Document Type : ORIGINAL RESEARCH PAPER

Authors

1 Department of Computer Science and Technology, Glocal University, Saharanpur, Uttar Pradesh, India

2 Department of Computer Science and Engineering, Uttarakhand Technical University, Dehradun, Uttarakhand, India

3 Department of Computer Science, Banda University of Agriculture and Technology, Banda, Uttar Pradesh, India

Abstract

Origin of the coronavirus was the seafood market of Wuhan city, Hubei province in China. The cases of someone suffering from COVID-19 can be traced back to the end of December 2019 in China. This is the most infectious disease and spread worldwide within three months after the first case reported. The World Health Organization renames Coronavirus as COVID-19. COVID-19 is the β-Coronavirus family virus, effect on the lung of human and common symptoms are cough, fever, fatigue, respiratory problem, and cold. The full name of the coronavirus is severe acute respiratory syndrome SARS-CoV. It spread on humans as well as animals and infected more than 183 countries with 2959927 confirm cases and 202733 deaths till 28 April 2020. 84 days data is used to predict confirmed and death cases for the next 10 days by using prophet and daily average based algorithm. Predicted confirmed cases are 2886183 and death cases 190540 till 25 April 2020. This study introduces the spreading pattern of COVID-19 in the top ten infected countries.  After China, European countries are the most infected ones. In this study, data was analyzed on the attributes confirmed, active, recovered and death cases, and next ten days outbreak prediction. Some countries state-wise data confirmed active and death cases also analyzed.

Graphical Abstract

Outbreak prediction of covid-19 in most susceptible countries

Highlights

  • Introduces the spreading pattern of COVID-19 in top ten infected countries such as United States of America, Italy, China, Spain, Germany, United Kingdom, Australia, Iran and India;
  • Data has analyzed on the parameters: confirmed, active, recover and death cases, show in the form of graph and map;
  • Calculate recovery and mortality rate per 1000 confirmed cases of the top ten COVID-19 infected countries. Algeria has the highest mortality rate and Canada at bottom;
  • Using the prophet time series machine learning algorithm, outbreak prediction of confirmed and death cases for the United States of America, China and Rest of the World from 16/04/2020 to 25/04/2020.

Keywords

Main Subjects

Letters to Editor

GJESM Journal welcomes letters to the editor for the post-publication discussions and corrections which allows debate post publication on its site, through the Letters to Editor. Letters pertaining to manuscript published in GJESM should be sent to the editorial office of GJESM within three months of either online publication or before printed publication, except for critiques of original research. Following points are to be considering before sending the letters (comments) to the editor.

[1] Letters that include statements of statistics, facts, research, or theories should include appropriate references, although more than three are discouraged.
[2] Letters that are personal attacks on an author rather than thoughtful criticism of the author’s ideas will not be considered for publication.
[3] Letters can be no more than 300 words in length.
[4] Letter writers should include a statement at the beginning of the letter stating that it is being submitted either for publication or not.
[5] Anonymous letters will not be considered.
[6] Letter writers must include their city and state of residence or work.
[7] Letters will be edited for clarity and length.

CAPTCHA Image