The epidemiologists at JHU certainly understand this stuff better than I do, but a couple things about this article stood out to me. Is there an epidemiologist out there who could comment?<p>- The herd immunity threshold depends on the reproduction number of the disease (R0). There's a basic reproduction number which is the rate they expect based on properties of the virus, and an effective reproduction number which is what ends up happening in reality. When effective R<1 the virus starts to die out.<p>- The basic number can't be changed but the effective number can be changed dramatically. Lockdowns and social distancing have already changed it, with varying levels of success in different locations.<p>- I have seen numbers thrown around that peg the herd immunity threshold for COVID-19 at 50-70%. This number is actually influenced by R, the lower R is, the lower your herd immunity threshold goes. JHU uses 70% here and that's the most pessimistic estimate I have seen.<p>- Wouldn't good, sustained social distancing lower effective R and thus produce a herd immunity threshold lower than 70%, perhaps much lower?<p>- New York is at 15-20% exposure already.<p>I read this article from the Oxford Centre for Evidence-Based Medicine a while back which observed that the early estimates for epidemics and pandemics are invariably worse than what ends up happening in reality, and it got me thinking. <a href="https://www.cebm.net/covid-19/global-covid-19-case-fatality-rates/" rel="nofollow">https://www.cebm.net/covid-19/global-covid-19-case-fatality-...</a><p>My personal bias is that I don't believe it is even possible, let alone wise, to keep people locked down on the time scales that are needed for controlling this virus, so they just kick the can down the road. But unprecedented levels of social distancing <i>might</i> be possible if we are smart enough. Every single person who works from home, wears a mask, or keeps their distance in public is helping.