*Five Years Citation in Google scholar (2016 - 2020) is. 1451*   *    IJPR IS INDEXED IN ELSEVIER EMBASE & EBSCO *       

logo

INTERNATIONAL JOURNAL OF PHARMACEUTICAL RESEARCH

A Step Towards Excellence
Published by : Advanced Scientific Research
ISSN
0975-2366
Current Issue
Article In Press
No Data found.
ADOBE READER

(Require Adobe Acrobat Reader to open, If you don't have Adobe Acrobat Reader)

Index Page 1
Click here to Download
IJPR 9[3] July - September 2017 Special Issue

July - September 9[3] 2017

Click to download
 

Article Detail

Label
Label
Some Aspects of Modeling in the Study of COVID-19 Data

Author: SYED KHALID MUSTAFA, VYACHESLAV LYASHENKO, N.AMEER AHAMAD, MOHAMMAD REHAN, AJMAL, M.AYAZ AHMAD
Abstract: Human society or civilization is constantly faced with various tests. One such test is the COVID-19 pandemic, which is associated with the spread of a special type of coronavirus. Therefore, humanity is forced to find adequate measures to protect against the COVID-19 pandemic. For this purpose it is needed to know the reliable statistics. Additionally, it is important to know the features of the spread of COVID-19, to be able to make effective forecasts. This can be possible only by using various models. Different models take into account with specific features for the future prediction of the spread of the pandemic. These basic aspects are discussed in this work, which helps people for making better decisions for future strategies.
Keyword: Modeling, Forecasting, Analysis, Data, COVID-19 pandemic.
DOI: https://doi.org/10.31838/ijpr/2021.13.01.586
Download: Request For Article
 




ONLINE SUBMISSION
USER LOGIN


Username
Password
Login | Register
News & Events
SCImago Journal & Country Rank

Terms and Conditions
Disclaimer
Refund Policy
Instrucations for Subscribers
Privacy Policy

Copyrights Form

0.12
2018CiteScore
 
8th percentile
Powered by  Scopus
Google Scholar

hit counters free