Simulations of infectious diseases on networks

Effect of variable transmission rate on the dynamics of HIV in sub-Saharan Africa

“…With the aim of testing the effect of temporal and individual variation on HIV transmission generated by co-infection, we developed a dynamic sexual network model [15]. Partnership acquisition process relevant to HIV infections is too complex to be adequately captured by a static degree distribution [50].…”

“…Clustering measures focus on describing both the connections from focal nodes and the connections made by its neighbors. In particular, high levels of clustering may reduce the rate of spread of an infectious disease [15]. …”

The influence of social structure on the propagation of social information in artificial primate groups: A graph-based simulation approach

“…However, modelling the number of infected and susceptible individuals as continuous variables gives only poor approximations in small populations. In such cases, the system can be modelled as a Markov process with discrete population and time, where the probabilities of transmission from ðs; iÞ to ðs À 1; i þ 1Þ and ðs; i À 1Þ are given by bsi DT and gi DT, respectively (Witten and Poulter, 2007). Recently, network approaches to disease (Eubank et al, 2004;Liljeros et al, 2001;May and Lloyd, 2001;Newman, 2003;Nowak and Bangham, 1996;Verdasca et al, 2004;Witten and Poulter, 2007) and information (Kincaid, 2000;Kossinets and Watts, 2006;Valente, 2005;Watts and Strogatz, 1998) transmission have proven to allow more detailed predictions as they release the assumption of fully-mixed populations.…”

Ajuste de un modelo de redes de contagio de varicela mediante algoritmos de optimización heurísticos en un entorno de cálculo distribuido

“…Por eso en este trabajo se ha optado por usar modelos de redes. En los últimos años las redes aleatorias se han popularizado como medio para simular los patrones de difusión de enfermedades infectocontagiosas en redes de gran tamaño [4,10].…”