Coronavirus Outbreak and the Mathematical Growth Map of COVID-19
Md. Kamrujjaman *
Department of Mathematics, University of Dhaka, Dhaka 1000, Bangladesh and Department of Mathematics and Statistics, University of Calgary, Calgary, AB, Canada.
Md. Shahriar Mahmud
Department of Mathematics, University of Dhaka, Dhaka 1000, Bangladesh.
Md. Shafiqul Islam
School of Mathematical and Computational Sciences, University of Prince Edward Island, Charlottetown, PE, Canada.
*Author to whom correspondence should be addressed.
Abstract
In the last two decades the world had faced three respiratory syndrome outbreaks incurred by Coronavirus. Though the wild animals are the primary carriers of the virus, the human population managed to survive sacrificing more than 1,600 lives from 2002 to 2012. But the current virus outbreak has already taken more than 2,462 lives since 22 February 2020. In the first few days, when the cases were being introduced under light, there were no treatment for the infection and the unleashed spread demands to be analyzed to see the pattern of the outbreak. This manuscript aims to look into the growth map of the COVID-19 outbreak under mathematical growth functions and tries to understand which growth pattern assembles the scenario for the cases.
Keywords: Population dynamics, growth rate, real life data