buffalo populations in Punjab, India.

R Keshavamurthy1, B B Singh2, D G Kalambhe1, R S Aulakh1, N K Dhand3.   

Abstract

Q fever is an important zoonosis of animal and public health significance but there is very limited information about its prevalence in the Punjab state of India. The current study was designed to estimate Q fever prevalence in cattle and buffalo populations of the state. We randomly selected 22 villages, one from each of the 22 districts of Punjab. Households in these villages were randomly selected using village voter lists to ensure representative sample collection. Blood, vaginal swab and milk samples were collected from the animals in these enrolled households. Serum samples were screened using Coxiella burnetii specific IgG ELISA whereas milk and genital swab samples were subjected to a Trans-PCR assay. The agreement (Cohan's Kappa) between shedding of C. burnetii in milk and genital secretions and between ELISA and Trans-PCR was estimated. The selected PCR products were sequenced, and phylogenetic analyses were performed. We collected 610 blood samples, 610 genital swabs and 361 milk samples from 610 bovines (378 cattle and 232 buffaloes) in 179 households. Considering all tests in parallel and after adjusting for clustering, we estimated an overall individual animal prevalence of Q fever of 7.0% (95% CI: 4.7, 9.4). There was a low agreement between shedding of C. burnetii in milk and genital secretion (kappa: 14.3%; 95% CI: 5.6, 22.9) and between ELISA and Trans-PCR (10.3%; 95% CI: 3.2, 17.4%). Phylogenetic analysis confirmed all samples to be of C. burnetii. The results suggest that the disease is present in the state and further epidemiological information should be collected to determine its zoonotic potential and its impact on animal and public health in Punjab, India.
Copyright © 2019 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Buffalo; Cattle; Coxiella burnetii; India; Prevalence; Punjab; Q fever

Mesh:

Substances:

Year:  2019        PMID: 30935501     DOI: 10.1016/j.prevetmed.2019.03.003

Source DB:  PubMed          Journal:  Prev Vet Med        ISSN: 0167-5877            Impact factor:   2.670


  7 in total

1.  Sero-detection of Coxiella burnetii infection in cattle, sheep and goats in selected regions of Nepal.

Authors:  Narayan Paudyal; Subash Poudel; Durga Pandey; Doj R Khanal
Journal:  Vet Med Sci       Date:  2021-03-01

2.  Evaluation of the sensitivity and specificity of three diagnostic tests for Coxiella burnetii infection in cattle and buffaloes in Punjab (India) using Bayesian latent class analysis.

Authors:  Eleftherios Meletis; Ravikiran Keshavamurthy; Balbir Bagicha Singh Dhaliwal; Rabinder Singh Aulakh; Navneet Dhand; Polychronis Kostoulas
Journal:  PLoS One       Date:  2022-05-05       Impact factor: 3.752

Review 3.  Molecular prevalence of Coxiella burnetii in bulk-tank milk from bovine dairy herds: Systematic review and meta-analysis.

Authors:  Ana Rabaza; Martín Fraga; Luis Gustavo Corbellini; Katy M E Turner; Franklin Riet-Correa; Mark C Eisler
Journal:  One Health       Date:  2020-12-24

4.  The first report of seroprevalence of Q fever in water buffaloes (Bubalus bubalis) in Phatthalung, Thailand.

Authors:  Kamchai Kidsin; Decha Panjai; Sumalee Boonmar
Journal:  Vet World       Date:  2021-09-29

5.  Serological Evidence of Q Fever among Dairy Cattle and Buffalo Populations in the Campania Region, Italy.

Authors:  Gianmarco Ferrara; Barbara Colitti; Ugo Pagnini; Danila D'Angelo; Giuseppe Iovane; Sergio Rosati; Serena Montagnaro
Journal:  Pathogens       Date:  2022-08-10

6.  Risk factors for Brucella spp. and Coxiella burnetii infection among small ruminants in Eastern India.

Authors:  Eithne Leahy; Rajeswari Shome; Ram Pratim Deka; Swati Sahay; Delia Grace; Stella Mazeri; Johanna F Lindahl
Journal:  Infect Ecol Epidemiol       Date:  2020-06-23

7.  Apparent prevalence and risk factors of coxiellosis (Q fever) among dairy herds in India.

Authors:  Pankaj Dhaka; Satya Veer Singh Malik; Jay Prakash Yadav; Manesh Kumar; Sukhadeo B Barbuddhe; Deepak B Rawool
Journal:  PLoS One       Date:  2020-09-15       Impact factor: 3.240

  7 in total

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