Simulation modeling of the effect of climatic factors on bluetongue virus infection in Australian cattle herds. I. Model formulation, verification and validation

M. P. Ward, Tim Carpenter

Research output: Contribution to journalArticle

13 Citations (Scopus)

Abstract

A state transition model based on matrix formulation was used to investigate the infection of Australian cattle herds with bluetongue viruses. The model was simulated until the prevalence of bluetongue virus infection stabilized (a period of approximately 25-30 simulated years). The model behaved in an appropriate manner given the introduction of an infectious disease agent into a naive cattle population. Validation was achieved by comparing the prevalence of infection predicted by the model for a set of input climatic values with the prevalence of bluetongue virus infection observed in a serological survey of cattle herds in Queensland, Australia. No significant difference was detected (P > 0.05) and a strong correlation was found between observed and predicted prevalence of infection (r = 0.75). Sensitivity analysis was performed by systematically varying the value of input climatic parameters. The model was robust, except at very low minimum temperatures that are rarely reached in Queensland. We considered the model satisfactory for quantitatively investigating the effect of climatic factors on the infection of Australian cattle herds with bluetongue viruses.

Original languageEnglish (US)
Pages (from-to)1-12
Number of pages12
JournalPreventive Veterinary Medicine
Volume27
Issue number1-2
DOIs
StatePublished - Jan 1 1996

Fingerprint

Bluetongue virus
Virus Diseases
climatic factors
herds
Queensland
cattle
Infection
infection
Communicable Diseases
serological surveys
infectious diseases
Temperature
Population

Keywords

  • Bluetongue virus
  • Cattle
  • Climate
  • Simulation modeling
  • Transition matrix

ASJC Scopus subject areas

  • Food Animals
  • Animal Science and Zoology

Cite this

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