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Published in:

Volume 7 Issue 9
September-2020
eISSN: 2349-5162

UGC and ISSN approved 7.95 impact factor UGC Approved Journal no 63975

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Published Paper ID:
JETIR2009224


Registration ID:
300923

Page Number

164-172

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Title

Trend Analysis of Infected Cases with Corona Virus in Nepal by Using Polynomial Regression Model

Abstract

Among the viral infections, the infection of the Novel Coronavirus (COVID-19) is the most recent one in the world Firstly; it was detected in Wuhan city of China in December, 2019 and became pandemic in the short span of time. Since the pandemic of COVID-19 is alarming the globe, the number of infected cases around the world is increasing day by day. Several mathematical models studies are conducted based on the infected, death and recovered cases It is still unknown whether this epidemic will be under control or not. In context to Nepal, the infected cases at present scenario are uncontrolled. By the first week of September, the number of positive cases recorded was 44236 with recovery case 25561. The death rate is increasing day by day and till now it is 300 In spite of Nepal government’s effort to minimize the pandemic, the cases of infected rates have been increasing linearly. In this present study, the main goal is to find out the trend of spread of COVID-19 in Nepal. For the analysis of the trend, the polynomial regression model is fitted in the curve obtained in the timeline to the number of infectious cases. Through the polynomial regression, the infectious rate and inflection points are studied. By the time of the study, the highest rate was measured on 30 August 2020. The following two remedies are recommended to minimize the spread of virus which are as follows: keeping the infected person in insolation and increase of the immune power of the individual by taking medicine.

Key Words

Pandemic, COVID-19, coronavirus, mathematical modeling, Polynomial regression model

Cite This Article

"Trend Analysis of Infected Cases with Corona Virus in Nepal by Using Polynomial Regression Model", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.7, Issue 9, page no.164-172, September-2020, Available :http://www.jetir.org/papers/JETIR2009224.pdf

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2349-5162 | Impact Factor 7.95 Calculate by Google Scholar

An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 7.95 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator

Cite This Article

"Trend Analysis of Infected Cases with Corona Virus in Nepal by Using Polynomial Regression Model", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.7, Issue 9, page no. pp164-172, September-2020, Available at : http://www.jetir.org/papers/JETIR2009224.pdf

Publication Details

Published Paper ID: JETIR2009224
Registration ID: 300923
Published In: Volume 7 | Issue 9 | Year September-2020
DOI (Digital Object Identifier):
Page No: 164-172
Country: KASKI, GANDAKI, NEPAL .
Area: Mathematics
ISSN Number: 2349-5162
Publisher: IJ Publication


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