gradient smoothing
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Author(s):  
Apurbalal Senapati ◽  
Soumen Maji ◽  
Arunendu Mondal

To control the spread of COVID-19, around the world, many countries imposed lockdowns. Numerous studies were reported on COVID-19 in different disciplines with various aspects. The doubling time is a mathematical technique to estimate the current rate of spread of the disease. Researchers used the doubling technique to address the COVID-19 pandemic situation. The larger doubling period represents a low spreading rate, whereas the smaller doubling period represents a high spreading rate. In other words, high infection implies the low doubling period and low infection implies the high doubling period. So, there is an inverse relationship between doubling time and the infection rate. But the real-life data does not follow such a rule properly in various domains. The data shows that after a certain time when the infection is high, the doubling period is also high, which misleads our general concept of doubling time. This chapter addressed this issue by investigating the real-time COVID-19 data. To overcome this limitation, a gradient smoothing technique has been proposed.


2020 ◽  
Vol 84 ◽  
pp. 104073
Author(s):  
Songhun Kwak ◽  
Kwanghun Kim ◽  
Kwangnam Choe ◽  
Kumchol Yun

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