Stochastic models of foot and mouth disease in feral pigs in the Australian semi-arid rangelands

Summary 1. Foot and mouth disease (FMD) is one of the world’s most important livestock diseases and pigs Sus scrofa are highly susceptible. In countries with significant feral pig populations, such as Australia, the possibility that FMD may become established in these populations is a cause of considerable concern. 2. Current models of FMD in feral pigs in Australia are based on deterministic population and behavioural parameters. However, the population dynamics of feral pigs in the semi-arid regions of Australia vary stochastically, in concert with the biomass of rainfall-driven pasture. 3. This study explored how stochastic variation in the population dynamics of feral pigs in semi-arid rangelands affected the probability of persistence of an FMD epizootic, and its impact on the density of feral pigs. A stochastic model of feral pig population dynamics, with death rate linked to vegetation and rainfall, was linked to a deterministic model of FMD in feral pigs. 4. Unlike the fully deterministic model, the stochastic model predicted inevitable extinction of the disease. When the transmission coefficient for FMD ( β ) was set at the mean value of 9 km 2 pig − 1 day − 1 , the mean persistence time of the epizootic (in 1000 simulations) was 3338 days, with a maximum persistence time of 8439 days. 5. On average the FMD epizootic reduced the population density of feral pigs, compared with the density of uninfected pig populations, by between 54% and 43% for transmission coefficients ( β ) equal to the estimated likely mean and minimum values (9·0 km 2 pig − 1 day − 1 and 2·5 km 2 pig − 1 day − 1 ), respectively. This compares with a suppression of 27% in density for the equivalent deterministic model. 6. Further stochasticity was introduced to the linked population and disease model by making the transmission coefficient β stochastic with values based on radiotelemetry of a population of feral pigs in the semi-arid rangelands over an 18-month period. 7. The addition of a stochastically varying β lowered the mean persistence time of the simulated epizootic to 1037 days in 1000 simulations and reduced the maximum persistence time to 3907 days. Pig density was reduced by 45% compared with uninfected populations. 8. Synthesis and applications. These simulations suggest that any control programme to suppress a FMD outbreak in feral pigs in the semi-arid rangelands of Australia should take account of prevailing environmental conditions when aiming to reduce feral pig populations beneath a threshold density ( N T ) below which the disease cannot persist. As the N T is higher than for the equivalent deterministic model, the disease may be easier to control than such models suggest.

[1]  R. Pech,et al.  A model of the dynamics and control of an outbreak of foot and mouth disease in feral pigs in Australia. , 1988 .

[2]  K. Haydock,et al.  The comparative yield method for estimating dry matter yield of pasture , 1975 .

[3]  Graeme Caughley,et al.  Analysis of vertebrate populations , 1977 .

[4]  P. Bayliss The population dynamics of red and western grey kangaroos in arid New South Wales, Australia. I. Population trends and rainfall , 1985 .

[5]  R. Levins Some Demographic and Genetic Consequences of Environmental Heterogeneity for Biological Control , 1969 .

[6]  Jeff Short The effect of pasture availability on food intake, species selection and grazing behaviour of kangaroos , 1986 .

[7]  N. Dexter The influence of pasture distribution and temperature on habitat selection by feral pigs in a semi-arid environment , 1998 .

[8]  A. J. Hall Infectious diseases of humans: R. M. Anderson & R. M. May. Oxford etc.: Oxford University Press, 1991. viii + 757 pp. Price £50. ISBN 0-19-854599-1 , 1992 .

[9]  S. Cornell,et al.  Dynamics of the 2001 UK Foot and Mouth Epidemic: Stochastic Dispersal in a Heterogeneous Landscape , 2001, Science.

[10]  Roy M. Anderson,et al.  Population dynamics of fox rabies in Europe , 1981, Nature.

[11]  R. Pech,et al.  Disease surveillance in wildlife with emphasis on detecting foot and mouth disease in feral pigs , 1990 .

[12]  R. Pech,et al.  A model of the velocity of advance of foot and mouth disease in feral pigs , 1990 .

[13]  N. Dexter The influence of pasture distribution, temperature and sex on home-range size of feral pigs in a semi-arid environment , 1999 .

[14]  Jeff Short The functional response of kangaroos, sheep and rabbits in an arid grazing system , 1985 .

[15]  Robert J. Kilgour,et al.  An evaluation of feral pig trapping , 1993 .

[16]  P. Chesson Multispecies Competition in Variable Environments , 1994 .

[17]  O'Brien Ph Introduced animals and exotic disease: assessing potential risk and appropriate response. , 1989 .

[18]  D. Choquenot,et al.  Testing the relative influence of instrinsic and extrinsic variation in food availability on feral pig populations in Australia's rangelands. , 1998, The Journal of animal ecology.

[19]  I. Noy-Meir,et al.  Desert Ecosystems: Environment and Producers , 1973 .

[20]  R. May Parasitic infections as regulators of animal populations. , 1983, American scientist.

[21]  R. May,et al.  Population biology of infectious diseases: Part II , 1979, Nature.

[22]  P. Yip,et al.  Estimation of the dynamics and rate of transmission of classical swine fever (hog cholera) in wild pigs , 1992, Epidemiology and Infection.

[23]  G. Saunders,et al.  The Evaluation of a Feral Pig Eradication Program during a Simulated Exotic Disease Outbreak , 1988 .