ArticleSpatial and spatio-temporal epidemiology2016
Investigating trends in asthma and COPD through multiple data sources: A small area study.
Article in Spatial and spatio-temporal epidemiology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
12 citing papers in PubMed.
- The Use of a Smartphone App and an Activity Tracker to Promote Physical Activity in the Management of Chronic Obstructive Pulmonary Disease: Randomized Controlled Feasibility Study.JMIR mHealth and uHealth · 2020Trial
- Maternal Folic Acid Supplementation, Perinatal Factors, and Pre-Adolescent Asthma: Findings from the Healthy Growth Study.Nutrients · 2025Article
- Impact of electronic cigarettes (e-cigs) and heat-not-burn/heated tobacco products (HnB/HTP) on asthma and chronic obstructive pulmonary disease: a viewpoint of the Italian Society of Internal Medicine.Internal and emergency medicine · 2024Review
- A Bayesian spatio-temporal analysis of neighborhood pediatric asthma emergency department visit disparities.Health & place · 2020Article
- A Bayesian mixture modeling approach for public health surveillance.Biostatistics (Oxford, England) · 2020Article
- Advances in spatiotemporal models for non-communicable disease surveillance.International journal of epidemiology · 2020Review
- A geographic identifier assignment algorithm with Bayesian variable selection to identify neighborhood factors associated with emergency department visit disparities for asthma.International journal of health geographics · 2020Article
- Pilot Study of Chronic Obstructive Pulmonary Disease in an Industrial Town in India.Journal of health & pollution · 2019Article
- Effect of risk-based payment model on caries inequalities in preschool children assessed by geo-mapping.BMC oral health · 2018Article
- Exploration of the spatial patterns and determinants of asthma prevalence and health services use in Ontario using a Bayesian approach.PloS one · 2018Article
- Autophagy and airway fibrosis: Is there a link?F1000Research · 2017Review
- Unequal Access, Unequal Outcomes: Analyzing Chronic Obstructive Pulmonary Disease Hospital Admissions Across Clinical Commissioning Groups.Open respiratory archivesArticle
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
This paper investigates trends in asthma and COPD by using multiple data sources to help understanding the relationships between disease prevalence, morbidity and mortality. GP drug prescriptions, hospital admissions, and deaths are analysed at clinical commissioning group (CCG) level in England from August 2010 to March 2011. A Bayesian hierarchical model is used for the analysis, which takes into account the complex space and time dependencies of asthma and COPD, while it is also able to detect unusual areas. Main findings show important discrepancies across the different data sources, reflecting the different groups of patients that are represented. In addition, the detection mechanism that is provided by the model, together with inference on the spatial, and temporal variation, provide a better picture of the respiratory health problem.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.