Question

According to some estimates, about 18% of people tested positive for the coronavirus are asymptomatic. would you expect that the estimated proportion of asymptomatic people may be biased? If so, what would be the direction of the potential bias, and why? Briefly explain.

Answer 1

Yes we expect that the estimated portion is biased.

Reasons for biased results are::

1.Firstly there are different countries invloved.

Each country is having a different level of health infrastructure

Example consider India and south korea

there is vast difference between there population size and quality if health system.

In india consideration is not given on the symptoms due to lack of focus on the huge population

2.Second there is a issue of Viral load

Some persons have a very low viral load due to which symptoms dont come so readily

3.Immunity level of the population

There is difference between the young and the old

Old people show the symptoms more easily than the young

4.High mutation and varied virulency of the coronavirus

5.Lack of research on the Covid-19 as the time is not available to collect the data regarding it.