Literature DB >> 21288584

A comparison of pooled and individual bird sampling for detection of Salmonella in commercial egg laying flocks.

M E Arnold1, J J Carrique-Mas, I McLaren, R H Davies.   

Abstract

The objective of this study was to determine the sensitivity of culturing pooled samples containing varying numbers of individual droppings for detection of Salmonella in commercial egg-laying flocks relative to the within-flock prevalence. A laboratory experiment was performed to directly measure the effect of diluting positive with negative faeces on the sensitivity of detection, and thus provide priors for a Bayesian model of pooled sampling. Pooled samples made up of different numbers of individual faecal droppings were collected from 20 flocks, and in addition bulked faeces and dust were also sampled using an in-house method that involved collecting 10 dust and 10 faeces samples into jars with buffered peptone water. The results from these flocks were analysed using Bayesian methods for diagnostic test evaluation in the absence of a gold standard, and the sensitivity of each pooled sample type was estimated relative to the within-flock prevalence. The sensitivity of pooled samples depended on the within-flock prevalence, and increased as the prevalence increased. The sensitivity of pooled sampling tended to increase with the number of droppings in the pool, and overall there was a higher proportion of positive samples from the pools of 20, 60 and the in-house faeces pooling method compared to the pools of 10, 5 and the individual droppings. Dust samples were more sensitive than the faeces samples, and so the inclusion of dust in sampling schemes is recommended. Crown
Copyright © 2011. Published by Elsevier B.V. All rights reserved.

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Year:  2011        PMID: 21288584     DOI: 10.1016/j.prevetmed.2010.12.007

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


  8 in total

1.  Salmonella in Wild Birds Utilizing Protected and Human Impacted Habitats, Uganda.

Authors:  Josephine Azikuru Afema; William M Sischo
Journal:  Ecohealth       Date:  2016-08-03       Impact factor: 3.184

2.  Evaluation of the sensitivity of faecal sampling for detection of monophasic Salmonella Typhimurium and other Salmonella in cattle and pigs.

Authors:  M E Arnold; R J Gosling; F Martelli; D Mueller-Doblies; R H Davies
Journal:  Epidemiol Infect       Date:  2014-09-30       Impact factor: 4.434

3.  Detection of Unamplified E. coli O157 DNA Extracted from Large Food Samples Using a Gold Nanoparticle Colorimetric Biosensor.

Authors:  Emma Dester; Kaily Kao; Evangelyn C Alocilja
Journal:  Biosensors (Basel)       Date:  2022-04-26

4.  Spatial Distribution of Salmonella enterica in Poultry Shed Environments Observed by Intensive Longitudinal Environmental Sampling.

Authors:  Helen K Crabb; Joanne Lee Allen; Joanne Maree Devlin; Colin Reginald Wilks; James Rudkin Gilkerson
Journal:  Appl Environ Microbiol       Date:  2019-07-01       Impact factor: 4.792

5.  Estimation of the sensitivity of environmental sampling for detection of Salmonella in commercial layer flocks post-introduction of national control programmes.

Authors:  M E Arnold; F Martelli; I McLaren; R H Davies
Journal:  Epidemiol Infect       Date:  2013-09-11       Impact factor: 4.434

6.  Prevalence, antimicrobial susceptibility and risk factors associated with non-typhoidal Salmonella on Ugandan layer hen farms.

Authors:  Terence Odoch; Yngvild Wasteson; Trine L'Abée-Lund; Adrian Muwonge; Clovice Kankya; Luke Nyakarahuka; Sarah Tegule; Eystein Skjerve
Journal:  BMC Vet Res       Date:  2017-11-29       Impact factor: 2.741

Review 7.  Detection of Salmonella in Food Matrices, from Conventional Methods to Recent Aptamer-Sensing Technologies.

Authors:  Nathalie Paniel; Thierry Noguer
Journal:  Foods       Date:  2019-09-01

8.  High levels of contamination and antimicrobial-resistant non-typhoidal Salmonella serovars on pig and poultry farms in the Mekong Delta of Vietnam.

Authors:  L T P Tu; N V M Hoang; N V Cuong; J Campbell; J E Bryant; N T Hoa; B T Kiet; C Thompson; D T Duy; V V Phat; V B Hien; G Thwaites; S Baker; J J Carrique-Mas
Journal:  Epidemiol Infect       Date:  2015-03-17       Impact factor: 4.434

  8 in total

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