Social mixing patterns can have an important effect on the spread of an infectious disease, and thus should be included in a model for the transmission of such a disease. Stride (a Simulator for the TRansmission of Infectious DisEases) is an open-source simulator for the transmission of infectious diseases. In Stride, the influence of age, context and type of day on social mixing patterns is explicitly modelled. After briefly introducing our model, we illustrate it by simulating the spread of Influenza in a synthetic population for Miami-Dade (Florida, USA).
SACEMA, in collaboration with the African Institute for Mathematical Sciences (AIMS), is holding a modelling clinic from 30 May to 10 June 2011 in Muizenberg, Cape Town. The clinic will emphasize the use of data in understanding infectious disease dynamics and engages the participants in epidemiological modelling projects that use real data to grapple with Read More