Epidemics:ferguson2008

Virtual society	Virus spread	Literature	Version
Polish virtual society epidemics model
Guinea pigs epidemics model
Virus genetic evolution epidemics model

An example of so called SIR (Susceptible, Infectious, Recovered) model.

Joint probability of observed (Y), unobserved variables ($\nu,\psi$), and parameters ($\theta$) is given by:

$p(Y,\nu,\psi,\theta) = p(Y|\nu,\psi)p(\nu,\psi|\theta)p(\theta)$, where

$p(\theta)$, $\leftarrow$ prior level (prior distribution of parameters).
$p(\nu,\psi|\theta)=\prod_{ih}^{n_{ih}}p(\nu^{ih},\psi^{ih}|\theta)$, $\leftarrow$ transmission level
$p(Y|\nu,\psi)=\prod_{i}^{n_{ih}}p(Y^{ih}|\nu^{ih},\psi^{ih})$, $\leftarrow$ observation level

Y - indicator function: $Y_{ij}^{ih}=1$ if, for ith, ($i=1,2,..,n_{ih}$) individual of ihth household (of size $n_{ih}$) on jth day ($j=0,1,..,14$), clinical influenza was observed, $Y_{ij}^{ih}=0$ otherwise.
$I^{ih}$ - group of individuals at ihth household with at least 1 day of clinical influenza, $S^{ih}$ - remaining members of the ihth household.
$Z_{i}^{ih}$ - the 1st day of clinical influenza of ith individual in ihth household
$\nu_{i}^{ih},\psi_{i}^{ih} (\nu_{i}^{ih}<\psi_{i}^{ih})$ - unobserved variables corresponding to the start end the end of the infectious period for ith individual of ihth household