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

Individual space–time activity-based modelling of infectious disease transmission within a city
Individual space–time activity-based modelling of infectious disease transmission within a city
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.
1742-5689
759-772
Yang, Y.
f2e3049f-3750-4497-ba13-7a9072f4b562
Atkinson, Peter
96e96579-56fe-424d-a21c-17b6eed13b0b
Ettema, Dick
c3cfaf00-4bde-4677-a86b-72ef4f805cf5
Yang, Y.
f2e3049f-3750-4497-ba13-7a9072f4b562
Atkinson, Peter
96e96579-56fe-424d-a21c-17b6eed13b0b
Ettema, Dick
c3cfaf00-4bde-4677-a86b-72ef4f805cf5

Yang, Y., Atkinson, Peter and Ettema, Dick (2008) Individual space–time activity-based modelling of infectious disease transmission within a city. Journal of the Royal Society Interface, 5 (24), 759-772. (doi:10.1098/rsif.2007.1218). (PMID:17999949)

Record type: Article

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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Published date: July 2008
Organisations: Geography
Learn more about Geography research

Identifiers

Local EPrints ID: 146747
URI: http://eprints.soton.ac.uk/id/eprint/146747
DOI: doi:10.1098/rsif.2007.1218
ISSN: 1742-5689
PURE UUID: e2ebdee4-67b6-41e8-a79c-07cfb2f61cf9
ORCID for Peter Atkinson: ORCID iD orcid.org/0000-0002-5489-6880

Catalogue record

Date deposited: 08 Jun 2010 14:34
Last modified: 12 Nov 2024 02:34

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Contributors

Author: Y. Yang
Author: Peter Atkinson ORCID iD
Author: Dick Ettema

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