Estimating the number of COVID-19 infections in Indian hot-spots using fatality data

This article conducts a study using the counts of fatalities and previously estimated parameters for the progress of the disease to give statistical estimates of the population infected with COVID-19. The article then suggests a method for estimating epidemiological parameters for COVID-19 in different locations. It also provides a model for the chance of fatality, a model for disease progression, and a model for growth of infections.

Authored by Sourendu Gupta and R. Shankar.
Published by Cornell University.


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