COVID-19 Data Analysis and Innovative Approach in Prediction of Cases
The world went into a standstill when the news of a global pandemic (Coronavirus Disease-19) caused by the Severe Acute Respiratory Syndrome Coronavirus 2 Virus was announced by the World Health Organization. In this chapter, we present a detailed investi
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Abstract The world went into a standstill when the news of a global pandemic (Coronavirus Disease-19) caused by the Severe Acute Respiratory Syndrome Coronavirus 2 Virus was announced by the World Health Organization. In this chapter, we present a detailed investigation of the spread of COVID-19 in India, its neighboring countries, and other global hotspots. We also analyze the worst-hit states of India with respect to the rise in Confirmed cases and Death cases due to COVID-19 and investigate the growth factor of the same. We then build a Support Vector Machine for Regression analysis of confirmed cases in India and predict the future confirmed cases by analyzing the current growth curve. Our work finally extends to discuss the need for future research to find out the consequences of the COVID-19 crisis in areas of Economy, Agriculture, Health, Education, Secondary sector, and Service Sector. Keywords COVID-19 · Artificial intelligence · Deep learning · Support vector machine · Regression · Data analysis
1 Introduction Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) is the virus which causes Coronavirus Disease (COVID-19) in humans. The first human cases of COVID-19 were identified in Wuhan City, China in December 2019. Just like the SARS outbreak in 2003, it is thought that SARS-CoV-2 entered the species barrier and initially affected human bodies, but more likely through an intermediate host, A. Kushwaha · P. Vijay Chavan (B) · V. Kumar Singh Department of Information Technology, Ramrao Adik Institute of Technology, Nerul, Navi Mumbai, MH, India e-mail: [email protected] A. Kushwaha e-mail: [email protected] V. Kumar Singh e-mail: [email protected] © The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2020 A.-E. Hassanien et al. (eds.), Big Data Analytics and Artificial Intelligence Against COVID-19: Innovation Vision and Approach, Studies in Big Data 78, https://doi.org/10.1007/978-3-030-55258-9_6
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that is another animal species more likely to be handled by humans—this could be a domestic animal, a wild animal, or a domesticated wild animal and, as of yet, has not been identified [1]. The spread of COVID-19 has brought all global superpowers and developing nations to a standstill, as the infection has shown an exponential rate of spread. To make matters worse, we are still in the process of understanding the virus and finding vaccines to stop the spread. Until we do find a vaccine, social distancing and home quarantine is the only way to stop the spread. This has led to a complete nationwide lockdown in many countries including developing countries like India, which has had very adverse effects on the country’s economy, healthcare facility and administration. Thus, COVID-19 has presented itself as an unconventional situation for the world to deal with, and therefore, it becomes all the more important to do a comprehensive analysis of the data for COVID-19 cases. Before we begin our analysis and
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