Human mobility variations in response to restriction policies during the COVID-19 pandemic: An analysis from the Virus Watch community cohort in England, UK

Cheng, Tao; Chen, Tongxin; Liu, Yunzhe; Aldridge, Robert W; Nguyen, Vincent; Hayward, Andrew; Michie, Susan

doi:10.3389/fpubh.2022.999521

Cited by 6 publications

(4 citation statements)

References 51 publications

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“…Among the centers involved in clinical autonomic education, those with longer teaching interruptions were also those with major pandemic-related reductions in the autonomic outpatient and inpatient metrics. This may indicate increased difficulties in controlling the pandemic spread at a local level, or alternatively reflect stricter lockdown policies in some European countries [ 7 , 17 , 37 ].…”

Section: Discussionmentioning

confidence: 99%

EFAS/EAN survey on the influence of the COVID-19 pandemic on European clinical autonomic education and research

Fanciulli,

Skorić,

Leys

et al. 2023

Clin Auton Res

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Purpose To understand the influence of the coronavirus disease 2019 (COVID-19) pandemic on clinical autonomic education and research in Europe. Methods We invited 84 European autonomic centers to complete an online survey, recorded the pre-pandemic-to-pandemic percentage of junior participants in the annual congresses of the European Federation of Autonomic Societies (EFAS) and European Academy of Neurology (EAN) and the pre-pandemic-to-pandemic number of PubMed publications on neurological disorders. Results Forty-six centers answered the survey (55%). Twenty-nine centers were involved in clinical autonomic education and experienced pandemic-related didactic interruptions for 9 (5; 9) months. Ninety percent (n = 26/29) of autonomic educational centers reported a negative impact of the COVID-19 pandemic on education quality, and 93% (n = 27/29) established e-learning models. Both the 2020 joint EAN–EFAS virtual congress and the 2021 (virtual) and 2022 (hybrid) EFAS and EAN congresses marked higher percentages of junior participants than in 2019. Forty-one respondents (89%) were autonomic researchers, and 29 of them reported pandemic-related trial interruptions for 5 (2; 9) months. Since the pandemic begin, almost half of the respondents had less time for scientific writing. Likewise, the number of PubMed publications on autonomic topics showed the smallest increase compared with other neurological fields in 2020–2021 and the highest drop in 2022. Autonomic research centers that amended their trial protocols for telemedicine (38%, n = 16/41) maintained higher clinical caseloads during the first pandemic year. Conclusions The COVID-19 pandemic had a substantial negative impact on European clinical autonomic education and research. At the same time, it promoted digitalization, favoring more equitable access to autonomic education and improved trial design.

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Section: Discussionmentioning

confidence: 99%

EFAS/EAN survey on the influence of the COVID-19 pandemic on European clinical autonomic education and research

Fanciulli,

Skorić,

Leys

et al. 2023

Clin Auton Res

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“…Related works have addressed human mobility/activity pattern shiftings in cities, regions and countries by analysing aggregated mobility data sets (e.g., Google and Apple mobility data) [26][27][28][29]. In addition, the human activity shifting patterns captured by geo-tagged big data has been widely utilised for the evaluation of restriction policy effectiveness in contaminating COVID spreading [30][31][32], the socioeconomic impacts of the population mobility affected by restriction policies [33][34][35][36], and the social inequality in human mobility during the COVID-19 pandemic [37][38][39][40][41]. Previous studies exploring and interpreting human mobility pattern changes have concerned large geospatial districts in space and time.…”

Section: Introductionmentioning

confidence: 99%

Sensing dynamic human activity zones using geo-tagged big data in Greater London, UK during the COVID-19 pandemic

et al. 2023

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Exploration of dynamic human activity gives significant insights into understanding the urban environment and can help to reinforce scientific urban management strategies. Lots of studies are arising regarding the significant human activity changes in global metropolises and regions affected by COVID-19 containment policies. However, the variations of human activity dynamics amid different phases divided by the non-pharmaceutical intervention policies (e.g., stay-at-home, lockdown) have not been investigated across urban areas in space and time and discussed with the urban characteristic determinants. In this study, we aim to explore the influence of different restriction phases on dynamic human activity through sensing human activity zones (HAZs) and their dominated urban characteristics. Herein, we proposed an explainable analysis framework to explore the HAZ variations consisting of three parts, i.e., footfall detection, HAZs delineation and the identification of relationships between urban characteristics and HAZs. In our study area of Greater London, United Kingdom, we first utilised the footfall detection method to extract human activity metrics (footfalls) counted by visits/stays at space and time from the anonymous mobile phone GPS trajectories. Then, we characterised HAZs based on the homogeneity of daily human footfalls at census output areas (OAs) during the predefined restriction phases in the UK. Lastly, we examined the feature importance of explanatory variables as the metric of the relationship between human activity and urban characteristics using machine learning classifiers. The results show that dynamic human activity exhibits statistically significant differences in terms of the HAZ distributions across restriction phases and is strongly associated with urban characteristics (e.g., specific land use types) during the COVID-19 pandemic. These findings can improve the understanding of the variation of human activity patterns during the pandemic and offer insights into city management resource allocation in urban areas concerning dynamic human activity.

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“…Since the onset of the COVID-19 pandemic in early 2020, the virus has spread globally, resulting in over 760 million confirmed cases and more than 6.8 million fatalities to date (1). Prior to the introduction of vaccines, the United Kingdom government employed non-pharmaceutical interventions (NPIs), such as national lockdowns and social distancing measures, in an attempt to mitigate viral transmission and prevent the National Health Service (NHS) from reaching capacity (2)(3)(4). A substantial body of literature attests to the efficacy of immunisations in preventing COVID-19 infections, indicating that vaccination is among the most reliable strategies for conferring long-term protection (5)(6)(7)(8).…”

Section: Introductionmentioning

confidence: 99%

Exploring public sentiment and vaccination uptake of COVID-19 vaccines in England: a spatiotemporal and sociodemographic analysis of Twitter data

Cheng,

Han,

Liu

2023

Front. Public Health

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ObjectivesVaccination is widely regarded as the paramount approach for safeguarding individuals against the repercussions of COVID-19. Nonetheless, concerns surrounding the efficacy and potential adverse effects of these vaccines have become prevalent among the public. To date, there has been a paucity of research investigating public perceptions and the adoption of COVID-19 vaccines. Therefore, the present study endeavours to address this lacuna by undertaking a spatiotemporal analysis of sentiments towards vaccination and its uptake in England at the local authority level, while concurrently examining the sociodemographic attributes at the national level.MethodsA sentiment analysis of Twitter data was undertaken to delineate the distribution of positive sentiments and their demographic correlates. Positive sentiments were categorized into clusters to streamline comparison across different age and gender demographics. The relationship between positive sentiment and vaccination uptake was evaluated using Spearman’s correlation coefficient. Additionally, a bivariate analysis was carried out to further probe public sentiment towards COVID-19 vaccines and their local adoption rates.ResultThe results indicated that the majority of positive tweets were posted by males, although females expressed higher levels of positive sentiment. The age group over 40 dominated the positive tweets and exhibited the highest sentiment polarity. Additionally, vaccination uptake was positively correlated with the number of positive tweets and the age group at the local authority level.ConclusionOverall, public opinions on COVID-19 vaccines are predominantly positive. The number of individuals receiving vaccinations at the local authority level is positively correlated with the prevalence of positive attitudes towards vaccines, particularly among the population aged over 40. These findings suggest that targeted efforts to increase vaccination uptake among younger populations, particularly males, are necessary to achieve widespread vaccination coverage.

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Human mobility variations in response to restriction policies during the COVID-19 pandemic: An analysis from the Virus Watch community cohort in England, UK

Cited by 6 publications

References 51 publications

EFAS/EAN survey on the influence of the COVID-19 pandemic on European clinical autonomic education and research

EFAS/EAN survey on the influence of the COVID-19 pandemic on European clinical autonomic education and research

Sensing dynamic human activity zones using geo-tagged big data in Greater London, UK during the COVID-19 pandemic

Exploring public sentiment and vaccination uptake of COVID-19 vaccines in England: a spatiotemporal and sociodemographic analysis of Twitter data

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