Literature DB >> 21524342

A meta-analysis of the effect of dose and age at exposure on shedding of Mycobacterium avium subspecies paratuberculosis (MAP) in experimentally infected calves and cows.

R M Mitchell1, G F Medley, M T Collins, Y H Schukken.   

Abstract

A meta-analysis was performed using all published and one unpublished long-term infection-challenge experiments to quantify the age- and dose-dependence of early and late shedding of Mycobacterium avium subsp. paratuberculosis (MAP) in cattle. There were 194 animals from 17 studies that fulfilled the inclusion criteria, of which 173 received a known dose of MAP and 21 were exposed naturally. Results from parametric time-to-event models indicated that challenging older calves or using multiple-exposure experimental systems resulted in a smaller proportion and shorter duration of early shedding as well as slower transition to late shedding from latent compartments. Calves exposed naturally showed variable infection progression rates, not dissimilar to other infection routes. The log-normal distribution was most appropriate for modelling infection-progression events. The infection pattern revealed by the modelling allowed better understanding of low-grade endemicity of MAP in cattle, and the parameter estimates are the basis for future transmission dynamics modelling.

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Year:  2011        PMID: 21524342     DOI: 10.1017/S0950268811000689

Source DB:  PubMed          Journal:  Epidemiol Infect        ISSN: 0950-2688            Impact factor:   2.451


  23 in total

1.  Responses of Bovine Innate Immunity to Mycobacterium avium subsp. paratuberculosis Infection Revealed by Changes in Gene Expression and Levels of MicroRNA.

Authors:  Michela Malvisi; Fiorentina Palazzo; Nicola Morandi; Barbara Lazzari; John L Williams; Giulio Pagnacco; Giulietta Minozzi
Journal:  PLoS One       Date:  2016-10-19       Impact factor: 3.240

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

Authors:  Rebecca L Smith; Ynte H Schukken; Yrjö T Gröhn
Journal:  Prev Vet Med       Date:  2015-10-21       Impact factor: 2.670

3.  Longitudinal evaluation of diagnostics in experimentally infected young calves during subclinical and clinical paratuberculosis.

Authors:  Rienske A R Mortier; Herman W Barkema; Karin Orsel; Gregory P Muench; Janet M Bystrom; Oscar Illanes; Jeroen De Buck
Journal:  Can Vet J       Date:  2015-12       Impact factor: 1.008

4.  Two state model for a constant disease hazard in paratuberculosis (and other bovine diseases).

Authors:  Yoram Louzoun; Rebecca Mitchell; Hilla Behar; Ynte Schukken
Journal:  Vet Res       Date:  2015-06-19       Impact factor: 3.683

5.  Longitudinal data collection of Mycobacterium avium subspecies Paratuberculosis infections in dairy herds: the value of precise field data.

Authors:  Ynte H Schukken; Robert H Whitlock; Dave Wolfgang; Yrjo Grohn; Annabelle Beaver; JoAnn VanKessel; Mike Zurakowski; Rebecca Mitchell
Journal:  Vet Res       Date:  2015-06-19       Impact factor: 3.683

6.  Agent-based model for Johne's disease dynamics in a dairy herd.

Authors:  Jessica Robins; Sarah Bogen; Auldon Francis; Annet Westhoek; Andrew Kanarek; Suzanne Lenhart; Shigetoshi Eda
Journal:  Vet Res       Date:  2015-06-19       Impact factor: 3.683

7.  An immuno-epidemiological model for Johne's disease in cattle.

Authors:  Maia Martcheva; Suzanne Lenhart; Shigetoshi Eda; Don Klinkenberg; Eiichi Momotani; Judy Stabel
Journal:  Vet Res       Date:  2015-06-19       Impact factor: 3.683

8.  The long subclinical phase of Mycobacterium avium ssp. paratuberculosis infections explained without adaptive immunity.

Authors:  Don Klinkenberg; Ad Koets
Journal:  Vet Res       Date:  2015-06-19       Impact factor: 3.683

Review 9.  The within host dynamics of Mycobacterium avium ssp. paratuberculosis infection in cattle: where time and place matter.

Authors:  Ad P Koets; Shigetoshi Eda; Srinand Sreevatsan
Journal:  Vet Res       Date:  2015-06-19       Impact factor: 3.683

10.  Evaluation [corrected] of the "Iceberg Phenomenon" in Johne's disease through mathematical modelling.

Authors:  Gesham Magombedze; Gesgam Magombedze; Calistus N Ngonghala; Cristina Lanzas
Journal:  PLoS One       Date:  2013-10-22       Impact factor: 3.240

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