The Wuhan Flu and India

India has barely seen a peep out of the coronavirus. Here is an article with some ideas - Quartz:

Why does India have so few Covid-19 cases and deaths?
India is four times more populous than the US, but has just 2% the number of cases and only 1.5% of the number of Covid-19 deaths. How has the country, whose per capita income is just tenth of the US, avoided being flattened by the pandemic?

There are four possible explanations:

1. 1. The epidemic may have struck later than in other countries. Since epidemics have exponential growth at the start, a small delay can have massive effects on the number of cases.
   2. India’s 21-day lockdown may have successfully suppressed the epidemic. Physical distancing is one of the best ways to slow the epidemic and, if anything, many have criticized the lockdown for being too draconian in that regard.
   3. India has not been able to test enough to count all cases and deaths. Without sufficient testing, many deaths may not be labeled with Covid-19 for official statistics, leading to an underestimation of the severity of the crisis.
   4. India may have protective characteristics against Covid-19. Researchers have proposed that the low share of elderly in the population, the high temperatures and humidity in India, widespread BCG vaccination for tuberculosis, or resistance to malaria have helped India escape the brunt of the pandemic.

First, we can rule out that India is in an early stage of the pandemic. The first infected travelers from Wuhan reached Kerala, southwest India, on January 29. While it is true that Kerala acted quickly and contained a potential outbreak, more carriers reached other states by early March.

I would go with #5 (not on the list). India has so many diseases and microbes floating around that the native population would be resistant to anything short of a direct inoculation of bubonic plague. All of the people I know that have visited have had health issues ranging from a minor tummy upset to emergency hospitalization.

I am betting that the majority of the population has been exposed to enough similar coronaviruses that they already have immunity.