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Published in: Emerging Themes in Epidemiology 1/2013

Open Access 01-12-2013 | Analytic perspective

Trends in parameterization, economics and host behaviour in influenza pandemic modelling: a review and reporting protocol

Authors: Luis R Carrasco, Mark Jit, Mark I Chen, Vernon J Lee, George J Milne, Alex R Cook

Published in: Emerging Themes in Epidemiology | Issue 1/2013

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Abstract

Background

The volume of influenza pandemic modelling studies has increased dramatically in the last decade. Many models incorporate now sophisticated parameterization and validation techniques, economic analyses and the behaviour of individuals.

Methods

We reviewed trends in these aspects in models for influenza pandemic preparedness that aimed to generate policy insights for epidemic management and were published from 2000 to September 2011, i.e. before and after the 2009 pandemic.

Results

We find that many influenza pandemics models rely on parameters from previous modelling studies, models are rarely validated using observed data and are seldom applied to low-income countries. Mechanisms for international data sharing would be necessary to facilitate a wider adoption of model validation. The variety of modelling decisions makes it difficult to compare and evaluate models systematically.

Conclusions

We propose a model Characteristics, Construction, Parameterization and Validation aspects protocol (CCPV protocol) to contribute to the systematisation of the reporting of models with an emphasis on the incorporation of economic aspects and host behaviour. Model reporting, as already exists in many other fields of modelling, would increase confidence in model results, and transparency in their assessment and comparison.
Appendix
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Metadata
Title
Trends in parameterization, economics and host behaviour in influenza pandemic modelling: a review and reporting protocol
Authors
Luis R Carrasco
Mark Jit
Mark I Chen
Vernon J Lee
George J Milne
Alex R Cook
Publication date
01-12-2013
Publisher
BioMed Central
Published in
Emerging Themes in Epidemiology / Issue 1/2013
Electronic ISSN: 1742-7622
DOI
https://doi.org/10.1186/1742-7622-10-3

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