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Need a cost-effective sampling strategy to estimate Covid-19 cases

A simple random sampling provides each individual comprising the population the same probability of inclusion in the sample. Such a sampling technique has been adopted in some European countries

Covid-19 sample
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A medic works on a sample for COVID-19 Rapid Test at a camp during the nationwide lockdown imposed in a bid to contain the spread of coronavirus, in Bhubaneswar, Monday, April 20, 2020 | Photo: PTI

Atanu Biswas
It is essential yet never easy to estimate the prevalence rate of Covid-19 cases among the Indian population, mostly due to the country’s large and diverse population, and a high proportion of asymptomatic cases. Simple random sampling (SRS) or some of its variants —like stratified sampling — are suggested by many in this context.

A simple random sampling provides each individual comprising the population the same probability of inclusion in the sample. Such a sampling technique has been adopted in some European countries —  Sweden and Austria, for example — to estimate the prevalence rate of Covid-19. According to such

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