Please use this identifier to cite or link to this item: https://doi.org/10.1186/1742-7622-10-3
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dc.titleTrends in parameterization, economics and host behaviour in influenza pandemic modelling: A review and reporting protocol
dc.contributor.authorCarrasco, L.R.
dc.contributor.authorJit, M.
dc.contributor.authorChen, M.I.
dc.contributor.authorLee, V.J.
dc.contributor.authorMilne, G.J.
dc.contributor.authorCook, A.R.
dc.date.accessioned2014-11-26T05:05:20Z
dc.date.available2014-11-26T05:05:20Z
dc.date.issued2013
dc.identifier.citationCarrasco, L.R., Jit, M., Chen, M.I., Lee, V.J., Milne, G.J., Cook, A.R. (2013). Trends in parameterization, economics and host behaviour in influenza pandemic modelling: A review and reporting protocol. Emerging Themes in Epidemiology 10 (1) : -. ScholarBank@NUS Repository. https://doi.org/10.1186/1742-7622-10-3
dc.identifier.issn17427622
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/109079
dc.description.abstractBackground: 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. © 2013 Carrasco et al.; licensee BioMed Central Ltd.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1186/1742-7622-10-3
dc.sourceScopus
dc.subjectBayesian inference
dc.subjectBehaviour
dc.subjectEconomic analysis
dc.subjectEpistemology of simulation
dc.subjectInfluenza
dc.subjectPandemic modelling
dc.typeArticle
dc.contributor.departmentSAW SWEE HOCK SCHOOL OF PUBLIC HEALTH
dc.contributor.departmentBIOLOGICAL SCIENCES
dc.contributor.departmentDUKE-NUS GRADUATE MEDICAL SCHOOL S'PORE
dc.description.doi10.1186/1742-7622-10-3
dc.description.sourcetitleEmerging Themes in Epidemiology
dc.description.volume10
dc.description.issue1
dc.description.page-
dc.identifier.isiut000210244500001
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