A synthetic population dataset for estimating small area health and socio-economic outcomes in Great Britain.

ABSTRACT: In order to understand the health outcomes for distinct sub-groups of the population or across different geographies, it is advantageous to be able to build bespoke groupings from individual level data. Individuals possess distinct characteristics, exhibit distinct behaviours and accumulate their own unique history of exposure or experiences. However, in most disciplines, not least public health, there is a lack of individual level data available outside of secure settings, especially covering large portions of the population. This paper provides detail on the creation of a synthetic micro dataset for individuals in Great Britain who have detailed attributes which can be used to model a wide range of health and other outcomes. These attributes are constructed from a range of sources includ

SUBMITTER: Wu G 

PROVIDER: S-EPMC8776798 | biostudies-literature | 2022 Jan

REPOSITORIES: biostudies-literature