Literature DB >> 12609464

A model appropriate to the transmission of a human food-borne pathogen in a multigroup managed herd.

Joanne Turner1, Michael Begon, Roger G Bowers, Nigel P French.   

Abstract

We describe a model of microparasite transmission within a multigroup managed farming system. The model was formulated to represent transmission of Escherichia coli O157 within a typical UK dairy herd and was used to suggest possible on-farm control strategies. The model includes birth, death, maturation, the dry/lactating cycle and various types of transmission (i.e. direct, pseudovertical (representing direct faecal-oral transmission between dam and calf within the first 48 h) and indirect (via free-living infectious units in the environment)). A combination of numerical and analytical techniques was used to analyse the model. We found that pseudovertical transmission and indirect transmission via infectious units in the 'general' environment can lead to more groups being affected, but otherwise have relatively little effect on the invasion criteria. To reduce infection within the herd, we suggest that efforts be directed at reducing the opportunity for group-specific indirect transmission-particularly within the weaned group.

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Year:  2003        PMID: 12609464     DOI: 10.1016/s0167-5877(03)00006-0

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


  10 in total

Review 1.  Mathematical modeling of the transmission and control of foodborne pathogens and antimicrobial resistance at preharvest.

Authors:  Cristina Lanzas; Zhao Lu; Yrjo T Gröhn
Journal:  Foodborne Pathog Dis       Date:  2010-11-02       Impact factor: 3.171

2.  A simulation model to assess herd-level intervention strategies against E. coli O157.

Authors:  J C Wood; I J McKendrick; G Gettinby
Journal:  Epidemiol Infect       Date:  2006-11-17       Impact factor: 2.451

3.  Modeling on-farm Escherichia coli O157:H7 population dynamics.

Authors:  P Ayscue; C Lanzas; R Ivanek; Y T Gröhn
Journal:  Foodborne Pathog Dis       Date:  2009-05       Impact factor: 3.171

4.  A stochastic model for transmission, extinction and outbreak of Escherichia coli O157:H7 in cattle as affected by ambient temperature and cleaning practices.

Authors:  Xueying Wang; Raju Gautam; Pablo J Pinedo; Linda J S Allen; Renata Ivanek
Journal:  J Math Biol       Date:  2013-07-18       Impact factor: 2.259

5.  Modelling a national programme for the control of foodborne pathogens in livestock: the case of Salmonella Dublin in the Danish cattle industry.

Authors:  D Jordan; L R Nielsen; L D Warnick
Journal:  Epidemiol Infect       Date:  2008-01-04       Impact factor: 2.451

6.  Quantifying within- and between-animal variation and uncertainty associated with counts of Escherichia coli O157 occurring in naturally infected cattle faeces.

Authors:  S E Robinson; P E Brown; E J Wright; C A Hart; N P French
Journal:  J R Soc Interface       Date:  2009-02-06       Impact factor: 4.118

7.  A data-driven mathematical model of multi-drug resistant Acinetobacter baumannii transmission in an intensive care unit.

Authors:  Xia Wang; Yong Chen; Wei Zhao; Yan Wang; Qing Song; Hui Liu; Jingya Zhao; Xuelin Han; Xiaohua Hu; Hajo Grundmann; Yanni Xiao; Li Han
Journal:  Sci Rep       Date:  2015-03-25       Impact factor: 4.379

8.  Spatio-temporal modelling of verotoxigenic Escherichia coli O157 in cattle in Sweden: exploring options for control.

Authors:  Stefan Widgren; Stefan Engblom; Ulf Emanuelson; Ann Lindberg
Journal:  Vet Res       Date:  2018-08-02       Impact factor: 3.683

9.  Case studies in Bayesian microbial risk assessments.

Authors:  Marc C Kennedy; Helen E Clough; Joanne Turner
Journal:  Environ Health       Date:  2009-12-21       Impact factor: 5.984

10.  Transmission of Escherichia coli O157:H7 in cattle is influenced by the level of environmental contamination.

Authors:  R Gautam; M Kulow; D Park; T K Gonzales; J Dahm; M Shiroda; A J Stasic; D Döpfer; C W Kaspar; R Ivanek
Journal:  Epidemiol Infect       Date:  2014-04-14       Impact factor: 2.451

  10 in total

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