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    Winter Is Coming: A Socio-Environmental Monitoring and Spatiotemporal Modelling Approach for Better Understanding a Respiratory Disease (2018)

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    Type of Content
    Journal Article
    UC Permalink
    https://hdl.handle.net/10092/100972
    
    Publisher's DOI/URI
    http://doi.org/10.3390/ijgi7110432
    
    ISSN
    2220-9964
    Collections
    • Geospatial Research Institute: Publications [4]
    Authors
    Marek, Lukas
    Campbell, Malcolm
    Epton, Michael
    Kingham, S.
    Storer, M.
    show all
    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.

    Citation
    Marek L, Campbell M, Epton M, Kingham S, Storer M (2018). Winter Is Coming: A Socio-Environmental Monitoring and Spatiotemporal Modelling Approach for Better Understanding a Respiratory Disease. ISPRS International Journal of Geo-Information. 7(11).
    This citation is automatically generated and may be unreliable. Use as a guide only.
    Keywords
    Chronic Obstructive Pulmonary Disease (COPD), winter; air pollution; deprivation; spatiotemporal pattern; clustering; Geographically weighted Poisson regression (GWPR)
    ANZSRC Fields of Research
    40 - Engineering::4013 - Geomatic engineering::401302 - Geospatial information systems and geospatial data modelling
    42 - Health sciences::4203 - Health services and systems::420308 - Health informatics and information systems
    Rights
    All rights reserved unless otherwise stated
    http://hdl.handle.net/10092/17651

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