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10.1016/j.envres.2020.109995 http://scihub22266oqcxt.onion/10.1016/j.envres.2020.109995 32739626!7384406!32739626     free     free     free Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 211.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       Environ+Res 2020 ; 190 (ä): 109995 Nephropedia Template TP {{tp|p=32739626|t=2020. Perception-based influence factors of intention to adopt COVID-19 epidemic prevention in China |pdf=|usr=}}{{32739626}} gab.com Text Perception-based influence factors of intention to adopt COVID-19 epidemic prevention in China JO: Environ Res http://www.kidney.de/pget.php?&tw=1&pmid=32739626 #FOAvip 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. Twit Text FOAVip Perception-based influence factors of intention to adopt COVID-19 epidemic prevention in China ????Environ Res http://www.kidney.de/pget.php?&tw=1&pmid=32739626 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=32739626 #FOAvip English Wikipedia <ref>{{Cite pmid|32739626}}</ref> Perception-based influence factors of intention to adopt COVID-19 epidemic prevention in China #MMPMID32739626 Ahmad M; Iram K; Jabeen G Environ Res 2020[Nov]; 190 (ä): 109995 PMID32739626show ga 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. |*Coronavirus Infections/prevention & control[MESH] |*Health Knowledge, Attitudes, Practice[MESH] |*Intention[MESH] |*Pandemics/prevention & control[MESH] |*Pneumonia, Viral/prevention & control[MESH] |Betacoronavirus[MESH] |COVID-19[MESH] |China[MESH] |Female[MESH] |Humans[MESH] |Male[MESH] |Middle Aged[MESH] |Risk[MESH] |SARS-CoV-2[MESH]Perception-based influence factors of intention to adopt COVID-19 epid(epmc).pdf DeepDyve Pubget Overpricing