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      Perception-based influence factors of intention to adopt COVID-19 epidemic prevention in China

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          Abstract

          Background

          The researches investigating the influence factors of epidemic prevention are not only scarce, but also provide a gap in the domain of perception-based influence factors of intention to adopt COVID-19 epidemic prevention.

          Objective

          This work has attempted to examine the perception-based influence factors of individuals’ intention to adopt COVID-19 epidemic prevention in a modified behavioral framework.

          Theoretical framework

          A behavioral framework composed of the theory of reasoned action and the theory of planned behavior is developed to incorporate some additional perception-based influence factors.

          Methods

          A partial least square-based path analysis has been employed to estimate the path coefficients of those factors in terms of drivers, barriers, and neutral factors based on questionnaire data of 302 respondents from six universities and two hospitals in China.

          Results

          Among the perception-based influence factors, governments’ guidelines on epidemic prevention is found to be the most important and influential factor, which was followed by risk perception. Finally, attitude towards epidemic prevention exhibited the least degree of impact on individuals’ intention to adopt epidemic prevention. Moral norms did not show any contribution to individuals’ intention to adopt epidemic prevention.

          Conclusion

          Concerning importance ranking, the governments’ guidelines on epidemic prevention, risk perception, and epidemic knowledge are revealed as the top three drivers of individuals’ intention to adopt epidemic prevention, while the perceived feasibility to adopt epidemic prevention is found to be a barrier. Moreover, moral norms is identified to have an insignificant influence on individuals’ intention to adopt epidemic prevention. Given the empirical results, dissemination of Governments’ guidelines on epidemic prevention, proper risk perception, and knowledge about epidemic would help prevent the COVID-19 pandemic outbreak within China and worldwide.

          Graphical abstract

          Highlights

          • Examined perception-based influence factors of individuals’ intention to adopt epidemic prevention.

          • Theory of planned behavior and theory of reasoned actions are modified to introduced new factors.

          • Governments’ guidelines on epidemic prevention, risk perception, and epidemic knowledge are the top three drivers.

          • Perceived feasibility is revealed a barrier to adopt COVID-19 epidemic prevention.

          • Moral norms showed an insignificant role in adoption of COVID-19 epidemic prevention.

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          Most cited references25

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          Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) and coronavirus disease-2019 (COVID-19): The epidemic and the challenges

          Highlights • Emergence of 2019 novel coronavirus (2019-nCoV) in China has caused a large global outbreak and major public health issue. • At 9 February 2020, data from the WHO has shown >37 000 confirmed cases in 28 countries (>99% of cases detected in China). • 2019-nCoV is spread by human-to-human transmission via droplets or direct contact. • Infection estimated to have an incubation period of 2–14 days and a basic reproduction number of 2.24–3.58. • Controlling infection to prevent spread of the 2019-nCoV is the primary intervention being used.
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            The Socio-Economic Implications of the Coronavirus and COVID-19 Pandemic: A Review

            The COVID-19 pandemic has resulted in over 1.4 million confirmed cases and over 83,000 deaths globally. It has also sparked fears of an impending economic crisis and recession. Social distancing, self-isolation and travel restrictions forced a decrease in the workforce across all economic sectors and caused many jobs to be lost. Schools have closed down, and the need of commodities and manufactured products has decreased. In contrast, the need for medical supplies has significantly increased. The food sector has also seen a great demand due to panic-buying and stockpiling of food products. In response to this global outbreak, we summarise the socio-economic effects of COVID-19 on individual aspects of the world economy.
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              Partial least squares structural equation modeling (PLS-SEM)

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                Author and article information

                Contributors
                Journal
                Environ Res
                Environ. Res
                Environmental Research
                Elsevier Inc.
                0013-9351
                1096-0953
                27 July 2020
                27 July 2020
                : 109995
                Affiliations
                [a ] School of Economics , Zhejiang University , Hangzhou 310058 , China
                [b ] The Aga Khan University , National Stadium Rd , Aga Khan University Hospital , Karachi , Karachi City 74000 , Sindh , Pakistan
                [c ] School of Economics and Management , North China Electric Power University , Beijing 102206 , China
                Author notes
                []Corresponding author. Tel.: +86 15558017715 (M. Ahmad) (M. Ahmad); munirahmad@ 123456zju.edu.cn
                [∗∗ ]Corresponding author. (G. Jabeen) guljabeen@ 123456ncepu.edu.cn
                Article
                S0013-9351(20)30892-6 109995
                10.1016/j.envres.2020.109995
                7384406
                33358877
                6d0b4d13-ede5-4ad7-a59a-77cd355e4222
                © 2020 Elsevier Inc. All rights reserved.

                Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.

                History
                : 29 March 2020
                : 21 July 2020
                : 23 July 2020
                Categories
                Article

                General environmental science
                modified behavioral framework,risk perception,epidemic knowledge,risk aversion,governments’ guidelines on epidemic prevention

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