Displaying results 1 - 2 of 2
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Modeling spatial and temporal variability by Bayesian multilevel model
Content Type: Abstract
The early detection of outbreaks of diseases is one of the most challenging objectives of epidemiological surveillance systems. In order to achieve this goal, the primary foundation is using those big surveillance data for understanding and… read more -
Spatial Clustering of ILI in Yunnan Province, China, Based on a Geographical Information System
Content Type: Abstract
Influenza is a highly contagious, acute respiratory disease that causes periodic seasonal epidemics and global pandemics[1]. Yunnan Province is characterized by poverty, multi-ethnic, and cross-border movement, which maybe be susceptible of… read more