Social Network Analysis and Modeling

Transmission of infectious diseases mostly occurs due to direct and indirect contacts among infected and susceptible individuals. Therefore, the characterization of contact patterns and biosecurity measures in a population is a prerequisite to better understand and prospectively predict the spread of diseases.Social network analysis is an approach that offers benefits for exploring the nature and extent of the contacts between individuals (e.g. animals, farms, etc.), which, in epidemiology, ultimately leads to a better understanding of the potential risk for disease spread in susceptible populations. We apply and develop new methods in SNA to evaluate patterns of contacts between individuals that could lead to disease spread if the infectious agent was present in the population and to identify individuals or structures within the network with an important role in disease dissemination, which can be targeted selectively as part of risk- based surveillance and control programs.

Social network analysis