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How to avoid a second wave of COVID-19 after reopening the economy is apressing question. The extremely high basic reproductive number $R_0$ (5.7 to6.4, 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 (tomaintain inter-personal distance) plus privacy-preserving contact tracing. Tosolve the dual task, we developed an open source mobile app. The app uses aBluetooth-based, decentralized contact tracing platform over which theanonymous 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, withprivacy-preserving contact tracing, would suffice to decrease the $R_0$ to lessthan 1 and prevent the resurgence of COVID-19 epidemic.

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