ABSTRACT
The covid-19 outbreak has appeared to be a threat to mankind for all the countries, especially India. The first wave of this virus arrived in the country in 2020, and due to various control measures taken by the government, the situation was somewhat controllable. Unfortunately, the second wave has brought enormous trouble to the citizens, and even the measures couldn't possibly stop the mess. This study presents a comprehensive analysis of the second wave of corona virus spread in India, along with visualized information about vaccination undertaken by the citizens. The datasets over which the study has been performed are taken from 16 January 2021 to 2nd May 2021. © 2021 IEEE.
ABSTRACT
COVID19 pandemic originated in China in 2019 and has significantly affected the world with over 16 crore cases. The pandemic up to now has claimed the lives of around 258,000 people in India. All India's major cities have been heavily affected due to this pandemic, with many health and economic issues coming to the fore. NCT of Delhi is one of the most badly pandemic-hit regions in the country, with over 13,60,000 confirmed cases and around 21,000 deaths. As of 13th May 2021, India is experiencing a horrific second COVID19 wave, while Delhi is experiencing its fourth localized COVID19 wave. There is a significant crunch in Patients' hospital beds, intensive care unit (ICU) beds, COVID19 ventilators and oxygen cylinders. This study developed a deep learning model to predict COVID19 cases in NCT Delhi, India. The model considers the trends in recovery rate, active cases, cases with comorbidities and patient data to predict the likely number of ICU ventilators dedicated to COVID19 patients required shortly. The testing rates and the serosurvey results were also considered while making the predictions. This study aims to provide the concerned authorities with an estimate of daily Covid19 cases and ventilators required in the near future and hope to help combat the pandemic. © 2021 IEEE.