When should restrictive measures be taken to contain the COVID-19 pandemic explosion? An important role for interpreting the pandemic data in a fully rational manner, and thus proactively supporting the political decision makers, is played by signal processing tools. 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. We 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 detailed in 1 .
When should restrictive measures be taken to contain the COVID-19 pandemic explosion? An important role for interpreting the pandemic data in a fully rational manner, and thus proactively supporting the political decision makers, is played by signal processing tools. 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 .
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