Harrison Smalley
Chronic back pain prevalence at small area level in England - the design and validation of a 2-stage static spatial microsimulation model
Smalley, Harrison; Edwards, Kimberley
Authors
Professor KIMBERLEY EDWARDS KIMBERLEY.EDWARDS@NOTTINGHAM.AC.UK
PROFESSOR OF SPORT, EXERCISE AND NUTRITION EDUCATION
Abstract
Spatially disaggregated estimates provide valuable insights into the nature of a disease. They highlight inequalities, aid public health planning and identify avenues for further research. Spatial microsimulation is advantageous in that it can be used to create large microdata sets with intact microlevel relationships between variables, which allows analysis of relationships between variables locally. This methodological paper outlines the design and validation of a 2-stage static spatial microsimulation model for chronic back pain prevalence across England, suitable for policy modelling. Data used was obtained from the Health Survey for England and the 2011 Census. Microsimulation was performed using SimObesity, a previously validated static deterministic program, and the synthetic chronic back pain microdataset was internally validated. The paper also highlights modelling considerations for researchers embarking on similar work, as well as future directions for research in this area of microsimulation.
Citation
Smalley, H., & Edwards, K. (2024). Chronic back pain prevalence at small area level in England - the design and validation of a 2-stage static spatial microsimulation model. Spatial and Spatio-temporal Epidemiology, 48, Article 100633. https://doi.org/10.1016/j.sste.2023.100633
Journal Article Type | Article |
---|---|
Acceptance Date | Dec 30, 2023 |
Online Publication Date | Dec 31, 2023 |
Publication Date | 2024-02 |
Deposit Date | Mar 22, 2024 |
Publicly Available Date | Mar 22, 2024 |
Journal | Spatial and Spatio-temporal Epidemiology |
Print ISSN | 1877-5845 |
Electronic ISSN | 1877-5853 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 48 |
Article Number | 100633 |
DOI | https://doi.org/10.1016/j.sste.2023.100633 |
Keywords | Humans, Back Pain - epidemiology, England - epidemiology, Prevalence, Public Health, Health Surveys, England, Spatial microsimulation, Chronic back pain, Deterministic reweighting, Health inequality, Small area estimation |
Public URL | https://nottingham-repository.worktribe.com/output/32159055 |
Publisher URL | https://www.sciencedirect.com/science/article/pii/S1877584523000709?via%3Dihub |
Files
Chronic back pain prevalence
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Publisher Licence URL
https://creativecommons.org/licenses/by/4.0/
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