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This article explores developing a smartphone application, an app, to enable improved contact tracing to prevent the spread of infections. Topics include the key components of a digital contact tracing app- privacy-preserving systems, integration of the app into both the smartphone’s operating system and the public health system, and the challenges in app deployment.

Secure multi-party computation is a practical cryptographic method for processing confidential data. Research progress has led to its use in privacy-preserving statistical analysis. Implementations of simple statistical analysis functions have been published, but no comprehensive tool has been built. We describe and implement a suite of most used statistical analysis functions in the privacy-preserving setting including simple statistics, t-test, chi-squared test, Wilcoxon tests and linear regression. We give descriptions of the privacy-preserving algorithms and benchmark results that show an order of magnitude improvement over previous work.