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 develop 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. Modeling 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.
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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