A Survey on Contact Tracing: the Latest Advancements and Challenges
November 04, 2020 ยท The Cartographer ยท ๐ ACM Trans. Spatial Algorithms Syst.
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"Title-pattern auto-detect: A Survey on Contact Tracing: the Latest Advancements and Challenges"
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Authors
Ting Jiang, Yang Zhang, Minhao Zhang, Ting Yu, Yizheng Chen, Chenhao Lu, Ji Zhang, Zhao Li, Jun Gao, Shuigeng Zhou
arXiv ID
2011.02094
Category
cs.SI: Social & Info Networks
Cross-listed
cs.CR
Citations
16
Venue
ACM Trans. Spatial Algorithms Syst.
Last Checked
2 days ago
Abstract
Infectious diseases are caused by pathogenic microorganisms, such as bacteria, viruses, parasites or fungi, which can be spread, directly or indirectly, from one person to another. Infectious diseases pose a serious threat to human health, especially COVID-19 that has became a serious worldwide health concern since the end of 2019. Contact tracing is the process of identifying, assessing, and managing people who have been exposed to a disease to prevent its onward transmission. Contact tracing can help us better understand the transmission link of the virus, whereby better interrupting its transmission. Given the worldwide pandemic of COVID-19, contact tracing has become one of the most critical measures to effectively curb the spread of the virus. This paper presents a comprehensive survey on contact tracing, with a detailed coverage of the recent advancements the models, digital technologies, protocols and issues involved in contact tracing. The current challenges as well as future directions of contact tracing technologies are also presented.
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