Scoping Study - Methods Sample Clauses

Scoping Study - Methods. Models should be created with a specific purpose in mind, that is, there should be a specific question or set of questions that the model seeks to answer. Thus validity of a model is determined with respect to the specific purpose (▇▇▇▇▇▇▇ 2011). Model validation is done to assure developers that the model does represent the real-world situation to a sufficient level of accuracy (▇▇▇▇▇▇ 2002) (▇▇▇▇▇▇▇ 2011). What constitutes a sufficient level of accuracy must be a judgement call made by the modeller, or the commissioner of the modelling; no validation can be 100% because all models are approximations to the real world (▇▇▇▇▇▇ 2002). Model validation should not be confused with model verification, which is the exercising of an apparently correct model with the purpose of identifying and fixing modelling errors. Validation is checking that a model, combined with its assumptions, provide a sufficiently accurate real-world representation. As many global disease spread models already exist, it was posited by the authors that for the PANDHUB project an entirely new approach may not be necessary and instead there is greater benefit in identifying a range of existing models and assessing their suitability in considering the pandemic disease scenarios. We performed a scoping study to assess the need for the development of a novel global disease spread model. This study involved conducting a systematic literature search and identifying good practice modelling methods and finding data sources with which to parameterise and validate them.