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http://dx.doi.org/10.7465/jkdi.2016.27.5.1183

Spatio-temporal analysis of tuberculosis mortality estimations in Korea  

Park, Jincheol (Department of Statistics, Keimyung University)
Kim, Changhoon (Department of Occupational and Preventive Medicine, Pusan National University School of Medicine)
Han, Junhee (Division of Biostatistics, Pusan National University Yangsan Hospital)
Publication Information
Journal of the Korean Data and Information Science Society / v.27, no.5, 2016 , pp. 1183-1191 More about this Journal
Abstract
According to WHO (World Health Organization), Korea ranked 1st place for TB mortality rate among OECD countries. In order to improve the situation, several administrative policies have been suggested and their efforts start showing some improvement. Meanwhile, those policies must be supported by solid scientific evidences by conducting appropriate statistical analyses. In particular, incidence and mortality rates of respiratory infectious disease such as TB must be analyzed considering their geographical characteristics. In this paper, we analyzed TB mortality rates in Korea from 2000 to 2011 using one of bayesian spatio-temporal models, which is implemented as R package (R-INLA).
Keywords
Bayesian approach; R-INLA package; spatio-temporal models; TB mortality estimation;
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