Herd Immunity Recalculated

In May, the blog showed that Covid-19 has a Herd Immunity threshold of 60%-75%. In other words, 60%-75% of the population must have immunity (from prior infection and vaccination) to prevent epidemic spread of the disease.

This was based on R0, the basic reproduction number, being 2.5 for Covid-19 (green bar on this graph).

With the increase of the Alpha and Delta variants becoming the major coronaviruses in many countries, including the UK, Canada and the U.S., this has now changed.

The Alpha variant is 1.5 times more transmissible than the initial coronavirus.
The Delta  variant is 1.6 times more transmissible than the Alpha variant.

This increases R0 to 2.5 x 1.5 x 1.6 = 6.0

Reading up from 6.0 on the horizontal axis of the graph we get a Herd Immunity threshold of .85. This means that 85% of the population needs to be immune. This is a big part of the explanation for the sudden spike in cases in the UK and the U.S.

https://tinyurl.com/76t5h6vn

The other part of the explanation is that while single vaccination rates went up sufficiently to protect against the Alpha variant, protection against the Delta variant really requires full vaccination. The immunity level of fully vaccinated people has not reached the 85% level in any of these countries. Add 10% to the numbers in the following graph to include people with immunity from prior Covid-19 infections to get the total immunity level for the population.

https://tinyurl.com/bn353kvy

The other big problem is that as the number of people vaccinated increases, there is a slower vaccination rate. People with vaccine hesitancy make up a larger proportion of the people who are unvaccinated. The graph above shows this as a decrease in the slope of the line. This has occurred in the UK and very significantly in the U.S. since mid-May. Canada does not show this slowdown yet.

A simple projection of the above chart, assuming these countries maintain their current vaccination rate, shows the following results for reaching herd immunity when about 80% of the population is fully vaccinated:

Canada in August
UK in November
U.S. in January 2022

Author: Ernie Dainow

I was fascinated with mathematics at an early age. In university I became more interested in how people think and began graduate work in psychology. The possibilities of using computers to try to understand the brain by simulating learning and thinking became an exciting idea and I completed a Master’s degree in Artificial Intelligence in Computer Science. My interest in doing research shifted to an interest in building systems. I worked for 40+ years in the computer field, on large mainframe computers, then personal computers, doing software development for academic and scientific research, business and financial applications, data networks, hardware products and the Internet. After I retired I began writing to help people understand computers, software, smartphones and the Internet. You can download my free books from Apple iBooks, Google Play Books and from https://www.smashwords.com/profile/view/edainow

3 thoughts on “Herd Immunity Recalculated”

  1. not sure but when u re-calculate the R coefficient and multiply 2.5 x 1.5 and then again x 1.6 not sure this makes sense to me…seems to me its double-counting, but I am no epidemiologist, tho u seem to be becoming one!

    1. R of 2.5 means on average each infected person infects 2.5 other people. If the alpha variant is 50% more transmissible, then R is 2.5 x 1.5 = 3.75. In other words each infected person infects 3.75 other people.
      For delta which is 60% more transmisible than alpha, then R = 3.75 x 1.6 = 6.0.

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