Social Contact Patterns in an Individual-based Simulator for the Transmission of Infectious Diseases (Stride) | Zendy

Elise Kuylen | Zendy; Sean Stijven | Zendy; J. Broeckhove | Zendy; Lander Willem | Zendy

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Social Contact Patterns in an Individual-based Simulator for the Transmission of Infectious Diseases (Stride)

Author(s) -

Elise Kuylen,

Sean Stijven,

J. Broeckhove,

Lander Willem

Publication year - 2017

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2017.05.086

Subject(s) - stride , computer science , social contact , transmission (telecommunications) , context (archaeology) , infectious disease (medical specialty) , simulation , human–computer interaction , disease transmission , disease , computer security , medicine , telecommunications , psychology , communication , virology , paleontology , pathology , biology

Individual-based models are convenient to study the spread of infectious diseases in combination with heterogeneous social mixing patterns. In this paper, we present an open-source and generic, individual-based simulator for the transmission of infectious diseases (Stride) in which social contact rates are dependent on both the context and the age of the individuals. Using a case study, we illustrate the effect of different social contact hypotheses on disease dynamics.

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