CONTACT TRACING ENHANCES THE EFFICIENCY OF COVID-19 GROUP TESTING

doi:10.1109/ICASSP39728.2021.9414034

	CONTACT TRACING ENHANCES THE EFFICIENCY OF COVID-19 GROUP TESTING
	Ritesh Goenka 1; Shu-Jie Cao2 ; Chau-Wai Wong 3; Ajit Rajwade 1; Dror Baron 3
	2021
会议录名称	2021 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING (ICASSP 2021)
ISSN	1520-6149
卷号	2021-June
页码	8168-8172
发表状态	已发表
DOI	10.1109/ICASSP39728.2021.9414034
摘要	Group testing can save testing resources in the context of the ongoing COVID-19 pandemic. In group testing, we are given n samples, one per individual, and arrange them into m < n pooled samples, where each pool is obtained by mixing a subset of the n individual samples. Infected individuals are then identified using a group testing algorithm. In this paper, we use side information (SI) collected from contact tracing (CT) within nonadaptive/single-stage group testing algorithms. We generate data by incorporating CT SI and characteristics of disease spread between individuals. These data are fed into two signal and measurement models for group testing, where numerical results show that our algorithms provide improved sensitivity and specificity. While Nikolopoulos et al. utilized family structure to improve nonadaptive group testing, ours is the first work to explore and demonstrate how CT SI can further improve group testing performance.
会议录编者/会议主办者	IEEE, Inst Elect & Elect Engineers, Signal Proc Soc ; The Institute of Electrical and Electronics Engineers Signal Processing Society
关键词	Contact tracing nonadaptive group testing compressed sensing overlapping group LASSO generalized approximate message passing (GAMP) Family structure Measurement model Non adaptive group testing Numerical results Sensitivity and specificity Side information Testing resources
会议名称	IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
会议地点	ELECTR NETWORK
会议日期	JUN 06-11, 2021
URL	查看原文
收录类别	CPCI-S ; CPCI ; EI
语种	英语
WOS记录号	WOS:000704288408090
出版者	IEEE
EI入藏号	20213810920119
EI主题词	Signal processing
EI分类号	716.1 Information Theory and Signal Processing
原始文献类型	Proceedings Paper
来源库	IEEE
引用统计	正在获取...
文献类型	会议论文
条目标识符	https://kms.shanghaitech.edu.cn/handle/2MSLDSTB/131962
专题	信息科学与技术学院_本科生
作者单位	1.IIT Bombay, India 2.ShanghaiTech University, China 3.North Carolina State University, USA
推荐引用方式 GB/T 7714	Ritesh Goenka,Shu-Jie Cao,Chau-Wai Wong,et al. CONTACT TRACING ENHANCES THE EFFICIENCY OF COVID-19 GROUP TESTING[C]//IEEE, Inst Elect & Elect Engineers, Signal Proc Soc, The Institute of Electrical and Electronics Engineers Signal Processing Society:IEEE,2021:8168-8172.