作者
HR Bhapkar, Parikshit N Mahalle, Nilanjan Dey, KC Santosh
发表日期
2020/12
期刊
Journal of Medical Systems
卷号
44
期号
12
页码范围
202
出版商
Springer US
简介
How difficult time it is due to COVID-19 pandemic can be determined by its mortality and/or recovery rates. Predictive modeling can help us forecast how big the impact will be, especially for human lives? Prediction is one of the wellknown studies that is entirely relying on machine learning based data analytics tools and techniques. In this study, we revisit mathematical models to measure severity levels of a COVID-19 pandemic.
A pandemic is an epidemic occurring on a scale that spreads rapidly across the world. The World Health Organization (WHO) considers epidemic diseases are Chikungunya, Cholera, Crimean–Congo hemorrhagic fever, Ebola Virus disease, Hendra virus infection, Influenza, Lassa fever, Plague, COVID-19, SARS, etc. In 2014, the United States Centre for Disease Control and Prevention (CDC) announced an equivalent framework to the WHO’s pandemic stages titled pandemic intervals …
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