Paper Title :Spatial Mathematical Analysis: An Application to Mapping of Dengue Hemorrhagic Fever in Thailand
Author :Sunee Sammatat, Krisada Lekdee, Nitaya Boonsith
Article Citation :Sunee Sammatat ,Krisada Lekdee ,Nitaya Boonsith ,
(2017 ) " Spatial Mathematical Analysis: An Application to Mapping of Dengue Hemorrhagic Fever in Thailand " ,
International Journal of Management and Applied Science (IJMAS) ,
pp. 61-64,
Volume-3,Issue-6
Abstract : A generalized linear mixed model (GLMM) with spatial random effects for spatial data is proposed. The random
effects are assumed to be normally distributed and the spatial random effects are assumed to be a proper conditional
autoregressive (proper CAR) model. A hierarchical Bayesian method is used for parameter estimation. The proposed model
is applied to dengue hemorrhagic fever (DHF) data in Thailand. Seasons and some climatic covariates, rainfall and
temperature, are also considered. The DHF maps are constructed from the posterior means of the morbidity rates.
Keywords- Dengue hemorrhagic fever (DHF) mapping, Generalized linear mixed model (GLMM), Proper Conditional
autoregressive model (proper CAR), Spatial random effects
Type : Research paper
Published : Volume-3,Issue-6
DOIONLINE NO - IJMAS-IRAJ-DOIONLINE-8453
View Here
Copyright: © Institute of Research and Journals
|
|
| |
|
PDF |
| |
Viewed - 48 |
| |
Published on 2017-08-30 |
|