A multi-dimensional study to estimate the behaviour of the general public during COVID-19 pandemic

Suryaprakash Reddy Chappidi; Surya Teja K. V.; Karthik D.; Anil Kumar T.; Ramya K.; Madhavi G.

doi:10.18203/2320-6012.ijrms20232424

Authors

Suryaprakash Reddy Chappidi Department of Pharmaceutics, Annamacharya College of Pharmacy, New Boyanapalli, Rajampet, Annamaiah district, Andhra Pradesh, India
Surya Teja K. V. Department of Pharmacy Practice, Annamacharya College of Pharmacy, New Boyanapalli, Rajampet, Annamaiah district, Andhra Pradesh, India
Karthik D. Department of Pharmacy Practice, Annamacharya College of Pharmacy, New Boyanapalli, Rajampet, Annamaiah district, Andhra Pradesh, India
Anil Kumar T. Department of Pharmacy Practice, Annamacharya College of Pharmacy, New Boyanapalli, Rajampet, Annamaiah district, Andhra Pradesh, India
Ramya K. Department of Pharmacy Practice, Annamacharya College of Pharmacy, New Boyanapalli, Rajampet, Annamaiah district, Andhra Pradesh, India
Madhavi G. Department of Pharmacy Practice, Annamacharya College of Pharmacy, New Boyanapalli, Rajampet, Annamaiah district, Andhra Pradesh, India

DOI:

https://doi.org/10.18203/2320-6012.ijrms20232424

Keywords:

COVID-19 Pandemic, General Public awareness, Vaccination progress, Socioeconomic Status, Behavioral analysis of people, Psychological parameters

Abstract

Background: The COVID-19 pandemic has had a significant impact on societies all over the world, leading to significant shifts in individual behavior as well as societal norms. The goal of this study was to provide an in-depth look at the many different aspects of public behavior during the COVID-19 pandemic.

Methods: Demographic information, COVID-19 knowledge and awareness, prevention adherence, vaccination attitudes, and psychological well-being as a whole were all be gathered through the quantitative survey. The subjective meetings will give further bits of knowledge into the hidden inspirations, discernments, and difficulties faced by people in following general wellbeing rules.

Results: To find patterns and correlations among the various variables, statistical methods like regression analysis, factor analysis, and clustering algorithms were used in the data analysis. The subjective information was investigated specifically, separating key topics and accounts that shed light on the subtleties of the public’s way of behaving during the pandemic.

Conclusions: In the end, the goal of this multidimensional study was to help make decisions based on evidence and come up with plans to improve public health and lessen the impact of infectious disease outbreaks like COVID-19.

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