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Journal article
MULTIVARIATE SPATIOTEMPORAL MODELING OF AGE-SPECIFIC STROKE MORTALITY
The annals of applied statistics, v 11(4), pp 2165-2177
01 Dec 2017
Featured in Collection : UN Sustainable Development Goals @ Drexel
Abstract
Geographic patterns in stroke mortality have been studied as far back as the 1960s when a region of the southeastern United States became known as the "stroke belt" due to its unusually high rates. While stroke mortality rates are known to increase exponentially with age, an investigation of spatiotemporal trends by age group at the county level is daunting due to the preponderance of small population sizes and/or few stroke events by age group. In this paper, we implement a multivariate space-time conditional autoregressive model to investigate age-specific trends in county-level stroke mortality rates from 1973 to 2013. In addition to reinforcing existing claims in the literature, this work reveals that geographic disparities in the reduction of stroke mortality rates vary by age. More importantly, this work indicates that the geographic disparity between the "stroke belt" and the rest of the nation is not only persisting, but may in fact be worsening.
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Details
- Title
- MULTIVARIATE SPATIOTEMPORAL MODELING OF AGE-SPECIFIC STROKE MORTALITY
- Creators
- Harrison Quick - Drexel Univ, Dept Epidemiol & Biostat, Philadelphia, PA 19104 USALance A. Waller - Emory Univ, Dept Biostat & Bioinformat, Atlanta, GA 30322 USAMichele Casper - Ctr Dis Control & Prevent, Div Heart Dis & Stroke Prevent, Atlanta, GA 30329 USA
- Publication Details
- The annals of applied statistics, v 11(4), pp 2165-2177
- Publisher
- Inst Mathematical Statistics
- Number of pages
- 13
- Resource Type
- Journal article
- Language
- English
- Academic Unit
- Epidemiology and Biostatistics
- Web of Science ID
- WOS:000418893000017
- Scopus ID
- 2-s2.0-85042678676
- Other Identifier
- 991019169460304721
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- Collaboration types
- Domestic collaboration
- Web of Science research areas
- Statistics & Probability