Table 1.

Summary of general principles of good modelling practice.

Principle	Reference
The type and scope of the economic or epidemiological evaluation should fit the requirements of the decision maker.	[20,21]
Dynamic models should be used unless it can be demonstrated that herd effects are unimportant.	[[19], [20], [21]]
Publications should include: results stratified by subgroup (e.g. age or sex), health outcomes in natural units, intermediate outcomes (e.g. pre-cancerous lesions) and sexual mixing assumptions.	[21,23]
Goodness of fit to data should be shown where appropriate.a	[22,23]
Sensitivity analysis (considering whether a probabilistic approach is appropriate) should be used and should include the discount rate.	[[20], [21], [22], [23]]
All diseases that are relevant to the intervention should be incorporated.	[23]

^aHow the authors describe and document these aspects should be a decision they make. For example, some authors choose to develop online webpages which provide an enduring reference for subsequent publications. Another alternative is to utilise technical appendices and/or reference previous work as applicable.