Winter Is Coming: A Socio-Environmental Monitoring and Spatiotemporal Modelling Approach for Better Understanding a Respiratory Disease (2018)
Abstract
Chronic Obstructive Pulmonary Disease is a progressive lung disease affecting the respiratory function of every sixth New Zealander and over 300 million people worldwide. In this paper, we explored how the combination of social, demographical and environmental conditions (represented by increased winter air pollution) affected hospital admissions due to COPD in an urban area of Christchurch (NZ). We juxtaposed the hospitalisation data with dynamic air pollution data and census data to investigate the spatiotemporal patterns of hospital admissions. Spatial analysis identified high-risk health hot spots both overall and season specific, exhibiting higher rates in winter months not solely due to air pollution, but rather as a result of its combination with other factors that initiate deterioration of breathing, increasing impairments and lead to the hospitalisation of COPD patients. From this we found that socioeconomic deprivation and air pollution, followed by the age and ethnicity structure contribute the most to the increased winter hospital admissions. This research shows the continued importance of including both individual (composition) and area level (composition) factors when examining and analysing disease patterns.
Keywords
Chronic Obstructive Pulmonary Disease (COPD); winter; air pollution; deprivation; spatiotemporal pattern; clustering; Geographically weighted Poisson regression (GWPR)ANZSRC Fields of Research
32 - Biomedical and clinical sciences::3201 - Cardiovascular medicine and haematology::320103 - Respiratory diseases11 - Medical and Health Sciences::1117 - Public Health and Health Services::111706 - Epidemiology
11 - Medical and Health Sciences::1117 - Public Health and Health Services::111705 - Environmental and Occupational Health and Safety
16 - Studies in Human Society::1604 - Human Geography::160499 - Human Geography not elsewhere classified
Rights
© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).Related items
Showing items related by title, author, creator and subject.
-
Winter is coming: An environmental monitoring and spatiotemporal modelling approach for better understanding of respiratory disease (COPD)
Marek L; Campbell; Kingham, Simon; Epton M; Storer M (2017) -
Towards a more dynamic health geography. Tracking and tracing daily movement and exposure
Campbell MH; Marek L; Curl A; Kingham S (2017) -
The approaches to measuring the potential spatial access to urban health services revisited: distance types and aggregation-error issues
Gelb J; Apparicio P; Dube A-S; Kingham, Simon; Gauvin L; Robitaille E (2017)Background: The potential spatial access to urban health services is an important issue in health geography, spatial epidemiology and public health. Computing geographical accessibility measures for residential areas (e.g. ...