Privacy researchers, govts, and tech companies work on contact tracing apps, hoping to curb down the pandemic. We often hear that 56, 60, or 70% of the population would need to install these apps. These are likely incorrect reads of a paper published by Ferretti et al. Thread ⤵️ https://twitter.com/Telegraph/status/1254387257982758913
Fig. 3 is often discussed online. It shows that immediate contact tracing can curb the pandemic by itself, if we isolate 80% of symptomatic cases and quarantine 40% of contacts *immediately*, or 50/60%, or 20/70%, etc. ⚠️ BUT…
It needs to be nuanced:
— there are confidence intervals in the panels of Fig 3
— it's based on a very specific empirical dataset to train the model (“early stages of the epidemic in China”)
— the authors note that this might not be generalised to Europe 😬
So why do we hear that 60% of the pop need to install the app vs. the “near-universal App usage and near-perfect compliance” in the Discussion section?

The model assumes a reproduction number R0 of 2.0: infected, I'll contaminate 2 people. With confidence intervals of 1.7-2.5!
A recent study from France (not yet peer reviewed) shows that this reproduction number could have been as high as 3.3 before the French lockdown: https://hal-pasteur.archives-ouvertes.fr/pasteur-02548181

Ferretti et al. illustrate this high R0 in supplementary materials (Figs S18 and S19).
Oxford researchers also suggested FT to use a high R0 of 3.5 for their modelling in https://www.ft.com/content/f9fbc64c-4473-4109-b6d3-737936d6805d
If you go back to Fig S19, that would mean that with immediate contact tracing, 100% success in isolating cases and 85% in quarantining contacts might be needed in Europe. With a delay of 24h, it seems impossible.

Is that possible given our smartphone penetration rate?
My takeaway as a privacy researcher is that (A), as much as we focus on developing sensible tracking technologies, we should remember that these are unlikely to curb the pandemic alone (because “requiring near-universal App usage and near-perfect compliance”) and
(B) that we should be careful when using numbers such as “60%, 70%, 80% of the population will have to install these apps” because that might not reflect the findings of epidemiologists. Findings that evolve as days pass, new data emerge, and public policies change.
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