How could we get a more accurate picture of prevalence of COVID-19 without universal testing?

Headshot of Professor Subramanian

Professor S (Subu) V Subramanian, PhD, has co-authored a letter published in Lancet Global Health in which he and co-author K.S. James suggest that a random-sample-based population surveillance framework like the Demographic Health Survey (DHS), or in India’s case, the National Family Health Survey (NFHS), could be cost-effectively leveraged to help establish the prevalence of the novel virus in the populations of developing countries.

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