Ibrahim Zakariyya Musa1, Shamsuddeen Ahmad Sabo1, Abhishek Kumar Verma2 and Mayadhar Barik3*
1Research Scholar, Department of Mathematics, Mewar University, Chittorgarh, Rajasthan, India
2Assistant Professor Department of Biochemistry, Mewar University, Chittorgarh, Rajasthan, India
3Chief Researcher Basic and Clinical Sciences Under Science and Technology Division and Associate Professor in Department of Biochemistry at Mewar University, Chittorgarh, Rajasthan, India
*Corresponding Author: Mayadhar Barik, Chief Researcher Basic and Clinical Sciences Under Science and Technology Division and Associate Professor in Department of Biochemistry at Mewar University, Chittorgarh, Rajasthan, India.
Received: July 15, 2020; Published: August 27, 2020
The current global pandemic of SARS-CoV-2 is a great challenge to the man, the virus has affected over 7 million people globally as of 12th June 2020. Also Nowadays, Media has become an essential part of human life. This research entails finding out how these two are going that is how media is affecting the current pandemic and also to find the role media plays in controlling the situation or helping the public to overcome the current situations. Reliability analysis was used to measure how reliable the questions carried in the research are, descriptive statistics were used to find out which among the subgroups of media is inflicting fear in the mind of public and correlation analysis was used to find how the variables are related using the collected data obtained through research questionnaire. The results obtained shows that public media (Television, Radio and Newspaper) are doing their best in making people less afraid by broadcasting positive news, whereas, social media (Facebook, Twitter and Instagram) platforms are contributing in making people very afraid due to the habit of a share as you received.
Keywords: Media; Protocol; SARS-CoV-2; Reliability Analysis; Cronbach’s Alpha; Correlation Analysis; ANOVA
Citation: Mayadhar Barik., et al. “Impact of Media and Protocol on SARS-CoV-2: Statistical Analysis". Acta Scientific Pharmaceutical Sciences 4.9 (2020): 40-47.
Copyright: © 2020 Mayadhar Barik., et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.