328 citations · 1.2k across the 57 of their papers we have counts for
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Fast and Accurate Forecasting of COVID-19 Deaths Using the SIkJ Model
Ajitesh Srivastava, Tianjian Xu, Viktor K. Prasanna
Forecasting the effect of COVID-19 is essential to design policies that may prepare us to handle the pandemic. Many methods have already been proposed, particularly, to forecast re…
Data-driven Identification of Number of Unreported Cases for COVID-19: Bounds and Limitations
Ajitesh Srivastava, Viktor K. Prasanna
Accurate forecasts for COVID-19 are necessary for better preparedness and resource management. Specifically, deciding the response over months or several months requires accurate l…
Learning to Forecast and Forecasting to Learn from the COVID-19 Pandemic
Ajitesh Srivastava, Viktor K. Prasanna
Accurate forecasts of COVID-19 is central to resource management and building strategies to deal with the epidemic. We propose a heterogeneous infection rate model with human mobil…