Open AccessA Statistical Analysis On Covid-2019 To Distinguish Between Myths And Facts With Data Visualization
Author(s) -
Karthik Konar,
Nirali Kabli
Publication year - 2021
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/1022/1/012043
Subject(s) - misinformation , mythology , covid-19 , nightmare , government (linguistics) , pandemic , rumor , dystopia , coronavirus , psychology , computer security , data science , internet privacy , history , computer science , public relations , political science , medicine , artificial intelligence , outbreak , virology , psychiatry , philosophy , linguistics , disease , pathology , infectious disease (medical specialty) , classics
Covid-2019 pandemic which has become the world’s worst nightmare, with no cure in sight and a lot of misinformation available on the internet, one can have a very tough time in separating fact from fiction. From non-veg meats, garlic water and weird self test, one will find a lot of myths related to coronavirus infection. Therefore to separate myths from facts we conducted a survey to know what actually people think about the virus. The main objectives of our survey was:(1)To describe the level of knowledge of the participants regarding COVID-19.(2)To determine participants’ point of view related to the COVID-19 disaster.(3)Provide useful information to the government of India.(4)To distinguish between myths and facts related to COVID-19 Disaster.