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. 2014 Oct 29;9(10):e110811. doi: 10.1371/journal.pone.0110811

Table 1. Summary of model scenarios.

Dog Wild carnivore
Scenario number Scenario name Prevalence(%) Mean effectivecontact Prevalence (%) Mean effective contact Tiger-tiger Transmission Infectious period (days) Mortality (mean death per infection) Population growth (λ) Percentagepopulationsextinctin 50 years
1 Control 0 0 0 0 No 0 0 1 23.5%
2 Low risk dog 1.5 0.27 0 0 Yes 45 0.4 0.987 29.8%
3 High risk dog 5.0 1.66 0 0 Yes 45 0.4 0.958 66.1%
4 Low risk wildlife 0 0 0.6 1.65* Yes 45 0.4 0.984 33.4%
5 High risk wildlife 0 0 6.2 3.87 Yes 45 0.4 0.956 74.5%
6 Low risk dog + wildlife 1.5 0.27 0.6 1.65* Yes 45 0.4 0.980 35.7%
7 High risk dog + wildlife 5.0 1.66 6.2 3.87 Yes 45 0.4 0.955 79.3%
8 30 day infectious period 1.5 0.27 0.6 1.65* Yes 30 0.4 0.995 30.3%
9 60 day infectious period 1.5 0.27 0.6 1.65* Yes 60 0.4 0.966 40.7%
10 Low mortality 1.5 0.27 0.6 1.65* Yes 45 0.3 0.982 34.0%
11 High mortality 1.5 0.27 0.6 1.65* Yes 45 0.5 0.978 38.5%
12 3-year infection cycle 1.5 or 5.0 1.66 0.6 or 6.2 3.87 Yes 45 0.4 0.959 69.1%
13 5-year infection cycle 1.5 or 5.0 1.66 0.6 or 6.2 3.87 Yes 45 0.4 0.962 64.2%
14 7-year infection cycle 1.5 or 5.0 1.66 0.6 or 6.2 3.87 Yes 45 0.4 0.964 61.3%
15 Mean of 3 yr cycle 2.7 1.66 2.4 3.87 Yes 45 0.4 0.961 67.7%
16 Mean of 5 yr cycle 2.2 1.66 1.7 3.87 Yes 45 0.4 0.963 66.5%
17 Mean of 7 yr cycle 2.0 1.66 1.4 3.87 Yes 45 0.4 0.963 65.1%

Details of the fifteen canine distemper virus (CDV) infection scenarios used in the model simulations, used to determine tiger population growth rate (lambda, λ, calculated through 50 simulations with a founder population of 200 female and 100 male tigers) and 50-year extinction probability (calculated through 1,000 simulations as the proportion of simulations where population were reduced to zero before the run was complete).

*Derived from 3.4% of 551 kills per year comprising wild carnivore prey (30), and a median of one kill every 7.5 days (or 48.53 kills/year) (42).