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

Autor:	Jan Broeckhove, Lander Willem, Sean Stijven, Elise Kuylen
Rok vydání:	2017
Předmět:	0301 basic medicine 03 medical and health sciences Individual based 030104 developmental biology Social contact Computer science Transmission (medicine) General Earth and Planetary Sciences STRIDE Context (language use) Disease Simulation General Environmental Science
Zdroj:	ICCS Procedia computer science
ISSN:	1877-0509
DOI:	10.1016/j.procs.2017.05.086
Popis:	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. (C) 2017 The Authors. Published by Elsevier B.V.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1c60adcf5f10121de8a1d2cbbdf2d7c https://doi.org/10.1016/j.procs.2017.05.086 Zobrazit plný text záznamu