Open AccessCovid -19 forecasting using regression analysis
Author(s) -
Nagakrishna Lodangi,
Vijay Thawani,
Kunda Gharpure
Publication year - 2020
Publication title -
vims health science journal/vimshealth science journal
Language(s) - English
Resource type - Journals
eISSN - 2454-1982
pISSN - 2348-523X
DOI - 10.46858/vimshsj.7307
Subject(s) - covid-19 , pandemic , regression analysis , regression , china , virology , geography , demography , statistics , medicine , mathematics , outbreak , infectious disease (medical specialty) , disease , archaeology , sociology
Covid-19 is a viral infection started in china and became pandemic by spreading all over the world. The goal of the study is to forecast the number of confirmed, recoevered, active and deaths of covid19 cases in India by December 2020 through regression analysis. According to our study the confirmed cases may raise to 43,67,580, and the active cases may rise to 14,32,583 and deaths may rise to 86,530 by 31 December of 2020