Author: Chen, Shi; White, Brad J.; Sanderson, Michael W.; Amrine, David E.; Ilany, Amiyaal; Lanzas, Cristina
Title: Highly dynamic animal contact network and implications on disease transmission Document date: 2014_3_26
ID: 1pp7k1k6_20
Snippet: Modeling Direct Transmitted Pathogen Dynamics. As shown in the results section, the actual contact network was highly dynamic, featuring substantial individual and temporal heterogeneity. Compartmental models such as directly transmitted SIR type (susceptible-infected-recovered) usually assume a constant number of contacts over time and for any individual. Therefore, with the typical compartmental model, the underlying network corresponds to a re.....
Document: Modeling Direct Transmitted Pathogen Dynamics. As shown in the results section, the actual contact network was highly dynamic, featuring substantial individual and temporal heterogeneity. Compartmental models such as directly transmitted SIR type (susceptible-infected-recovered) usually assume a constant number of contacts over time and for any individual. Therefore, with the typical compartmental model, the underlying network corresponds to a regular random network 3 . However, because the assumption of same degree distribution over time and among individuals was not consistent with our analysis of the observed contact network, it was necessary to investigate how changes in the contact network could further impact disease dynamics quantitatively 26, 27 . To do so, the sources of heterogeneity (temporal change in degree distribution and individual rank) were incorporated in a simple discrete time, agent-based SIR-type model. The probability of infection of the i th susceptible individual in a time period t (b i,t ) was a function of the number of pairwise contacts and was proportional to number of infected animals (j) at t:
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