Literature DB >> 9183803

A comparison of fertility control and lethal control of bovine tuberculosis in badgers: the impact of perturbation induced transmission.

J Swinton1, F Tuyttens, D MacDonald, D J Nokes, C L Cheeseman, R Clifton-Hadley.   

Abstract

In this paper we use mathematical modelling to consider the broad advantages and disadvantages of fertility control over lethal control for bovine tuberculosis in badger populations. We use a deliberately simple model, attempting to capture only the key transmission processes. The model is parametrized with reference to the long-term Woodchester Park study. Estimates of mortality rate from this study suggest no significant extra mortality risk for animals with evidence of infection as indicated by the presence of anti-Mycobacterium bovis antibodies or M. bovis isolation. We find that large reductions in prevalence are sometimes the consequence of only moderate reductions in population numbers. If we assume that the act of control does not in itself affect transmission rates, then as far as eradication is concerned, both fertility control and mortality control operate through the same epidemiological mechanism, the removal of susceptibles: if one is in principle capable of keeping a population low enough to be infection free then so is the other. It is necessary to continue either form of control at regular intervals to maintain a constant level of infection in the long term. If control were to be stopped, return to precontrol levels of badger population and infection prevalence would be expected within a few years. Fertility control is less effective in reducing population density than lethal control since it can only act, at maximum, to remove one age cohort per year. It is also less effective in reducing transmission as it can only ever remove susceptibles, while lethal control also removes infectious badgers. However, if the social disturbance caused by lethal control does in fact increase contact rates for the remaining infectious badgers, the relative efficacies of the two strategies become a great deal less clear. While we have no quantitative data on the extent to which social perturbation does act to promote transmission, model simulations show that it is possible to develop plausible scenarios in which the lethal control may actually act to increase the absolute numbers of animals infected, while reducing the number of uninfected animals to very low numbers.

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Year:  1997        PMID: 9183803      PMCID: PMC1691945          DOI: 10.1098/rstb.1997.0042

Source DB:  PubMed          Journal:  Philos Trans R Soc Lond B Biol Sci        ISSN: 0962-8436            Impact factor:   6.237


  9 in total

1.  Tuberculosis in wild badgers in Gloucestershire: epidemiology.

Authors:  R H Murhead; K J Burns
Journal:  Vet Rec       Date:  1974-12-14       Impact factor: 2.695

2.  Population dynamics of the badger (Meles meles) and the epidemiology of bovine tuberculosis (Mycobacterium bovis).

Authors:  R M Anderson; W Trewhella
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1985-09-12       Impact factor: 6.237

3.  Mycobacterium bovis in the European badger (Meles meles): epidemiological findings in tuberculous badgers from a naturally infected population.

Authors:  R S Clifton-Hadley; J W Wilesmith; F A Stuart
Journal:  Epidemiol Infect       Date:  1993-08       Impact factor: 2.451

4.  Evaluation of an ELISA for Mycobacterium bovis infection in badgers (Meles meles).

Authors:  R S Clifton-Hadley; A R Sayers; M P Stock
Journal:  Vet Rec       Date:  1995-11-25       Impact factor: 2.695

5.  Serodiagnosis of Mycobacterium bovis infection in badgers: development of an indirect ELISA using a 25 kDa antigen.

Authors:  J Goodger; A Nolan; W P Russell; D J Dalley; C J Thorns; F A Stuart; P Croston; D G Newell
Journal:  Vet Rec       Date:  1994-07-23       Impact factor: 2.695

Review 6.  The epidemiology of Mycobacterium bovis infections in animals and man: a review.

Authors:  L M O'Reilly; C J Daborn
Journal:  Tuber Lung Dis       Date:  1995-08

7.  Laboratory study of Mycobacterium bovis infection in badgers and calves.

Authors:  T W Little; P F Naylor; J W Wilesmith
Journal:  Vet Rec       Date:  1982-12-11       Impact factor: 2.695

8.  Bovine tuberculosis in badger (Meles meles) populations in southwest England: the use of a spatial stochastic simulation model to understand the dynamics of the disease.

Authors:  P C White; S Harris
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1995-09-29       Impact factor: 6.237

9.  Bovine tuberculosis in badger (Meles meles) populations in southwest England: an assessment of past, present and possible future control strategies using simulation modelling.

Authors:  P C White; S Harris
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  1995-09-29       Impact factor: 6.237

  9 in total
  6 in total

1.  Fertility control as a means of controlling bovine tuberculosis in badger (Meles meles) populations in south-west England: predictions from a spatial stochastic simulation model.

Authors:  P C White; A J Lewis; S Harris
Journal:  Proc Biol Sci       Date:  1997-12-22       Impact factor: 5.349

2.  Culling and cattle controls influence tuberculosis risk for badgers.

Authors:  Rosie Woodroffe; Christl A Donnelly; Helen E Jenkins; W Thomas Johnston; David R Cox; F John Bourne; Chris L Cheeseman; Richard J Delahay; Richard S Clifton-Hadley; George Gettinby; Peter Gilks; R Glyn Hewinson; John P McInerney; W Ivan Morrison
Journal:  Proc Natl Acad Sci U S A       Date:  2006-10-02       Impact factor: 11.205

3.  Culling-induced changes in badger (Meles meles) behaviour, social organisation and the epidemiology of bovine tuberculosis.

Authors:  Philip Riordan; Richard John Delahay; Chris Cheeseman; Paul James Johnson; David Whyte Macdonald
Journal:  PLoS One       Date:  2011-12-14       Impact factor: 3.240

4.  'Big science' in the field: experimenting with badgers and bovine TB, 1995-2015.

Authors:  Angela Cassidy
Journal:  Hist Philos Life Sci       Date:  2015-07-04       Impact factor: 1.205

5.  Demographic processes drive increases in wildlife disease following population reduction.

Authors:  Jamie C Prentice; Glenn Marion; Piran C L White; Ross S Davidson; Michael R Hutchings
Journal:  PLoS One       Date:  2014-05-02       Impact factor: 3.240

Review 6.  Modeling as a Decision Support Tool for Bovine TB Control Programs in Wildlife.

Authors:  Graham C Smith; Richard J Delahay
Journal:  Front Vet Sci       Date:  2018-11-06
  6 in total

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