Synthetic Population Dynamics: A Model of Household Demography
Authored by Nicholas Geard, James M McCaw, Alan Dorin, Kevin B Korb, Jodie McVernon
Date Published: 2013
Sponsors:
No sponsors listed
Platforms:
Python
Model Documentation:
Other Narrative
Pseudocode
Model Code URLs:
https://github.com/nlgn/sim-demog
Abstract
Computer-simulated synthetic populations are used by researchers and
policy makers to help understand and predict the aggregate behaviour of
large numbers of individuals. Research aims include explaining the
structural and dynamic characteristics of populations, and the
implications of these characteristics for dynamic processes such as the
spread of disease, opinions and social norms. Policy makers planning for
the future economic, healthcare or infrastructure needs of a population
want to be able to evaluate the possible effects of their policies. In
both cases, it is desirable that the structure and dynamic behaviour of
synthetic populations be statistically congruent to that of real
populations. Here, we present a parsimonious individual-based model for
generating synthetic population dynamics that focuses on the effects
that demographic change have on the structure and composition of
households.
Tags
networks
kinship
Influenza
Strategies
System
Transition
Family
Infectious-disease transmission