Literature DB >> 26520176

A new compartmental model of Mycobacterium avium subsp. paratuberculosis infection dynamics in cattle.

Rebecca L Smith1, Ynte H Schukken2, Yrjö T Gröhn3.   

Abstract

Models of Mycobacterium avium subsp. paratuberculosis (MAP), a chronic infectious agent of cattle, are used to identify effective control programs. However, new biological findings show that adult infections occur and that infected animals can be separated into 2 paths: animals that will become high-shedding and, eventually, experience clinical disease (high-path); and animals that will shed only small quantities of MAP and will remain subclinical (low-path). Longitudinal data analysis found that high-path animals progress more quickly than previously believed. A standard model of MAP transmission in dairy herds was modified to include adult low-path infections and 2 infection pathways for infected calves. Analysis of this model showed that adult infection may play an important role in MAP dynamics on a dairy farm, and that the increased rate of progression for high-path animals influences both the prevalence and the persistence of MAP on a dairy farm. This new model will be able to determine the effectiveness of MAP control programs more accurately than previous models.
Copyright © 2015 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Control; Disease modeling; Mycobacteria; Paratuberculosis; Persistence

Mesh:

Year:  2015        PMID: 26520176      PMCID: PMC4679433          DOI: 10.1016/j.prevetmed.2015.10.008

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


  34 in total

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Authors:  R L Smith; R L Strawderman; Y H Schukken; S J Wells; A K Pradhan; L A Espejo; R H Whitlock; J S Van Kessel; J M Smith; D R Wolfgang; Y T Gröhn
Journal:  J Dairy Sci       Date:  2010-08       Impact factor: 4.034

3.  Susceptibility to paratuberculosis infection in cattle is associated with single nucleotide polymorphisms in Toll-like receptor 2 which modulate immune responses against Mycobacterium avium subspecies paratuberculosis.

Authors:  A Koets; W Santema; H Mertens; D Oostenrijk; M Keestra; M Overdijk; R Labouriau; P Franken; A Frijters; M Nielen; V Rutten
Journal:  Prev Vet Med       Date:  2009-12-14       Impact factor: 2.670

4.  Associations between reproductive performance and seropositivity for bovine leukemia virus, bovine viral-diarrhea virus, Mycobacterium avium subspecies paratuberculosis, and Neospora caninum in Canadian dairy cows.

Authors:  J A Vanleeuwen; J P Haddad; I R Dohoo; G P Keefe; A Tiwari; R Tremblay
Journal:  Prev Vet Med       Date:  2009-12-16       Impact factor: 2.670

5.  A longitudinal study on the impact of Johne's disease status on milk production in individual cows.

Authors:  R L Smith; Y T Grohn; A K Pradhan; R H Whitlock; J S Van Kessel; J M Smith; D R Wolfgang; Y H Schukken
Journal:  J Dairy Sci       Date:  2009-06       Impact factor: 4.034

6.  Simulation modeling to evaluate the persistence of Mycobacterium avium subsp. paratuberculosis (MAP) on commercial dairy farms in the United States.

Authors:  R M Mitchell; R H Whitlock; S M Stehman; A Benedictus; P P Chapagain; Y T Grohn; Y H Schukken
Journal:  Prev Vet Med       Date:  2007-11-26       Impact factor: 2.670

7.  Time to the occurrence of a decline in milk production in cows with various paratuberculosis antibody profiles.

Authors:  S S Nielsen; M A Krogh; C Enevoldsen
Journal:  J Dairy Sci       Date:  2009-01       Impact factor: 4.034

8.  Eliminating human tuberculosis in the twenty-first century.

Authors:  Christopher Dye; Brian G Williams
Journal:  J R Soc Interface       Date:  2008-06-06       Impact factor: 4.118

Review 9.  Evidence for age susceptibility of cattle to Johne's disease.

Authors:  Peter A Windsor; Richard J Whittington
Journal:  Vet J       Date:  2009-02-25       Impact factor: 2.688

10.  Dynamics of endemic infectious diseases of animal and human importance on three dairy herds in the northeastern United States.

Authors:  A K Pradhan; J S Van Kessel; J S Karns; D R Wolfgang; E Hovingh; K A Nelen; J M Smith; R H Whitlock; T Fyock; S Ladely; P J Fedorka-Cray; Y H Schukken
Journal:  J Dairy Sci       Date:  2009-04       Impact factor: 4.034

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  10 in total

1.  Economic consequences of paratuberculosis control in dairy cattle: A stochastic modeling study.

Authors:  R L Smith; M A Al-Mamun; Y T Gröhn
Journal:  Prev Vet Med       Date:  2017-01-10       Impact factor: 2.670

2.  Modeling Paratuberculosis Transmission in a Small Dairy Herd Typical of Slovenia Suggests That Different Models Should Be Used to Study Disease Spread in Herds of Different Sizes.

Authors:  Tanja Knific; Andrej Kirbiš; Jörn M Gethmann; Jasna Prezelj; Branko Krt; Matjaž Ocepek
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3.  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

4.  A data-driven individual-based model of infectious disease in livestock operation: A validation study for paratuberculosis.

Authors:  Mohammad A Al-Mamun; Rebecca L Smith; Annette Nigsch; Ynte H Schukken; Yrjo T Gröhn
Journal:  PLoS One       Date:  2018-12-14       Impact factor: 3.240

5.  Mastitis risk effect on the economic consequences of paratuberculosis control in dairy cattle: A stochastic modeling study.

Authors:  Leslie J Verteramo Chiu; Loren W Tauer; Yrjo T Gröhn; Rebecca L Smith
Journal:  PLoS One       Date:  2019-09-26       Impact factor: 3.240

6.  Which phenotypic traits of resistance should be improved in cattle to control paratuberculosis dynamics in a dairy herd: a modelling approach.

Authors:  Racem Ben Romdhane; Gaël Beaunée; Guillaume Camanes; Raphaël Guatteo; Christine Fourichon; Pauline Ezanno
Journal:  Vet Res       Date:  2017-10-10       Impact factor: 3.683

7.  Control measures to prevent the increase of paratuberculosis prevalence in dairy cattle herds: an individual-based modelling approach.

Authors:  Guillaume Camanes; Alain Joly; Christine Fourichon; Racem Ben Romdhane; Pauline Ezanno
Journal:  Vet Res       Date:  2018-07-13       Impact factor: 3.683

8.  Evaluating the impact of transmission mode, calibration level and farmer compliance in simulation models of paratuberculosis in dairy herds.

Authors:  Carsten Kirkeby; Kaare Græsbøll; Tariq Halasa
Journal:  Sci Rep       Date:  2018-06-14       Impact factor: 4.379

9.  Characterizing infectious disease progression through discrete states using hidden Markov models.

Authors:  Kristina M Ceres; Ynte H Schukken; Yrjö T Gröhn
Journal:  PLoS One       Date:  2020-11-20       Impact factor: 3.240

10.  Modelling spread and surveillance of Mycobacterium avium subsp. paratuberculosis in the Swedish cattle trade network.

Authors:  Thomas Rosendal; Stefan Widgren; Karl Ståhl; Jenny Frössling
Journal:  Prev Vet Med       Date:  2020-09-16       Impact factor: 2.670

  10 in total

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