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Network effects re-release: when the power of a public health measure lies in widespread adoption

Network effects re-release: when the power of a public health measure lies in widespread adoption

FromLinear Digressions


Network effects re-release: when the power of a public health measure lies in widespread adoption

FromLinear Digressions

ratings:
Length:
27 minutes
Released:
Mar 15, 2020
Format:
Podcast episode

Description

This week’s episode is a re-release of a recent episode, which we don’t usually do but it seems important for understanding what we can all do to slow the spread of covid-19. In brief, public health measures for infectious diseases get most of their effectiveness from their widespread adoption: most of the protection you get from a vaccine, for example, comes from all the other people who also got the vaccine.

That’s why measures like social distancing are so important right now: even if you’re not in a high-risk group for covid-19, you should still stay home and avoid in-person socializing because your good behavior lowers the risk for those who are in high-risk groups. If we all take these kinds of measures, the risk lowers dramatically. So stay home, work remotely if you can, avoid physical contact with others, and do your part to manage this crisis. We’re all in this together.
Released:
Mar 15, 2020
Format:
Podcast episode

Titles in the series (100)

Linear Digressions is a podcast about machine learning and data science. Machine learning is being used to solve a ton of interesting problems, and to accomplish goals that were out of reach even a few short years ago.