Title
Characterizing and Discovering Spatiotemporal Social Contact Patterns for Healthcare.
Abstract
During an epidemic, the spatial, temporal and demographic patterns of disease transmission are determined by multiple factors. In addition to the physiological properties of the pathogens and hosts, the social contact of the host population, which characterizes the reciprocal exposures of individuals to infection according to their demographic structure and various social activities, are also pivo...
Year
DOI
Venue
2017
10.1109/TPAMI.2016.2605095
IEEE Transactions on Pattern Analysis and Machine Intelligence
Keywords
Field
DocType
Diseases,Tensile stress,Spatiotemporal phenomena,Data models,Sociology,Statistics,Deconvolution
Health care,Data modeling,Data mining,Population,Disease,Computer science,Data type,Spatial ecology
Journal
Volume
Issue
ISSN
39
8
0162-8828
Citations 
PageRank 
References 
1
0.35
0
Authors
5
Name
Order
Citations
PageRank
Bo Yang182264.08
Hongbin Pei2164.25
Hechang Chen3189.53
Jiming Liu43241312.47
Shang Xia511.37