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

Johnson, Olatunji; Gatheral, Tim; Knight, Jo; Giorgi, Emanuele

Johnson, Olatunji; Gatheral, Tim; Knight, Jo; Giorgi, Emanuele.

Affiliation

Johnson O; CHICAS Research Group, Lancaster Medical School, Lancaster University, Bailrigg, Lancaster, UK. Electronic address: o.johnson@lancaster.ac.uk.
Gatheral T; Respiratory Medicine, Royal Lancaster Infirmary, Lancaster, UK.
Knight J; CHICAS Research Group, Lancaster Medical School, Lancaster University, Bailrigg, Lancaster, UK.
Giorgi E; CHICAS Research Group, Lancaster Medical School, Lancaster University, Bailrigg, Lancaster, UK.

Spat Spatiotemporal Epidemiol ; 36: 100392, 2021 02.

Article in En | MEDLINE | ID: mdl-33509425

Subject(s)

Pulmonary Disease, Chronic Obstructive; Hospitalization; Humans; Incidence; Likelihood Functions; Pulmonary Disease, Chronic Obstructive/diagnosis; Pulmonary Disease, Chronic Obstructive/epidemiology; Pulmonary Disease, Chronic Obstructive/etiology; Weather

Key words

COPD; Early warning system; Exceedance probabilities; Generalised linear mixed model; Spatio-temporal models

Fulltext

Add to My VHL

XML

PubMed Links

Search on Google

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Pulmonary Disease, Chronic Obstructive Type of study: Diagnostic_studies / Etiology_studies / Incidence_studies / Prognostic_studies / Risk_factors_studies Limits: Humans Language: En Journal: Spat Spatiotemporal Epidemiol Year: 2021 Document type: Article Country of publication: Netherlands

Fulltext

Add to My VHL

XML

PubMed Links

Search on Google