Enabling Healthcare 4.0 for Pandemics

14Mathematical Insight of COVID-19 Infection—A Modeling Approach

Komal Arora¹, Pooja Khurana^2*, Deepak Kumar² and Bhanu Sharma²

¹Department of Biotechnology, Manav Rachna International Institute of Research and Studies, Faridabad, India

²Department of Applied Science, Manav Rachna International Institute of Research and Studies, Faridabad, India

Abstract

Application of mathematics has gotten progressively abundant in epidemic disease research. The complexity of disease is appropriate to quantitative methodologies as it gives difficulties and chances to new turns of events. Thusly, computational modeling demonstrating to epidemiology research by assisting with clarifying components and by giving quantitative expectations that can be approved. The ongoing extension of quantitative models tends to numerous inquiries with respect to Epidemic disease (COVID-19) inception, and treatment reactions and opposition. These models have allowed researchers to better understand the physical phenomena. Computational models can supplement exploratory and clinical investigations, yet additionally challenge flow standards, reclassify our comprehension of systems driving epidemiology and shape future research.

Keywords: COVID-19, epidemiology, mathematical modeling, pandemic disease, viral infection

14.1 Introduction

Viruses are parasitic organisms and are thought to be not as important as plants in human life. They lack the ability of reproducing by their own, but once they penetrate the susceptible ...