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10.1371/journal.pone.0245886 http://scihub22266oqcxt.onion/10.1371/journal.pone.0245886 33524042!7850470!33524042     free     free     free Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 233.6 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534 Deprecated: Implicit conversion from float 267.2 to int loses precision in C:\Inetpub\vhosts\kidney.de\httpdocs\pget.php on line 534       PLoS+One 2021 ; 16 (2): e0245886 Nephropedia Template TP {{tp|p=33524042|t=2021. Impact of COVID-19 pandemic on mobility in ten countries and associated perceived risk for all transport modes |pdf=|usr=}}{{33524042}} gab.com Text Impact of COVID-19 pandemic on mobility in ten countries and associated perceived risk for all transport modes JO: PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=33524042 #FOAvip The restrictive measures implemented in response to the COVID-19 pandemic have triggered sudden massive changes to travel behaviors of people all around the world. This study examines the individual mobility patterns for all transport modes (walk, bicycle, motorcycle, car driven alone, car driven in company, bus, subway, tram, train, airplane) before and during the restrictions adopted in ten countries on six continents: Australia, Brazil, China, Ghana, India, Iran, Italy, Norway, South Africa and the United States. This cross-country study also aims at understanding the predictors of protective behaviors related to the transport sector and COVID-19. Findings hinge upon an online survey conducted in May 2020 (N = 9,394). The empirical results quantify tremendous disruptions for both commuting and non-commuting travels, highlighting substantial reductions in the frequency of all types of trips and use of all modes. In terms of potential virus spread, airplanes and buses are perceived to be the riskiest transport modes, while avoidance of public transport is consistently found across the countries. According to the Protection Motivation Theory, the study sheds new light on the fact that two indicators, namely income inequality, expressed as Gini index, and the reported number of deaths due to COVID-19 per 100,000 inhabitants, aggravate respondents' perceptions. This research indicates that socio-economic inequality and morbidity are not only related to actual health risks, as well documented in the relevant literature, but also to the perceived risks. These findings document the global impact of the COVID-19 crisis as well as provide guidance for transportation practitioners in developing future strategies. Twit Text FOAVip Impact of COVID-19 pandemic on mobility in ten countries and associated perceived risk for all transport modes ????PLoS One http://www.kidney.de/pget.php?&tw=1&pmid=33524042 #FOAvip Twit Text # Free Paper on # # # # # LINK http://www.kidney.de/pget.php?&tw=1&pmid=33524042 #FOAvip English Wikipedia <ref>{{Cite pmid|33524042}}</ref> Impact of COVID-19 pandemic on mobility in ten countries and associated perceived risk for all transport modes #MMPMID33524042 Barbieri DM; Lou B; Passavanti M; Hui C; Hoff I; Lessa DA; Sikka G; Chang K; Gupta A; Fang K; Banerjee A; Maharaj B; Lam L; Ghasemi N; Naik B; Wang F; Foroutan Mirhosseini A; Naseri S; Liu Z; Qiao Y; Tucker A; Wijayaratna K; Peprah P; Adomako S; Yu L; Goswami S; Chen H; Shu B; Hessami A; Abbas M; Agarwal N; Rashidi TH PLoS One 2021[]; 16 (2): e0245886 PMID33524042show ga The restrictive measures implemented in response to the COVID-19 pandemic have triggered sudden massive changes to travel behaviors of people all around the world. This study examines the individual mobility patterns for all transport modes (walk, bicycle, motorcycle, car driven alone, car driven in company, bus, subway, tram, train, airplane) before and during the restrictions adopted in ten countries on six continents: Australia, Brazil, China, Ghana, India, Iran, Italy, Norway, South Africa and the United States. This cross-country study also aims at understanding the predictors of protective behaviors related to the transport sector and COVID-19. Findings hinge upon an online survey conducted in May 2020 (N = 9,394). The empirical results quantify tremendous disruptions for both commuting and non-commuting travels, highlighting substantial reductions in the frequency of all types of trips and use of all modes. In terms of potential virus spread, airplanes and buses are perceived to be the riskiest transport modes, while avoidance of public transport is consistently found across the countries. According to the Protection Motivation Theory, the study sheds new light on the fact that two indicators, namely income inequality, expressed as Gini index, and the reported number of deaths due to COVID-19 per 100,000 inhabitants, aggravate respondents' perceptions. This research indicates that socio-economic inequality and morbidity are not only related to actual health risks, as well documented in the relevant literature, but also to the perceived risks. These findings document the global impact of the COVID-19 crisis as well as provide guidance for transportation practitioners in developing future strategies. |*Pandemics[MESH] |*Transportation[MESH] |COVID-19/*epidemiology[MESH] |Humans[MESH] |Regression Analysis[MESH] |Risk Factors[MESH] |Surveys and Questionnaires[MESH]Impact of COVID-19 pandemic on mobility in ten countries and associate(epmc).pdf DeepDyve Pubget Overpricing