‘Herd immunity against Covid possible even with 43% of population’

This research takes a new mathematical approach to estimate the herd immunity figure for a population by an infectious disease, such as the current COVID-19 pandemic.

By Author  |  Published: 24th Jun 2020  12:42 pmUpdated: 15th Jul 2020  9:58 am

London: Contrary to the decades-old theory that herd immunity against a pandemic is achieved when at least 60 percent population is infected, new research shows it can be done even with 43 percent when differences in age and social activity are considered.

Herd immunity happens when so many people in a community become immune to an infectious disease that stops the disease from spreading. This happens by people contracting the disease and building up natural immunity. When a large percentage of the population becomes immune to a disease, the spread of that disease slows down or stops and the chain of transmission is broken.

According to mathematicians from the University of Nottingham and the University of Stockholm, herd immunity to Covid-19 could be achieved with fewer people being infected than previously estimated.

“Our findings have potential consequences for the current Covid-19 pandemic and the release of lockdown and suggest that individual variation (in activity level) is an important feature to include in models that guide policy,” the authors wrote.

However, the figure of 43 percent should be interpreted as an illustration rather than an exact value or even the best estimate, said the study published in the journal Science.

“By taking this new mathematical approach to estimate the level for herd immunity to be achieved, we found it could potentially be reduced to 43 percent and that this reduction is mainly due to activity level rather than age structure,” explained Professor Frank Ball from the University of Nottingham.

The more socially active the individuals are the more likely they are to get infected than less socially active ones, and they are also more likely to infect people if they become infected.

“Consequently, the herd immunity level is lower when immunity is caused by disease spreading than when immunity comes from vaccination,” Ball explained.

To reach this conclusion, the teams devised a simple model categorising people into groups reflecting the age and social activity level.

When differences in age and social activity are incorporated in the model, the herd immunity level got reduced from 60 percent to 43 percent.

This research takes a new mathematical approach to estimate the herd immunity figure for a population by an infectious disease, such as the current COVID-19 pandemic.

For Covid-19, it is often stated that this is around 60 percent, a figure derived from the fraction of the population that must be vaccinated (in advance of an epidemic) to prevent a large outbreak.