Author: Mahendra K. Verma; Ali Asad; Soumyadeep Chatterjee
Title: COVID-19 epidemic: Power law spread and flattening of the curve Document date: 2020_4_6
ID: o0e6saez_7
Snippet: We digitized the data up to 7 April 2020 and studied the temporal evolution of the cumulative count of infected individuals, which is denoted by I(t), where t is time in days. In Fig. 1 we plot the time series of I(t) and its derivativeÄ°(t) in semi-logy format using red and blue curves respectively. The derivativesÄ°(t) have been computed using Python's gradient function. In these plots we represent time using dates with month/date format; the s.....
Document: We digitized the data up to 7 April 2020 and studied the temporal evolution of the cumulative count of infected individuals, which is denoted by I(t), where t is time in days. In Fig. 1 we plot the time series of I(t) and its derivativeÄ°(t) in semi-logy format using red and blue curves respectively. The derivativesÄ°(t) have been computed using Python's gradient function. In these plots we represent time using dates with month/date format; the starting date for each plot is chosen as t = 0.
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