* Gang Wang, Ying Zhang, Simon J. Shepherd, Clive B. Beggs, Nini Rao, [Application of stochastic Petri nets for modelling the transmission of airborne Infection in Indoor Environments](https://pdfs.semanticscholar.org/c701/1a719988e589e0425ae7346b2202f93a78f6.pdf), Acta Medica Mediterranea, 2016, 32: 587.
> The classical deterministic susceptible-infectious-recovered (SIR) model has played an important role in the analysis of epidemic systems with large populations. However, when population numbers become small e.g. in a hospital ward, a stochastic analysis
will be vital. The stochastic Petri-Nets using Gillespie algorithm for modeling the transmission of airborne infections in enclosed spaces is present to be incorporated into an SIR epidemic model with a short incubation period to simulate the transmission dynamics of
airborne infectious diseases in indoor environments. The stochastic model not only allows the long-term impact of infection control
measures and enables the evaluation of environmental factors, but also depicts the probability of an outbreak of an airborne infection.
A quantitative performance study was carried out to demonstrate how to limit the probability rate of outbreak of infection.