Literature DB >> 26272435

Within- and between-herd prevalence variation of Mycobacterium avium subsp. paratuberculosis infection among control programme herds in Denmark (2011-2013).

Cristobal Verdugo1, Nils Toft2, Søren Saxmose Nielsen3.   

Abstract

This study aimed to estimate the between- (HTP) and within- (TP) herd true prevalence distribution of Mycobacterium avium subsp. paratuberculosis (MAP) infection in dairy cattle herds participating in the Danish MAP control programme. All herds enrolled in the programme between 2011 and 2013 were included in the analysis, and one annual milk-ELISA test of all lactating cows present in such herds was considered. A Bayesian latent class model was used to obtain HTP and TP posterior distributions for each year. The model adjusts for uncertainty in age-specific test sensitivity and prior prevalence estimates. Bayesian posterior probabilities were computed in order to compare prevalence between the years. A total of 665,700 samples were included in the study, from 221,914, 224,040, and 220,466 cows sourced from 1138, 1112, and 1059 herds in years 2011, 2012, and 2013, respectively. In that period, HTP estimates of 0.92 (95% posterior probability interval (PPI), 0.87-0.96), 0.78 (95% PPI, 0.74-0.83), and 0.75 (95% PPI, 0.71-0.78) were recorded, respectively. Low TP were observed, with population mean estimates of 0.08 (95% PPI, 0.07-0.08), 0.07 (95% PPI, 0.07-0.08), and 0.07 (95% PPI, 0.06-0.07) for the three consecutive years. Statistically-important differences were recorded for HTP and population mean TP estimates between years, indicating a trend for a decreasing level of MAP infection at both herd and animal level. Model results showed that MAP infection was widespread among the Dairy cattle herds participating in the Danish control programme, though in general it was kept at very low levels.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Bayesian inference; Control programme; Mycobacterium avium subsp. paratuberculosis; Prevalence

Mesh:

Year:  2015        PMID: 26272435     DOI: 10.1016/j.prevetmed.2015.07.012

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


  6 in total

1.  Simulating the Epidemiological and Economic Impact of Paratuberculosis Control Actions in Dairy Cattle.

Authors:  Carsten Kirkeby; Kaare Græsbøll; Søren Saxmose Nielsen; Lasse E Christiansen; Nils Toft; Erik Rattenborg; Tariq Halasa
Journal:  Front Vet Sci       Date:  2016-10-10

2.  Adaptive Test Schemes for Control of Paratuberculosis in Dairy Cows.

Authors:  Carsten Kirkeby; Kaare Græsbøll; Søren Saxmose Nielsen; Lasse Engbo Christiansen; Nils Toft; Tariq Halasa
Journal:  PLoS One       Date:  2016-12-01       Impact factor: 3.240

3.  Epidemiological and economic consequences of purchasing livestock infected with Mycobacterium avium subsp. paratuberculosis.

Authors:  Carsten Kirkeby; Kaare Græsbøll; Søren Saxmose Nielsen; Nils Toft; Tariq Halasa
Journal:  BMC Vet Res       Date:  2017-06-27       Impact factor: 2.741

4.  Use of an Individual-based Model to Control Transmission Pathways of Mycobacterium avium Subsp. paratuberculosis Infection in Cattle Herds.

Authors:  M A Al-Mamun; R L Smith; Y H Schukken; Y T Gröhn
Journal:  Sci Rep       Date:  2017-09-19       Impact factor: 4.379

5.  Evaluation using latent class models of the diagnostic performances of three ELISA tests commercialized for the serological diagnosis of Coxiella burnetii infection in domestic ruminants.

Authors:  Thibaut Lurier; Elodie Rousset; Patrick Gasqui; Carole Sala; Clément Claustre; David Abrial; Philippe Dufour; Renée de Crémoux; Kristel Gache; Marie Laure Delignette-Muller; Florence Ayral; Elsa Jourdain
Journal:  Vet Res       Date:  2021-04-14       Impact factor: 3.683

6.  The Impact of Paratuberculosis on Milk Production, Fertility, and Culling in Large Commercial Hungarian Dairy Herds.

Authors:  Laszlo Ozsvari; Andrea Harnos; Zsolt Lang; Attila Monostori; Sam Strain; Istvan Fodor
Journal:  Front Vet Sci       Date:  2020-10-19
  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.