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. 2008 Jul 6;5(24):759-72.
doi: 10.1098/rsif.2007.1218.

Individual space-time activity-based modelling of infectious disease transmission within a city

Yong Yang  1 , Peter Atkinson, Dick Ettema
Affiliations

Individual space-time activity-based modelling of infectious disease transmission within a city

Yong Yang et al. J R Soc Interface. .

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.

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Figures

Figure 1
Figure 1
Spatial patterns of individuals within groups: (a) static random, (b) static even, (c) queue and (d) loop. (The points represent individuals. The solid lines that link between two points represent the possible contacts between these two individuals. Dotted circular line around individual ‘a’ shows all individuals within this area who could come into contact with individual ‘a’.)
Figure 2
Figure 2
Preparation process (see table 6 for data sources).
Figure 3
Figure 3
Spatial distribution of households and schools at PC6 levels. Solid black circles indicate PC6 with a school.
Figure 4
Figure 4
Spatial distribution of ABs for work, relaxation and maintenance at PC6 levels.
Figure 5
Figure 5
Distribution of number of contacts for all individuals per day.
Figure 6
Figure 6
SIR plot for one simulation of 100 days (black line, susceptible; dotted line, immune infected).
Figure 7
Figure 7
Individuals' spatial distribution at (a) 04.00, (b) 10.00, (c) 16.00 and (d) 22.00 hours.
Figure 8
Figure 8
Spatial distributions of infections at PC6 level (a) based on the AB where infections occurred and (b) based on the households of infected persons.
Figure 9
Figure 9
Change over time in the number of individuals infected but not infectious, infectious without symptoms, infectious with symptoms and the total number of infected individuals.
See this image and copyright information in PMC

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