Journal
PLOS COMPUTATIONAL BIOLOGY
Volume 13, Issue 11, Pages -Publisher
PUBLIC LIBRARY SCIENCE
DOI: 10.1371/journal.pcbi.1005838
Keywords
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Funding
- National Institute for Health Research (NIHR) Health Protection Research Unit (HPRU) in Respiratory Infections
- Public Health England (PHE)
- UK Medical Research Council [MR/J008761/1]
- I-MOVE+ (Integrated Monitoring of Vaccines in Europe) project from European Union's Horizon research and innovation programme [634446]
- National Institute for Health Research (NIHR) Health Protection Research Unit (HPRU) in Modelling Methodology
- National Institute for Health Research (NIHR) Health Protection Research Unit (HPRU) in Immunisation
- MRC [MR/J008761/1] Funding Source: UKRI
- Medical Research Council [MR/J008761/1] Funding Source: researchfish
- National Institute for Health Research [HPRU-2012-10080] Funding Source: researchfish
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Public health related decisions often have to balance the cost of intervention strategies with the benefit of the reduction in disease burden. While the cost can often be inferred, forward modelling of the effect of different intervention options is complicated and disease specific. Here we introduce a package that is aimed to simplify this process. The package allows one to infer parameters using a Bayesian approach, perform forward modelling of the likely results of the proposed intervention and finally perform cost effectiveness analysis of the results. The package is based on a method previously used in the UK to inform vaccination strategies for influenza, with extensions to make it easily adaptable to other diseases and data sources.
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