| Autor: |
Sirikonda, Shwetha, Kumar, S. Naresh, Sravanthi, T., Srinivas, J., Manchikatla, Sai Teja, Kumaraswamy, E. |
| Předmět: |
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| Zdroj: |
AIP Conference Proceedings; 5/24/2022, Vol. 2418 Issue 1, p1-7, 7p |
| Abstrakt: |
Because of the worldwide ongoing situation triggered by the Coronavirus (COVID-19) pandemic, millions of people lost their lives and the economic disturbances, globally billions of people have been directly or indirectly affected. In order to prevent deaths, it is of utmost importance to determine anticipated infected cases and the spread rate of the virus for advance planning to eliminate fatalities in healthcare. Even though vaccination started over the globe, different people had a different perception regarding the vaccination, so preferable solution to fight against it is, by following precautions and by creating awareness about Coronavirus,. In rural areas and even in urban areas there is a lot of panic situations among people, to overcome panic situations, we proposed a model that uses the ARIMA model to forecast nCOVID-2019, and where we will show the death and recovery rate of nCOVID-2019 and also provided prevention and precaution tips to follow. We designed a user-friendly web interface that displays the recovery rate and death rate ratio and can help us to free ourselves from the panic situation. The aim of this paper is to evaluate time series relevant data for the top ten COVID-19 significantly impacted nations to forecast the spread of the epidemic. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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