Knowledge and Awareness of COVID-19 in Uttar Pradesh: An Exploratory Data Analysis

  • Prayas Sharma Indian Institute of Management Sirmaur, Sirmaur, Himachal Pradesh, India
  • Nitesh Kumar Adichwal University of petroleum & Energy Studies, Dehradun, Uttarakhand, India
  • Ashish Kumar Singh Department of Management Studies, Raj Kumar Goel Institute of Technology, Ghaziabad, India
Keywords: Awareness, frequency distribution, data analysis, policy making, COVID-19

Abstract

Corona viruses, commonly called COVID-19, are a large family of viruses that can cause diseases ranging from the common cold to Severe Acute Respiratory Syndrome (SARS). Worldwide Covid-19 is affecting 210 countries and territories around the world and two international conveyances. As of 2 June 2020, there are 6,408,869 confirmed 2,935,368 recovered and 378,317 deaths cases has been reported in world of Coronavirus diseases, India is not untouched from this situation. Currently, it has reported infected 190,535 and 5,394 death cases due to COVID-19 in India. (https://covid19.who.int/region/searo/country/in). The COVID-19 pandemic was first confirmed in the Indian state of Uttar Pradesh on 4 March 2020, with the first positive case in Ghaziabad. As of 1 June 2020, the state has 8361 confirmed cases, resulting in 222 deaths and 5030 recoveries. The situation is getting worst day by day as COVID-19 outbreaks and patients are increasing by every minute and become the most important issue for the whole world and So accessing knowledge and awareness among the people is very important. The present study using the exploratory data analysis we tried to demonstrate the knowledge and awareness of individuals about the COVID-19 pandemic in Uttar Pradesh, the most populous state of India. The findings of the present study can be utilized by the researchers and policy makers to handle this worst situation.

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Author Biographies

Prayas Sharma, Indian Institute of Management Sirmaur, Sirmaur, Himachal Pradesh, India

Prayas Sharma is currently working as Assistant Professor in the area of Decision Sciences at Indian Institute of Management Sirmaur, Paonta Sahib, Himachal Pradesh. He has more than 9 years of academic experience, both in the domain of teaching and research. His research interest includes Survey Sampling, Estimation Procedures using Auxiliary Information and Measurement Errors, Predictive Modelling, Business Analytics and Operations Research. Dr. Sharma has published more than 40 research papers in reputed National & International journals along with one book and two chapters in book internationally published. He has more than 300 citations with H-Index & I index of 12. Dr. Sharma has a keen interest in reading, writing and publishing, he is serving 7 reputed journals as editor/associate editor and more than 30 journals as reviewer and reviewed more than 150 research papers from the prestigious journals.

Nitesh Kumar Adichwal, University of petroleum & Energy Studies, Dehradun, Uttarakhand, India

Nitesh Kumar Adichwal is currently working as Assistant Professor in the School of Business, UPES, Dehradun. He has published several papers in the indexed journals in the field of sampling, Management and Demography. He is serving as reviewers for several good journals.

Ashish Kumar Singh, Department of Management Studies, Raj Kumar Goel Institute of Technology, Ghaziabad, India

Ashish Kumar Singh currently working at Department of Management Studies, Raj Kumar Goel Institute of Technology, Ghaziabad. He has more than ten years of academic experience in management education and gives training at statistical tools with hands-one exercises. Apart from Ph.D. in Business Management he is having Executive Certificate in Business Analytics and Big Data from Indian Institute of Management (IIM)KASHIPUR & Certificate in “Data Science: R Basics” from Harvard University, Massachusetts Hall Cambridge, MA. He has contributed number of research papers and articles in various national and international journals indexed in Scopus (Elsevier) index, Web of Science (Clarivate Analytics), ABDC Category.

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Published
2022-08-03
Section
Articles