A modelling framework for developing early warning systems of COPD emergency admissions

Spatial and Spatio-temporal Epidemiology 36:100392 (2021)

Journal article

Authors

Olatunji Johnson

Timothy Gatheral

Jo Knight

Emanuele Giorgi

Published

February 1, 2021

Doi

10.1016/j.sste.2020.100392

Links: Publisher (DOI)

Summary. Develops a likelihood-based geostatistical framework for detecting threshold exceedances in COPD emergency admissions using Poisson generalised linear mixed models, incorporating pollution, weather, and deprivation domains as predictors. Demonstrates that socioeconomic factors substantially improve early warning accuracy.