A Simple Geometric Validation Approach to Assess the Basic Behaviour of Space- and Time- Distributed Models of Epidemic Spread - An Example Using the Ontario Rabies Model
Authored by A Ludwig, P Berthiaume, J Richer, R Tinline, M Bigras-Poulin
Date Published: 2014
DOI: 10.1111/tbed.12010
Sponsors:
Calcul Quebec
Ministries of Ontario
Platforms:
Unix
Statistical Analysis Software (SAS)
Model Documentation:
Other Narrative
Mathematical description
Model Code URLs:
Model code not found
Abstract
Dynamic mathematical modelling and stochastic simulation of disease-host
systems for the purpose of epidemiological analysis offer great
opportunities for testing hypotheses, especially when field experiments
are impractical or when there is a need to evaluate multiple
experimental scenarios. This, combined with the ever increasing computer
power available to researchers, has contributed to the development of
many mathematical models for epidemic simulations, such as the
individual-based model (IBM). Nevertheless, few of these models undergo
extensive validation and proper assessment of intrinsic variability. The
Ontario rabies model (ORM) will be used here to exemplify some
advantages of appropriate model behaviour validation and to illustrate
the use of a simple geometric procedure for testing directional bias in
distributed stochastic dynamic model of spread of diseases. Results were
obtained through the comparison of 10000 epizootics resulting from 100
epidemic simulations started using 100 distinct base populations. The
analysis results demonstrated a significant directional bias in epidemic
dispersion, which prompted further verification of the model code and
the identification of a coding error, which was then corrected.
Subsequent testing of the corrected code showed that the directional
bias could no longer be detected. These results illustrate the
importance of proper validation and the importance of sufficient
knowledge of the model behaviour to ensure the results will not confound
the objectives of the end-users.
Tags
Individual-based model
Simulation
Dynamics
calibration
Spatially explicit
Raccoon rabies
Multiagent
models