Spatio-temporal patterning of small area low birth weight incidence and its correlates: A latent spatial structure approachopen access
- Authors
- Kirby, Russell S.; Liu, Jihong; Lawson, Andrew B.; Choi, Jungsoon; Cai, Bo; Hossain, Monir
- Issue Date
- Dec-2011
- Publisher
- Elsevier BV
- Keywords
- Latent structure; Low birth weight; Small area; Socio-economic; Spatial; Temporal
- Citation
- Spatial and Spatio-temporal Epidemiology, v.2, no.4, pp.265 - 271
- Indexed
- SCOPUS
- Journal Title
- Spatial and Spatio-temporal Epidemiology
- Volume
- 2
- Number
- 4
- Start Page
- 265
- End Page
- 271
- URI
- https://scholarworks.bwise.kr/hanyang/handle/2021.sw.hanyang/166766
- DOI
- 10.1016/j.sste.2011.07.011
- ISSN
- 1877-5845
- Abstract
- Low birth weight (LBW) defined as infant weight at birth of less than 2500. g is a useful health outcome for exploring spatio-temporal variation and the role of covariates. LBW is a key measure of population health used by local, national and international health organizations. Yet its spatio-temporal patterns and their dependence structures are poorly understood. In this study we examine the use of flexible latent structure models for the analysis of spatio-temporal variation in LBW. Beyond the explanatory capabilities of well-known predictors, we observe spatio-temporal effects, which are not directly observable using conventional modeling approaches. Our analysis shows that for county-level counts of LBW in Georgia and South Carolina the proportion of black population is a positive risk factor while high-income is a negative risk factor. Two dominant residual temporal components are also estimated. Finally our proposed method provides a better goodness-of-fit to these data than the conventional space-time models.
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