Agent based disease transmission model¶
Overview¶
In this benchmark we run EMOD, an agent based disease transmission model, looking at how \(R_0\) and the correlation between individuals acquisition and transmission correlation can affect the ultimate attack fraction. There is no waning immunity.
Run¶
docker run -it -p 4243:4243 linusseelinger/benchmark-abm-attack-fraction:latest
Properties¶
Model |
Description |
|---|---|
forward |
Forward model |
posterior |
Posterior density |
forward¶
Mapping |
Dimensions |
Description |
|---|---|---|
input |
[3] |
[ \(R_0\), variance of \(R_0\), correlation between acquisition and transmission ] |
output |
[1] |
Attack fraction |
posterior¶
Mapping |
Dimensions |
Description |
|---|---|---|
input |
[3] |
[ \(R_0\), variance of \(R_0\), correlation between acquisition and transmission] |
output |
[1] |
Log posterior density |
Feature |
Supported |
|---|---|
Evaluate |
True |
Gradient |
False |
ApplyJacobian |
False |
ApplyHessian |
False |
Config |
Type |
Default |
Description |
|---|---|---|---|
None |
Mount directories¶
Mount directory |
Purpose |
|---|---|
None |
Source code¶
Description¶
The benchmark is fitting to an attack fraction of 40% with a standard deviation of 10%.