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A Multidimensional Model of Public Health Approaches Against COVID-19

Author

Listed:
  • Mehrab Nazir

    (School of Economics and Management, Jiangsu University of Science & Technology, Zhenjiang 212003, China)

  • Iftikhar Hussain

    (Dean, Faculty of Computing & Engineering, University of Kotli Azad Jammu & Kashmir, Kotli 11100, Pakistan)

  • Jian Tian

    (School of Economics and Management, Jiangsu University of Science & Technology, Zhenjiang 212003, China)

  • Sabahat Akram

    (Department of Econmomics, University of Kotli Azad Jammu & Kashmir, Kotli 11100, Pakistan)

  • Sidney Mangenda Tshiaba

    (School of Economics and Management, Jiangsu University of Science & Technology, Zhenjiang 212003, China)

  • Shahrukh Mushtaq

    (Department of Business Administration, University of Kotli Azad Jammu & Kashmir, Kotli 11100, Pakistan)

  • Muhammad Afzal Shad

    (Department of Commerce, University of Kotli Azad Jammu & Kashmir, Kotli 11100, Pakistan)

Abstract

COVID-19 is appearing as one of the most fetal disease of the world’s history and has caused a global health emergency. Therefore, this study was designed with the aim to address the issue of public response against COVID-19. The literature lacks studies on social aspects of COVID-19. Therefore, the current study is an attempt to investigate its social aspects and suggest a theoretical structural equation model to examine the associations between social media exposure, awareness, and information exchange and preventive behavior and to determine the indirect as well as direct impact of social media exposure on preventive behavior from the viewpoints of awareness and information exchange. The current empirical investigation was held in Pakistan, and the collected survey data from 500 respondents through social media tools were utilized to examine the associations between studied variables as stated in the anticipated study model. The findings of the study indicate that social media exposure has no significant and direct effect on preventive behavior. Social media exposure influences preventive behavior indirectly through awareness and information exchange. In addition, awareness and information exchange have significant and direct effects on preventive behavior. Findings are valuable for health administrators, governments, policymakers, and social scientists, specifically for individuals whose situations are like those in Pakistan. This research validates how social media exposure indirectly effects preventive behavior concerning COVID-19 and explains the paths of effect through awareness or information exchange. To the best of our knowledge, there is no work at present that covers this gap, for this reason the authors propose a new model. The conceptual model offers valuable information for policymakers and practitioners to enhance preventive behavior through the adoption of appropriate awareness strategies and information exchange and social media strategies.

Suggested Citation

  • Mehrab Nazir & Iftikhar Hussain & Jian Tian & Sabahat Akram & Sidney Mangenda Tshiaba & Shahrukh Mushtaq & Muhammad Afzal Shad, 2020. "A Multidimensional Model of Public Health Approaches Against COVID-19," IJERPH, MDPI, vol. 17(11), pages 1-11, May.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:11:p:3780-:d:363293
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    References listed on IDEAS

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    1. Kaplan, Andreas M. & Haenlein, Michael, 2010. "Users of the world, unite! The challenges and opportunities of Social Media," Business Horizons, Elsevier, vol. 53(1), pages 59-68, January.
    2. Cynthia Chew & Gunther Eysenbach, 2010. "Pandemics in the Age of Twitter: Content Analysis of Tweets during the 2009 H1N1 Outbreak," PLOS ONE, Public Library of Science, vol. 5(11), pages 1-13, November.
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    2. Selerio, Egberto & Caladcad, June Anne & Catamco, Mary Rose & Capinpin, Esehl May & Ocampo, Lanndon, 2022. "Emergency preparedness during the COVID-19 pandemic: Modelling the roles of social media with fuzzy DEMATEL and analytic network process," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    3. Carlos de las Heras-Pedrosa & Pablo Sánchez-Núñez & José Ignacio Peláez, 2020. "Sentiment Analysis and Emotion Understanding during the COVID-19 Pandemic in Spain and Its Impact on Digital Ecosystems," IJERPH, MDPI, vol. 17(15), pages 1-22, July.
    4. Vitaly Kaftan & Wadim Kandalov & Igor Molodtsov & Anna Sherstobitova & Wadim Strielkowski, 2023. "Socio-Economic Stability and Sustainable Development in the Post-COVID Era: Lessons for the Business and Economic Leaders," Sustainability, MDPI, vol. 15(4), pages 1-18, February.
    5. Minh H. Nguyen & Thu T. M. Pham & Kien T. Nguyen & Yen H. Nguyen & Tien V. Tran & Binh N. Do & Hung K. Dao & Huu C. Nguyen & Ngoc T. Do & Tung H. Ha & Dung T. Phan & Khue M. Pham & Linh V. Pham & Phuo, 2021. "Negative Impact of Fear of COVID-19 on Health-Related Quality of Life Was Modified by Health Literacy, eHealth Literacy, and Digital Healthy Diet Literacy: A Multi-Hospital Survey," IJERPH, MDPI, vol. 18(9), pages 1-15, May.
    6. Zeyu Liu & Huijun Geng & Hao Chen & Meng Zhu & Tingshao Zhu, 2020. "Exploring the Mechanisms of Influence on COVID-19 Preventive Behaviors in China’s Social Media Users," IJERPH, MDPI, vol. 17(23), pages 1-14, November.

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