TY - JOUR
T1 - Next Generation Technology for Epidemic Prevention and Control
T2 - Data-Driven Contact Tracking
AU - Chen, Hechang
AU - Yang, Bo
AU - Pei, Hongbin
AU - LIU, Jiming
N1 - Funding Information:
This work was supported in part by the National Natural Science Foundation of China under Grant 61572226 and 61876069, and in part by the Jilin Province Key Scientific and Technological Research and Development Project under Grant 20180201067GX and Grant 20180201044GX.
PY - 2019/1
Y1 - 2019/1
N2 - Contact tracking is one of the key technologies in prevention and control of infectious diseases. In the face of a sudden infectious disease outbreak, contact tracking systems can help medical professionals quickly locate and isolate infected persons and high-risk individuals, preventing further spread and a large-scale outbreak of infectious disease. Furthermore, the transmission networks of infectious diseases established using contact tracking technology can aid in the visualization of actual virus transmission paths, which enables simulations and predictions of the transmission process, assessment of the outbreak trend, and further development and deployment of more effective prevention and control strategies. Exploring effective contact tracking methods will be significant. Governments, academics, and industries have all given extensive attention to this goal. In this paper, we review the developments and challenges of current contact tracing technologies regarding individual and group contact from both static and dynamic perspectives, including static individual contact tracing, dynamic individual contact tracing, static group contact tracing, and dynamic group contact tracing. With the purpose of providing useful reference and inspiration for researchers and practitioners in related fields, directions in multi-view contact tracing, multi-scale contact tracing, and AI-based contact tracing are provided for next-generation technologies for epidemic prevention and control.
AB - Contact tracking is one of the key technologies in prevention and control of infectious diseases. In the face of a sudden infectious disease outbreak, contact tracking systems can help medical professionals quickly locate and isolate infected persons and high-risk individuals, preventing further spread and a large-scale outbreak of infectious disease. Furthermore, the transmission networks of infectious diseases established using contact tracking technology can aid in the visualization of actual virus transmission paths, which enables simulations and predictions of the transmission process, assessment of the outbreak trend, and further development and deployment of more effective prevention and control strategies. Exploring effective contact tracking methods will be significant. Governments, academics, and industries have all given extensive attention to this goal. In this paper, we review the developments and challenges of current contact tracing technologies regarding individual and group contact from both static and dynamic perspectives, including static individual contact tracing, dynamic individual contact tracing, static group contact tracing, and dynamic group contact tracing. With the purpose of providing useful reference and inspiration for researchers and practitioners in related fields, directions in multi-view contact tracing, multi-scale contact tracing, and AI-based contact tracing are provided for next-generation technologies for epidemic prevention and control.
KW - Contact tracking
KW - disease transmission
KW - epidemic modeling
KW - heterogeneous data mining
UR - http://www.scopus.com/inward/record.url?scp=85059256965&partnerID=8YFLogxK
U2 - 10.1109/ACCESS.2018.2882915
DO - 10.1109/ACCESS.2018.2882915
M3 - Journal article
AN - SCOPUS:85059256965
SN - 2169-3536
VL - 7
SP - 2633
EP - 2642
JO - IEEE Access
JF - IEEE Access
M1 - 8587238
ER -
