Interactive effects between travel behaviour and COVID-19: a questionnaire study
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PROVIDER: S-EPMC8083298 | biostudies-literature | 2021 Apr
REPOSITORIES: biostudies-literature
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Project description:COVID-19 continues to threaten the world. Relaxing local travel behaviours on preventing the spread of COVID-19, may increase the infection risk in subsequent waves of SARS-CoV-2 transmission. In this study, we analysed changes in the travel behaviour of different population groups (adult, child, student, elderly) during four pandemic waves in Hong Kong before January 2021, by 4-billion second-by-second smartcard records of subway. A significant continuous relaxation in human travel behaviour was observed during the four waves of SARS-CoV-2 transmission. Residents sharply reduced their local travel by 51.9%, 50.1%, 27.6%, and 20.5% from the first to fourth pandemic waves, respectively. The population flow in residential areas, workplaces, schools, shopping areas, amusement areas and border areas, decreased on average by 30.3%, 33.5%, 41.9%, 58.1%, 85.4% and 99.6%, respectively, during the pandemic weeks. We also found that many other cities around the world experienced a similar relaxation trend in local travel behaviour, by comparing traffic congestion data during the pandemic with data from the same period in 2019. The quantitative pandemic fatigue in local travel behaviour could help governments partially predicting personal protective behaviours, and thus to suggest more accurate interventions during subsequent waves, especially for highly infectious virus variants such as Omicron.
| S-EPMC9850857 | biostudies-literature
Project description:COVID-19 threatens the world. Social distancing is a significant factor in determining the spread of this disease, and social distancing is strongly affected by the local travel behaviour of people in large cities. In this study, we analysed the changes in the local travel behaviour of various population groups in Hong Kong, between 1 January and 31 March 2020, by using second-by-second smartcard data obtained from the Mass Transit Railway Corporation (MTRC) system. Due to the pandemic, local travel volume decreased by 43%, 49% and 59% during weekdays, Saturdays and Sundays, respectively. The local travel volumes of adults, children, students and senior citizens decreased by 42%, 86%, 73% and 48%, respectively. The local travel behaviour changes for adults and seniors between non-pandemic and pandemic times were greater than those between weekdays and weekends. The opposite was true for children and students. During the pandemic, the daily commute flow decreased by 42%. Local trips to shopping areas, amusement areas and borders decreased by 42%, 81% and 99%, respectively. The effective reproduction number (R t ) of COVID-19 had the strongest association with daily population use of the MTR 7-8 days earlier.
| S-EPMC7877214 | biostudies-literature
Project description: Not available
| S-EPMC8631046 | biostudies-literature
Project description:Background and aimsPublic health measures adopted to contain the spread of COVID-19 included restrictions on activities and mobility as people were asked to stay at home and schools moved to online learning. This may have increased risk of non-communicable disease by limiting recreational and transport-related physical activity. Building on an existing study, we assessed changes in self-reported and device-measured physical activity and travel behaviour before, during and after the peak of local COVID-19 outbreak and restrictions (March-July 2020). We examined beliefs in effectiveness of strategies to increase active and public transport after restrictions were reduced.MethodsA longitudinal study of adult infrequent bus users (average ≤ 2 trips per week; n = 70; 67% women) in Hobart, Australia. One-week assessment periods at four separate timepoints (before, during, 0-3 months after, and 3-6 months after the peak restrictions period) involved wearing an accelerometer, daily transport diaries, online surveys and tracking bus smartcard boardings.ResultsPhysical activity (especially among older participants), bus use and private motor vehicle use declined significantly during or 0-3 months after the peak restrictions period and returned to pre-restrictions levels by 3-6 months after the peak restrictions period, except bus use which remained significantly lower. Retrospective surveys overstated declines in bus use and active transport and self-reports understated declines in physical activity. Social distancing and improving service efficiency and frequency were seen as effective strategies for increasing bus use after restrictions but belief in effectiveness of distancing decreased over time.ConclusionsWhen restrictions on mobility are increased, supportive health promotion measures are needed to prevent declines in physical activity, particularly for older adults. Public transport systems need capacity to implement temporary distancing measures to prevent communicable disease transmission. Providing convenient, flexible, and efficient options for public transport may help to replenish public transport use after restrictions are reduced.
| S-EPMC10196155 | biostudies-literature
Project description:Testing the uploader tool with COVID-19 data
| PRJEB38185 | ENA
Project description:The novel coronavirus responsible for COVID-19 was first identified in Hubei Province, China in December, 2019. Within a matter of months the virus had spread and become a global pandemic. In addition to international air travel, local travel (e.g. by passenger car) contributes to the geographic spread of COVID-19. We modify the common susceptible-exposed-infectious-removed (SEIR) virus spread model and investigate the extent to which short-term travel associated with driving influences the spread of the virus. We consider the case study of the US state of Minnesota, and calibrated the proposed model with travel and viral spread data. Using our modified SEIR model that considers local short-term travel, we are able to better explain the virus spread than using the long-term travel SEIR model. Short-term travel associated with driving is predicted to be a significant contributor to the historical and future spread of COVID-19. The calibrated model also predicts the proportion of infections that were detected. We find that if driving trips remain at current levels, a substantial increase in COVID-19 cases may be observed in Minnesota, while decreasing intrastate travel could help contain the virus spread.
| S-EPMC7822539 | biostudies-literature
Project description:Blood collected from adults pre vaccination and post vaccination to study the immune effects of COVID-19 vaccination and how they relate to antibody and T-cell responses.
2023-01-12 | GSE199750 | GEO
Project description:This study attempts to assess the relationship between risk perception, risk knowledge, and travel intentions of Chinese leisure travelers during the COVID-19 pandemic in the framework of social contagion and risk communication theories by analyzing a sample of 1,209 travelers through structural equation modeling (SEM) and path analysis. We used the process macro of Hayes to analyze the moderation effects of age, gender, and education between risk perception, media and interpersonal communication, and risk knowledge. It was found that travelers were more concerned about self-efficacy than severity. Risk perception of travelers predicts the information-seeking process of tourists. This process helps travelers to accumulate risk information that influences their travel intentions. Travelers give more importance to interpersonal (contagion) communication in making a traveling decision. Demographic factors influence traveling decision-making; women travelers were found to be more risk resilient than men. Young travelers seek information at low- and old travelers at high-risk levels. Marketing implications also provided.
| S-EPMC8322978 | biostudies-literature