Communication-inspired Model of Epidemics

Chen, Yifan1; Zhou, Yu2,3; Murch, Ross3; Nakano, Tadashi4

10.1109/SECONW.2018.8396346

2018

2473-0440

978-1-5386-5242-8

2018 IEEE INTERNATIONAL CONFERENCE ON SENSING, COMMUNICATION, AND NETWORKING (SECON WORKSHOPS)

84-87

11-11 June 2018

Hung Hom, Kowloon, Hong kong

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

We propose a novel communication-inspired model of contagion phenomena and mitigation strategies by establishing the one-to-one correspondence between the essential components comprising information transmission and epidemic spreading. We then present the notions of normalized ensemble-average prevalence (NEAP) and prevalence delay profile (PDP) to characterize the relative impact and time difference of all the epidemic spreading paths, which are analogous to the classical description methods of path loss and power delay profile in communications. The proposed framework provides an intuitive, coherent, and efficient approach for characterization of the disease outbreaks by applying the well-established communication theories as the analytical lens.

Non-electromagnetism-based communications communication-inspired model of epidemics

其他

英语

CPCI-S ; EI

Guangdong Natural Science Funds[2016A030313640]

Computer Science ; Remote Sensing ; Telecommunications

Computer Science, Hardware & Architecture ; Remote Sensing ; Telecommunications

WOS:000468321500018

20183105621905

Information theory

Health Care:461.7 ; Information Theory and Signal Processing:716.1

Web of Science

1.Univ Waikato, Hamilton, New Zealand
2.Southern Univ Sci & Technol, Shenzhen, Peoples R China
3.Hong Kong Univ Sci & Technol, Hong Kong, Peoples R China
4.Osaka Univ, Suita, Osaka, Japan

Chen, Yifan,Zhou, Yu,Murch, Ross,et al. Communication-inspired Model of Epidemics[C]. 345 E 47TH ST, NEW YORK, NY 10017 USA:IEEE,2018:84-87.