This guide is intended as an introduction to interpreting the results of mathematical modelling studies in epidemiology. Such studies are increasingly used to support decision-making related to immunisation policy and the control of vaccine preventable diseases. The guide is designed to be read either in full or on a section by section basis, with these sections closely relating to the ordering of material in published modelling papers. Where it has been essential to use more technical terms to convey a precise message, these have been italicized to indicate inclusion in the attached glossary found on pages 24-26 of this document.
The guidance has been kept fairly general as we could not cover the large variety of specific details that appear in the literature. References for further reading are provided at the end of the document.
The guidelines presented here have been developed to assist researchers who are conducting, and ethics committee members who are assessing, research involving digital data.
Digital data presents researchers and ethics committees with familiar and novel ethical issues. Accepted strategies for managing issues such as privacy and confidentiality, and informed consent, need rethinking.
The qualities of digital data, including its mobility and replicability, present new kinds of ethical issues which emerge in relation to data governance, data security and data management.
This document has five parts.