[2005.08502] COVI White Paperopen searchopen navigation menucontact arXivarXiv Twitter

The SARS-CoV-2 (Covid-19) pandemic has caused significant strain on public health institutions around the world. Contact tracing is an essential tool to change the course of the Covid-19 pandemic. Manual contact tracing of Covid-19 cases has significant challenges that limit the ability of public health authorities to minimize community infections. Personalized peer-to-peer contact tracing through the use of mobile apps has the potential to shift the paradigm. Some countries have deployed centralized tracking systems, but more privacy-protecting decentralized systems offer much of the same benefit without concentrating data in the hands of a state authority or for-profit corporations. Machine learning methods can circumvent some of the limitations of standard digital tracing by incorporating many clues and their uncertainty into a more graded and precise estimation of infection risk. The estimated risk can provide early risk awareness, personalized recommendations and relevant informat

6 mentions: @irinarish@anirudhg9119@nasim_rahaman@DeanLeckey
Date: 2020/05/19 18:52

Referring Tweets

@irinarish Our "COVI White Paper" t.co/ZQuwU593aC describing the COVID-19 tracing and risk estimation app developed by @MILAMontreal and many collaborators. t.co/zy7rJLIYmp
@anirudhg9119 A white paper by my colleagues at @MILAMontreal and many collaborators describing the COVID-19 tracing and risk estimation. t.co/L7VOMEQHx7
@nasim_rahaman A whitepaper on the COVI Canada project at @MILAMontreal (with contributions from @MPI_IS) is live, with more good things underway. Check it out! t.co/oON6dHBAQ2

Related Entries

Read more [1910.06922] Connections between Support Vector Machines, Wasserstein distance and gradient-penalty ...
0 users, 8 mentions 2019/10/16 08:19
Read more [1910.11858] BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search
0 users, 6 mentions 2019/10/28 23:20
Read more [1911.13299] What's Hidden in a Randomly Weighted Neural Network?
0 users, 17 mentions 2019/12/02 14:20
Read more [2001.01230] Learning fine-grained search space pruning and heuristics for combinatorial optimizatio...
0 users, 1 mentions 2020/02/06 11:21
Read more [2005.07683] Movement Pruning: Adaptive Sparsity by Fine-Tuningopen searchopen navigation menucontac...
0 users, 5 mentions 2020/05/18 02:21