scholarly journals Modelling Capacity on London Underground Carriages in Light of UK Government Mandated Social Distancing Rules in Response to the Covid-19 Pandemic

Author(s):  
Justin Marley

ConsultantThe UK has been affected by the COVID-19 pandemic and London in particular has experienced a large number of cases. The London Underground is a key part of the transport for London. The UK Government has implemented social distancing rules meaning that people should be 2 metres from each other. The current paper models the impact of the social distancing on the carrying capacity of 10 different underground and overground carriages. The model determines the optimal standing and seating capacity for the different carriages and identifies logistical approaches to the seating and standing arrangements.

Author(s):  
Geraldine Ann Akerman ◽  
Emily Jones ◽  
Harry Talbot ◽  
Gemma Grahame-Wright

Purpose This paper aims to describe the impact of the COVID-19 pandemic on a prison-based therapeutic community (TC). Design/methodology/approach The paper takes the form of a case study where the authors reflect on their current practice, using the findings of research on social isolation and the overarching TC principles to explore the effect of the pandemic on the TC at HMP Grendon. The authors consider how the residents and staff adjusted to the change as the parameters changed when the social distancing rules were imposed and how they adapted to the prolonged break to therapy. Sections in the paper were written by a resident and an operational member of staff. The authors conclude with their thoughts on how to manage the consequences the lockdown has brought and start to think about what returning to “normality” might mean. Findings The paper describes the adjustments made by the residents and staff as the UK Government imposed the lockdown. The authors, including a resident and an operational member of staff comment on the psychological and practical impact these adjustments had. The thought is given to the idea of “recovery”, returning to “normality” and how this study can be best managed once restrictions are lifted. Research limitations/implications At the time of writing, there are no confirmed cases of COVID-19 at HMP Grendon. The measures and commitment from all staff and residents in the prison to keep the prison environment safe may in part account for this. This paper explores the effects of lockdown on the emotional environment in a TC and highlights the consequences that social isolation can have on any individual. To the authors’ knowledge, there is currently no research undertaken on the impact of lockdown/social isolation on a TC. This research would be useful, as the authors postulate from reflections on current practice that the effects of the lockdown will be greater in a social therapy environment. Originality/value HMP Grendon started in 1962, as this time there have been no significant events that have meant the suspension of therapy for such a sustained period. It is, therefore, important that the impact of such is considered and reflected upon.


2020 ◽  
Vol 4 (1) ◽  
pp. e000701 ◽  
Author(s):  
Esther Crawley ◽  
Maria Loades ◽  
Gene Feder ◽  
Stuart Logan ◽  
Sabi Redwood ◽  
...  

2020 ◽  
Author(s):  
Jasmina Panovska-Griffiths ◽  
Cliff Kerr ◽  
Robyn Margaret Stuart ◽  
Dina Mistry ◽  
Daniel Klein ◽  
...  

Background In order to slow down the spread of SARS-CoV-2, the virus causing the COVID-19 pandemic, the UK government has imposed strict physical distancing (lockdown) measures including school 'dismissals' since 23 March 2020. As evidence is emerging that these measures may have slowed the spread of the pandemic, it is important to assess the impact of any changes in strategy, including scenarios for school reopening and broader relaxation of social distancing. This work uses an individual-based model to predict the impact of a suite of possible strategies to reopen schools in the UK, including that currently proposed by the UK government. Methods We use Covasim, a stochastic agent-based model for transmission of COVID-19, calibrated to the UK epidemic. The model describes individuals' contact networks stratified as household, school, work and community layers, and uses demographic and epidemiological data from the UK. We simulate a range of different school reopening strategies with a society-wide relaxation of lockdown measures and in the presence of different non-pharmaceutical interventions, to estimate the number of new infections, cumulative cases and deaths, as well as the effective reproduction number with different strategies. To account for uncertainties within the stochastic simulation, we also simulated different levels of infectiousness of children and young adults under 20 years old compared to older ages. Findings We found that with increased levels of testing of people (between 25% and 72% of symptomatic people tested at some point during an active COVID-19 infection depending on scenarios) and effective contact-tracing and isolation for infected individuals, an epidemic rebound may be prevented across all reopening scenarios, with the effective reproduction number (R) remaining below one and the cumulative number of new infections and deaths significantly lower than they would be if testing did not increase. If UK schools reopen in phases from June 2020, prevention of a second wave would require testing 51% of symptomatic infections, tracing of 40% of their contacts, and isolation of symptomatic and diagnosed cases. However, without such measures, reopening of schools together with gradual relaxing of the lockdown measures are likely to induce a secondary pandemic wave, as are other scenarios for reopening. When infectiousness of <20 year olds was varied from 100% to 50% of that of older ages, our findings remained unchanged. Interpretation To prevent a secondary COVID-19 wave, relaxation of social distancing including reopening schools in the UK must be implemented alongside an active large-scale population-wide testing of symptomatic individuals and effective tracing of their contacts, followed by isolation of symptomatic and diagnosed individuals. Such combined measures have a greater likelihood of controlling the transmission of SARS-CoV-2 and preventing a large number of COVID-19 deaths than reopening schools and society with the current level of implementation of testing and isolation of infected individuals.


2021 ◽  
Vol 9 (1) ◽  
Author(s):  
Nando Sigona ◽  
Jotaro Kato ◽  
Irina Kuznetsova

AbstractThe article examines the migration infrastructures and pathways through which migrants move into, through and out of irregular status in Japan and the UK and how these infrastructures uniquely shape their migrant experiences of irregularity at key stages of their migration projects.Our analysis brings together two bodies of migration scholarship, namely critical work on the social and legal production of illegality and the impact of legal violence on the lives of immigrants with precarious legal status, and on the role of migration infrastructures in shaping mobility pathways.Drawing upon in-depth qualitative interviews with irregular and precarious migrants in Japan and the UK collected over a ten-year period, this article develops a three-pronged analysis of the infrastructures of irregularity, focusing on infrastructures of entry, settlement and exit, casting a comparative light on the mechanisms that produce precarious and expendable migrant lives in relation to access to labour and labour conditions, access and quality of housing and law enforcement, and how migrants adapt, cope, resist or eventually are overpowered by them.


Author(s):  
Mr. Kiran Mudaraddi

The paper presents a deep learning-based methodology for detecting social distancing in order to assess the distance between people in order to mitigate the impact of the coronavirus pandemic. The input was a video frame from the camera, and the open-source object detection was pre-trained. The outcome demonstrates that the suggested method is capable of determining the social distancing measures between many participants in a video.


2021 ◽  
pp. 1-18
Author(s):  
Richard Philip Lee ◽  
Caroline Coulson ◽  
Kate Hackett

The on-going rise in demand experienced by voluntary and community organisations (VCOs) providing emergency food aid has been described as a sign of a social and public health crisis in the UK (Loopstra, 2018; Lambie-Mumford, 2019), compounded since 2020 by the impact of (and responses to) Covid 19 (Power et al., 2020). In this article we adopted a social practice approach to understanding the work of food bank volunteering. We identify how ‘helping others’, ‘deploying coping strategies’ and ‘creating atmospheres’ are key specific (and connected) forms of shared social practice. Further, these practices are sometimes suffused by faith-based practice. The analysis offers insights into how such spaces of care and encounter (Williams et al., 2016; Cloke et al., 2017) function, considers the implications for these distinctive organisational forms (the growth of which has been subject to justified critique) and suggests avenues for future research.


2021 ◽  
Author(s):  
Carl Bonander ◽  
Debora Stranges ◽  
Johanna Gustavsson ◽  
Matilda Almgren ◽  
Malin Inghammar ◽  
...  

Objectives: To study the impact of non-mandatory, age-specific social distancing recommendations for older adults (70+ years) in Sweden on isolation behaviors and disease outcomes during the first wave of the COVID-19 pandemic. Methods: Our study relies on self-reported isolation data from COVID Symptom Study Sweden (n = 96,053) and national register data on COVID-19 hospitalizations, deaths, and confirmed cases. We use a regression discontinuity design to account for confounding factors, exploiting the fact that exposure to the recommendation was a discontinuous function of age. Results: By comparing individuals just above to those just below the age limit for the policy, our analyses revealed a sharp drop in the weekly number of visits to crowded places at the 70-year-threshold (-13%). Severe COVID-19 cases (hospitalizations or deaths) also dropped abruptly by 16% at the 70-year-threshold. Our data suggest that the age-specific recommendations prevented approximately 1,800 to 2,700 severe COVID-19 cases, depending on model specification. Conclusion: The non-mandatory, age-specific recommendations helped control the COVID-19 pandemic in Sweden.


2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Harry E. R. Shepherd ◽  
Florence S. Atherden ◽  
Ho Man Theophilus Chan ◽  
Alexandra Loveridge ◽  
Andrew J. Tatem

Abstract Background Since early March 2020, the COVID-19 epidemic across the United Kingdom has led to a range of social distancing policies, which resulted in changes to mobility across different regions. An understanding of how these policies impacted travel patterns over time and at different spatial scales is important for designing effective strategies, future pandemic planning and in providing broader insights on the population geography of the country. Crowd level data on mobile phone usage can be used as a proxy for population mobility patterns and provide a way of quantifying in near-real time the impact of social distancing measures on changes in mobility. Methods Here we explore patterns of change in densities, domestic and international flows and co-location of Facebook users in the UK from March 2020 to March 2021. Results We find substantial heterogeneities across time and region, with large changes observed compared to pre-pademic patterns. The impacts of periods of lockdown on distances travelled and flow volumes are evident, with each showing variations, but some significant reductions in co-location rates. Clear differences in multiple metrics of mobility are seen in central London compared to the rest of the UK, with each of Scotland, Wales and Northern Ireland showing significant deviations from England at times. Moreover, the impacts of rapid changes in rules on international travel to and from the UK are seen in substantial fluctuations in traveller volumes by destination. Conclusions While questions remain about the representativeness of the Facebook data, previous studies have shown strong correspondence with census-based data and alternative mobility measures, suggesting that findings here are valuable for guiding strategies.


2021 ◽  
Author(s):  
Aimee Code ◽  
Umar Toseeb ◽  
Kathryn Asbury ◽  
Laura Fox

Due to the COVID-19 pandemic and resultant school closures, social distancing measures, and restrictions placed on routine activities, the start of the academic year in September 2020 was a unique time for those transitioning to a new school. This study aimed to explore the experiences of parents who supported autistic children making a school transition in 2020, and to examine what impact parents perceived the COVID-19 pandemic had on their child’s school transition. Emphasis was placed on identifying facilitating factors that had benefitted school transitions, and barriers, which had negatively impacted these experiences. Semi-structured interviews were carried out with 13 parents of autistic children in the UK. Reflexive thematic analysis was carried out to identify themes in interview data. Parents reported a variety of experiences, and factors that were perceived as facilitatory to some were observed to be barriers by others. For some parents, the COVID-19 pandemic negatively impacted aspects of school transitions. For example, school closure in March 2020, being unable to visit their child’s new school, and social distancing measures were discussed as being barriers to an easy transition. However, other parents identified these factors as being facilitatory for their child or reported that these circumstances created opportunities to approach the school transition in a unique, improved manner. This paper sheds light on the heterogeneity of experiences and perceptions of parents of autistic children, and highlights the need to examine the impact of COVID-19 on school transitions, including practices which may be advantageous to retain.


Author(s):  
Ivan Launders

The UK National Health Service (NHS) provides the opportunity to undertake local socio-technical system design to help staff maximize the opportunities of using mobile technology whilst minimizing the impact of change to existing patient systems. A real-world example from a local NHS socio-technical system is considered, that contains a collection of mobile clinicians and technology which provides home care to patients. The success of the Mobile NHS service has a high dependency upon the social aspects of the solution and draws upon a combination of people, resources, technology and economic events. This chapter considers multiagent system architectures, to model social complexity, and capture system knowledge, and then outlines a prototyping technique as a means of implementing and testing the design model. It concludes that the practice of implementing a prototype ontology provides a valuable step in clarifying meaning and understanding of concepts at the outset.


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