Before revision:  In this paper, we exploit quickest-detection theory applied to pandemic time-series to predict the explosion of COVID-19 infection on a large scale. The focus of the work is to develop a version of the celebrated Page's CUSUM test, specifically tailored to pandemic data. Its application to the publicly-available sequence of new positive individuals per day from different countries is briefly illustrated .
After revision:  In this paper, we exploit quickest-detection test, designed to work in certain composite hypothesis scenarios with time-varying data statistics. The decision statistic can be cast in a recursive form and is particularly suited for on-line analysis. By back-testing our approach on publicly-available sequence of new positive individuals per day from different countries is briefly illustrated .