English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The rates of respiratory prescriptions vary by GP surgery across Scotland,suggesting there are sizeable health inequalities in respiratory ill healthacross the country. The aim of this paper is to estimate the magnitude, spatialpattern and drivers of this spatial variation. Monthly data on respiratoryprescriptions are available at the GP surgery level, which creates aninteresting methodological challenge as these data are not the classicalgeostatistical, areal unit or point process data types. A novelprocess-convolution model is proposed, which extends existing methods by beingan adaptive smoother via a random weighting scheme and using a taperingfunction to reduce the computational burden. The results show that particulateair pollution, poverty and ethnicity all drive the health inequalities, whilethere are additional regional inequalities in rates after covariate adjustment.

A spatio-temporal process-convolution model for quantifying health inequalities in respiratory prescription rates in Scotland