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arXiv · 2006.16611

Social Distancing 2.0 with Privacy-Preserving Contact Tracing to Avoid a Second Wave of COVID-19

Yu-Chen Ho·Yi-Hsuan Chen·Shen-Hua Hung·Chien-Hao Huang·Poga Po·Chung-Hsi Chan·Di-Kai Yang·Yi-Chin Tu·Tyng-Luh Liu·Chi-Tai Fang
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Abstract

How to avoid a second wave of COVID-19 after reopening the economy is a pressing question. The extremely high basic reproductive number $R_0$ (5.7 to 6.4, shown in new studies) of SARS-CoV-2 further complicates the challenge. Here we assess effects of Social distancing 2.0, i.e. proximity alert (to maintain inter-personal distance) plus privacy-preserving contact tracing. To solve the dual task, we developed an open source mobile app. The app uses a Bluetooth-based, decentralized contact tracing platform over which the anonymous user ID cannot be linked by the government or a third party. Modelling results show that a 50\% adoption rate of Social distancing 2.0, with privacy-preserving contact tracing, would suffice to decrease the $R_0$ to less than 1 and prevent the resurgence of COVID-19 epidemic.

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Yu-Chen Ho, Yi-Hsuan Chen, Shen-Hua Hung, Chien-Hao Huang, Poga Po, Chung-Hsi Chan, Di-Kai Yang, Yi-Chin Tu, Tyng-Luh Liu, Chi-Tai Fang. 2020-06-30. Social Distancing 2.0 with Privacy-Preserving Contact Tracing to Avoid a Second Wave of COVID-19. https://arxiv.org/abs/2006.16611

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