Literature DB >> 24105379

Bayesian estimation of the sensitivity and specificity of individual fecal culture and Paralisa to detect Mycobacterium avium subspecies paratuberculosis infection in young farmed deer.

Lesley A Stringer1, Geoff Jones, Chris P Jewell, Alasdair D Noble, Cord Heuer, Peter R Wilson, Wesley O Johnson.   

Abstract

A Bayesian latent class model was used to estimate the sensitivity and specificity of an immunoglobulin G1 serum enzyme-linked immunosorbent assay (Paralisa) and individual fecal culture to detect young deer infected with Mycobacterium avium subsp. paratuberculosis. Paired fecal and serum samples were collected, between July 2009 and April 2010, from 20 individual yearling (12-24-month-old) deer in each of 20 South Island and 18 North Island herds in New Zealand and subjected to culture and Paralisa, respectively. Two fecal samples and 16 serum samples from 356 North Island deer, and 55 fecal and 37 serum samples from 401 South Island deer, were positive. The estimate of individual fecal culture sensitivity was 77% (95% credible interval [CI] = 61-92%) with specificity of 99% (95% CI = 98-99.7%). The Paralisa sensitivity estimate was 19% (95% CI = 10-30%), with specificity of 94% (95% CI = 93-96%). All estimates were robust to variation of priors and assumptions tested in a sensitivity analysis. The data informs the use of the tests in determining infection status at the individual and herd level.

Entities:  

Keywords:  Bayesian analysis; deer; paratuberculosis; sensitivity; specificity

Mesh:

Substances:

Year:  2013        PMID: 24105379     DOI: 10.1177/1040638713505587

Source DB:  PubMed          Journal:  J Vet Diagn Invest        ISSN: 1040-6387            Impact factor:   1.279


  4 in total

1.  Evaluation of fecal culture and fecal RT-PCR to detect Mycobacterium avium ssp. paratuberculosis fecal shedding in dairy goats and dairy sheep using latent class Bayesian modeling.

Authors:  Cathy A Bauman; Andria Jones-Bitton; Jocelyn Jansen; David Kelton; Paula Menzies
Journal:  BMC Vet Res       Date:  2016-09-20       Impact factor: 2.741

2.  Interpreting ambiguous 'trace' results in Schistosoma mansoni CCA Tests: Estimating sensitivity and specificity of ambiguous results with no gold standard.

Authors:  Michelle N Clements; Christl A Donnelly; Alan Fenwick; Narcis B Kabatereine; Sarah C L Knowles; Aboulaye Meité; Eliézer K N'Goran; Yolisa Nalule; Sarah Nogaro; Anna E Phillips; Edridah Muheki Tukahebwa; Fiona M Fleming
Journal:  PLoS Negl Trop Dis       Date:  2017-12-08

3.  Inferring biomarkers for Mycobacterium avium subsp. paratuberculosis infection and disease progression in cattle using experimental data.

Authors:  Gesham Magombedze; Tinevimbo Shiri; Shigetoshi Eda; Judy R Stabel
Journal:  Sci Rep       Date:  2017-03-20       Impact factor: 4.379

4.  Latent class analysis to evaluate performance of point-of-care CCA for low-intensity Schistosoma mansoni infections in Burundi.

Authors:  Michelle N Clements; Paul L A M Corstjens; Sue Binder; Carl H Campbell; Claudia J de Dood; Alan Fenwick; Wendy Harrison; Donatien Kayugi; Charles H King; Dieuwke Kornelis; Onesime Ndayishimiye; Giuseppina Ortu; Mariama Sani Lamine; Antonio Zivieri; Daniel G Colley; Govert J van Dam
Journal:  Parasit Vectors       Date:  2018-02-23       Impact factor: 3.876

  4 in total

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