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_8
Snippet: No single function appears to fit with I(t), hence we employ different functions to fit at different time intervals. As is well-known, in the early phase, the growth is exponential, but it transitions to power laws subsequently. Hence, we employ exponential function and polynomials for constructing best fit curves to different parts of I(t). The best functions are listed in Table 1 , as well as exhibited in all the plots. We have computed the bes.....
Document: No single function appears to fit with I(t), hence we employ different functions to fit at different time intervals. As is well-known, in the early phase, the growth is exponential, but it transitions to power laws subsequently. Hence, we employ exponential function and polynomials for constructing best fit curves to different parts of I(t). The best functions are listed in Table 1 , as well as exhibited in all the plots. We have computed the best fit curves using Python's polyfit function, and the errors as the relative errors between the original data and the fitted data.
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