Dataset Information

Impact of COVID-19 pandemic on mobility in ten countries and associated perceived risk for all transport modes.

ABSTRACT: 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.

SUBMITTER: Barbieri DM

PROVIDER: S-EPMC7850470 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature

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Impact of COVID-19 pandemic on mobility in ten countries and associated perceived risk for all transport modes.

Barbieri Diego Maria DM Lou Baowen B Passavanti Marco M Hui Cang C Hoff Inge I Lessa Daniela Antunes DA Sikka Gaurav G Chang Kevin K Gupta Akshay A Fang Kevin K Banerjee Arunabha A Maharaj Brij B Lam Louisa L Ghasemi Navid N Naik Bhaven B Wang Fusong F Foroutan Mirhosseini Ali A Naseri Sahra S Liu Zhuangzhuang Z Qiao Yaning Y Tucker Andrew A Wijayaratna Kasun K Peprah Prince P Adomako Solomon S Yu Lei L Goswami Shubham S Chen Hao H Shu Benan B Hessami Amir A Abbas Montasir M Agarwal Nithin N Rashidi Taha Hossein TH

PloS one 20210201 2

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 a ...[more]

PMID: 33524042

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Project description:IntroductionCardiorespiratory fitness (CRF), as one of the most potent prognostic factors in medicine, is followed longitudinally to guide clinical management. Coronavirus disease 2019 (COVID-19) pandemic-related changes in lifestyle stand to influence CRF.ObjectiveTo assess the influence of the pandemic on perceived CRF in athlete patients and evaluate how perceived CRF change was related to demographics, pre-pandemic measured CRF, and current physical activity (PA).DesignProspective cohort study, utilizing electronic survey.SettingTertiary care sports cardiology clinical practice.ParticipantsAdult athlete patients without COVID-19 with pre-pandemic measured CRF using cardiopulmonary exercise testing.InterventionsNot applicable.Main outcome measuresPerceived change in CRF since pandemic onset; association between perceived CRF change and demographics, PA, health status, and pre-pandemic measured CRF assessed via analysis of variance (ANOVA).ResultsAmong 62 participants (male: 71%, 50.1 ± 12.1 years old), 40% (25/62) reported no change and 32% (20/62) reported an increase in perceived CRF since pandemic onset. Among the 27% (17/62) who reported a decrease in perceived CRF, in most (12/17), this was characterized as only mild. Demographics and pre-pandemic measured CRF did not differ across groups of perceived CRF change. Participants with a moderate or greater decrease in perceived CRF regarded their overall health (via Euro Quality of Life Visual Analogue Scale) as worse than other groups (ANOVA, p = .001). Although total PA was similar across groups, those who had improvement in perceived CRF reported higher levels of moderate intensity PA (ANOVA, p = .008).ConclusionsThe majority of participants perceived that they had maintained or improved CRF over the pandemic. Findings from this study suggest that a reduction in perceived CRF from pre-pandemic values in athletic patients in clinical practice may not result from population-wide pandemic changes in lifestyle. Worse health status and lower levels of moderate intensity PA were associated with perceived reduction in CRF over the pandemic in athlete patients.

Project description:COVID-19 pandemic had expanded to the US since early 2020 and has caused nationwide economic loss and public health crisis. Until now, although the US has the most confirmed cases in the world and are still experiencing an increasing pandemic, several states insisted to re-open business activities and colleges while announced strict control measures. To provide a quantitative reference for official strategies, predicting the near future trend based on finer spatial resolution data and presumed scenarios are urgently needed. In this study, the first attempted COVID-19 case predicting model based on county-level demographic, environmental, and mobility data was constructed with multiple machine learning techniques and a hybrid framework. Different scenarios were also applied to selected metropolitan counties including New York City, Cook County in Illinois, Los Angeles County in California, and Miami-Dade County in Florida to assess the impact from lockdown, Phase I, and Phase III re-opening. Our results showed that, for selected counties, the mobility decreased substantially after the lockdown but kept increasing with an apparent weekly pattern, and the weekly pattern of mobility and infections implied high infections during the weekend. Meanwhile, our model was successfully built up, and the scenario assessment results indicated that, compared with Phase I re-opening, a 1-week and a 2-week lockdown could reduce 4%-29% and 15%-55% infections, respectively, in the future week, while 2-week Phase III re-opening could increase 16%-80% infections. We concluded that the mandatory orders in metropolitan counties such lockdown should last longer than one week, the effect could be observed. The impact of lockdown or re-opening was also county-dependent and varied with the local pandemic. In future works, we expect to involve a longer period of data, consider more county-dependent factors, and employ more sophisticated techniques to decrease the modeling uncertainty and apply it to counties nationally and other countries.

Dataset Information

Impact of COVID-19 pandemic on mobility in ten countries and associated perceived risk for all transport modes.

Publications

Impact of COVID-19 pandemic on mobility in ten countries and associated perceived risk for all transport modes.

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