THE IMPACT OF PERSONAL PRODUCTIVITY DUE TO THE ATTACKS OF CORONAVIRUS DISEASE 2019: USING PARTIAL LEAST STRUCTURAL EQUATION MODEL

  • SHEKH ABDULLAH-AL-MUSA AHMED Department of , Faculty of Creative Technology and Heritage, Universiti Malaysia Kelantan, Malaysia.
  • NIK ZULKARNAEN BIN KHIDZIR Department of , Faculty of Creative Technology and Heritage, Universiti Malaysia Kelantan, Malaysia.
  • SHIRIN AFROZ Chittagong Diabetic General Hospital, Chittagong, Bangladesh.

Abstract

Global coronavirus disease 2019 (COVID-19) is an infectious disease caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). The disease was first identified in December 2019 in Wuhan, the capital of China’s Hubei Province, and has since spread globally, resulting in the ongoing 2019–2020 coronavirus pandemic that has an impact which would be disturbed the personal productivity in the community. The dependent variable which is threat of COVID-19 (Thr_Cov-19), vulnerability of COVID-19 (Vul_Cov-19), and the unexpected change in society factors and one independent variable that is personal disturbance factors is used in this paper. Moreover, using as an indicator which will determine disturbance of personal productivity (D_PP) in the society. Since multiple regression by partial least square-structural equation modeling is used to examined of data by following unstructured method. Moreover, the resulting point out three dependent variables significantly influences on the independent variable of personal productivity in the society. As a matter of fact, this study concludes the foremost influence factor on D_PP in society due to COVID-19 risk factors such as Thr_Cov-19, Vul_Cov-19, and unexpected changed in the society factors. This study contributes to introductory study but vibrant understanding in stimulating the prediction of personal productivity in the society due to the COVID-19 attacks.

Keywords: Coronavirus disease, Threat of COVID-19, Vulnerability of COVID-19, Unexpected changed in the society, Personal productivity

References

1. Adrian M. Running the risk IT-more perception and less probabilities in uncertain systems. Inf Comput Secur 2017;25:45-59.
2. Andrea R, Giuseppe R. COVID-19 and Italy: What next? J Lancet 2020;395:10231.
3. Ericson CA. Hazard Analysis Techniques for System Safety. United States: John Wiley & Sons; 2016.
4. Ensheng D, Hongru D, Lauren G. An interactive web-based dashboard to track COVID-19 in real time. J Lancet Infect Dis 2020;38:347-9.
5. Hussin A, Siddappa N. The epidemiology and pathogenesis of coronavirus disease (COVID-19) outbreak. J Autoimmun 2020;109:24-35.
6. Nik Z, Shekh A. Towards fact-based digital forensic evidence collection methodology. Int J Inf Secur Res 2019;9:67-79.
7. Nik Z, Shekh A. Legal protection of intellectual property rights (IPR) in Bangladesh. Int J Law Gov Commun 2018;3:71-89.
8. Nik Z, Shekh A, Tan T. Viewpoint of probabilistic risk assessment in artificial enabled social engineering attacks. BITARA Int J Civiliz Stud Hum Sci 2018;1:32-9.
9. Puja M, Daniel F, Michael B, Emilie S. COVID-19: Consider cytokine storm syndromes and immunosuppression. J Lancet 2020;395:1133-6.
10. Roy A, Hans H, Don K. How will country-based mitigation measures influence the course of the COVID-19 epidemic? J Lancet 2020;395:931-4.
11. Shekh A, Nik Z. An exploratory factor analysis of AI enabled social engineering (SoE) attacking risk in higher learning institute. J Mass Commun J 2018;15:32-40.
12. Thirumalaisamy P, Christian G. The COVID-19 epidemic. J Trop Med Int Health 2020;25:278-80.
13. Wiebke A. Agents, Trojans and tags: The next generation of investigators. Int Rev Law Comput Technol 2009;23:99-108.
14. Yin RK. Case Study Research Design and Method Newbury Park. United States: SAGE Publications; 1984.
15. Ying L, Albert A, Wilder S, Joacim R. The reproductive number of COVID-19 is higher compared to SARS coronavirus. J Travel Med 2020;27:34-40.
16. Zheng YY, Ma YT, Zheng JY. COVID-19 and the cardiovascular system. Nat Rev Cardiol 2020;37:89-92.
17. Zhe X, Lei S, Yijin W, Jiyuan Z. Pathological findings of COVID-19 associated with acute respiratory distress syndrome. J Lancet Respir Med 2020;8:420-4.
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AHMED, S. A.-A.-M., BIN KHIDZIR, N. Z., & AFROZ, S. (2020). THE IMPACT OF PERSONAL PRODUCTIVITY DUE TO THE ATTACKS OF CORONAVIRUS DISEASE 2019: USING PARTIAL LEAST STRUCTURAL EQUATION MODEL. Innovare Journal of Health Sciences, 8(6), 1-4. https://doi.org/10.22159/ijhs.2020.v8i6.38327
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