Design and Implement ICFR Analyzer Model & Data Analysis of COVID-19 in India

  • Varun Tiwari, Atul D. Newase, Vikas Rao Vadi
Keywords: Python, Covid-19, SARS, numpy, pandas, Matplotlib, Data Analysis, Corona Virus, Mutant Variant, ICFR Analyzer Model.

Abstract

Covid-19 is a worldwide pandemic. It is caused by severe acute respiratory syndrome coronavirus 2(SARS-CoV-2). It started in Wuhan, China. COVID-19 is a pandemic declared by WHO. The full form of COVID (CO stands for ‘Corona’ VI stands for Virus and D stands for ‘Disease’). Preferably the end of coronavirus till September 2020 but in April 2021, the virus took a new form again. This is called Double Mutant Variant Virus. The new form of corona problem in breathing and lack of oxygen in the body, vomiting, wheezing, body pain, head heaviness. It is changed new form but linked to the same family of viruses as SARS (Severe Acute Respiratory Syndrome).and some types of a common cold. Today there are large numbers of new COVID-19 cases available in India. What is COVID-19?  How this virus-infected person? It is transmitted through direct contact, air with breathing dews of an infected person (formed like coughing, body pain, vomiting, and head heaviness and sneezing), and touching surfaces impure with the virus. This virus may survive on a different surface for several hours. These viruses include fever, cough, and shortness of breath. If you have a problem like coughing or sneezing then you should use a medical mask. Wearing a mask is very important in this Corona era. It is helpful to prevent others. So the main point to research that how to collect live data and fetch it via python through cloud-based technology on google colab, how to perform data analysis operation and find the prediction or result of Covid-19 pandemic state wise. There are lots of packages that are used in python like Matplotlib, seaborn, urllib, JSON, pandas, NumPy package. In this research paper, we upload a live Covid-19 India CSV file data from https://api.covid19india.org/csv/latest/state_wise.csv. This paper discusses the Old situation and current situation in India while beginning the Covid-19 pandemic and the constant development. It has pointedly improved treatment, medication, RT Scan, data analysis, prediction for the Covid19 pandemic. This research paper discussed finding Covid-19 state-wise data in India and show it as a pictorial representation of these data. This research paper also helpful to find the confirmed, recover, and death cases of the state wise. In this paper, we are explaining Data Analysis, processing of data, loading and manipulating data. In this paper, we create an own model (ICFR Analyzer Model) for finding the Infection Fatality Ratio and Case Fatality Ratio on the current Dataset.

Published
2021-08-07
How to Cite
Vikas Rao Vadi , V. T. A. D. N. (2021). Design and Implement ICFR Analyzer Model & Data Analysis of COVID-19 in India. Design Engineering, 6955- 6965. Retrieved from http://thedesignengineering.com/index.php/DE/article/view/3212
Section
Articles