Natural history of disease & demographics |
|
|
|
Total population size |
N |
30,000 |
[29] |
Prop. of immune animals at t0
|
imm_t0
|
Uniform [0.05,0.20] |
to estimate by fitting the model to data |
No. latent animals at t0
|
E0
|
5 |
- |
No. infectious animals at t0
|
I0
|
5 |
- |
Weekly ageing factor |
δ |
0.021 (1/48)/week |
1month = 4 weeks in model |
Survival rate for age-groups 1 to 9 |
α |
0.9912/week |
[47,48] and S1 Text
|
Survival rate for age-group 10 |
α10
|
0.9938/week |
[47,48] and S1 Text
|
Climate-dependent transmission scenarios |
|
|
|
Model 1a: Linear model
|
|
|
|
Slope |
a |
Uniform [1,6] |
to estimate by fitting the model to data |
Rs value at the minimum NDVIt value |
b |
Uniform [0,1] |
Model 1b: Exponential model
|
|
|
|
Multiplying factor |
a |
Uniform [1,20] |
to estimate by fitting the model to data |
Scaling factor |
b |
Uniform [–20,–1] |
Viral introduction through animal import |
|
|
|
No. of animals seized |
nseized
|
100/year |
S2 Table |
Prop. imported infectious animals |
pikw
|
0.15/year |
S2 Table |
Starting date of animal import |
t_imp |
Uniform [Jan-Sept 07] |
to estimate by fitting the model to data |
Duration of import in years |
P |
Uniform [0.1,2] |
Prop. of kwassa-kwassas seized by the maritime border authorities |
pseized
|
Uniform [0.025, 0.20] |