title: Individual space-time activity-based modelling of infectious disease transmission within a city.
abstract: This paper provides an example of the application of an individual space-time activity-based model (ISTAM) to the simulation of the transmission of infectious disease in Eemnes, a city in The Netherlands. Four questions were addressed: (i) how to build the whole population at the city level, (ii) how to build the structure of the activity bundles for the city, (iii) how to assign daily activity patterns to each individual, and (iv) how to simulate within-AB transmission. The model was calibrated and examples of simulation results such as dynamics of the population during a whole day, infection distribution and network analysis are presented.
authors.affiliation: School of Geography, University of Southampton, Southampton SO17 1BJ, UK. yangyong.cn@gmail.com
authors.forename: Yong
authors.initials: Y
authors.lastname: Yang
authors.forename: Peter
authors.initials: P
authors.lastname: Atkinson
authors.forename: Dick
authors.initials: D
authors.lastname: Ettema
mesh_terms: D003140:Communicable Disease Control / Q000379:methods; D003141:Communicable Diseases / Q000453:epidemiology* / Q000635:transmission*; D018562:Disease Transmission, Infectious / Q000517:prevention & control; D006801:Humans; D008954:Models, Biological; D009426:Netherlands; D011157:Population Dynamics; D014505:Urban Population