During a survey conducted in the United Kingdom (UK) on May 1st, 2020, ** percent of respondents said that a government data strategy would have helped in the fight against COVID-19. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

11th January 2020 Change to vaccination data made available by UK gov - now just cumulative number of vaccines delivered are available for both first and second doses. For the devolved nations the cumulative totals are available for the dates from when given, however for the UK as a whole the total doses given is just on the last date of the index, regardless of when those vaccines were given.

4th January 2020 VACCINATION DATA ADDED - New and Cumulative First Dose Vaccination Data added to UK_National_Total_COVID_Dataset.csv and UK_Devolved_Nations_COVID_Dataset.csv

2nd December 2020:

NEW population, land area and population density data added in file NEW_Official_Population_Data_ONS_mid-2019.csv. This data is scraped from the Office for National Statistics and covers the UK, devolved UK nations, regions and local authorities (boroughs).

20th November 2020:

With European governments struggling with a 'second-wave' of rising cases, hospitalisations and deaths resulting from the SARS-CoV-2 virus (COVID-19), I wanted to make a comparative analysis between the data coming out of major European nations since the start of the pandemic.

I started by creating a Sweden COVID-19 dataset and now I'm looking at my own country, the United Kingdom.

The data comes from https://coronavirus.data.gov.uk/ and I used the Developer's Guide to scrape the data, so it was a fairly simple process. The notebook that scapes the data is public and can be found here. Further information about data collection methodologies and definitions can be found here.

The data includes the overall numbers for the UK as a whole, the numbers for each of the devolved UK nations (Eng, Sco, Wal & NI), English Regions and Upper Tier Local Authorities (UTLA) for all of the UK (what we call Boroughs). I have also included a small table with the populations of the 4 devolved UK nations, used to calculate the death rates per 100,000 population.

As I've said for before - I am not an Epidemiologist, Sociologist or even a Data Scientist. I am actually a Mechanical Engineer! The objective here is to improve my data science skills and maybe provide some useful data to the wider community.

Any questions, comments or suggestions are most welcome! I am open to requests and collaborations! Stay Safe!

In May 2020, a survey carried out in Great Britain found that, since the lockdown restrictions were imposed due to the coronavirus (COVID-19) pandemic, nearly 78 percent of the respondents said staying in touch with family and friends remotely had helped them cope during this period, while a further 68 percent said watching films or using streaming services had helped them.

The latest number of cases in the UK can be found here. For further information about the coronavirus pandemic, please visit our dedicated Facts and Figures page.

Although an international chain, its base and the majority of Pret a Manger (Pret) stores are in the UK and in London in particular. The continual development and communication strategies that the company has undertaken in this market have demonstrated both the long-term strategies that foodservice operators need to build on in order to comply with consumer demands and lifestyles but also the short-term engagement opportunities that are vital in maintaining and inspiring a loyal consumer base, especially during the developing coronavirus pandemic. Read More

The coronavirus pandemic has necessitated extraordinary human resilience in order to preserve and prolong life and social order. Risks to health and even life are being confronted by workers in health and social care, as well as those in roles previously never defined as “frontline,” such as individuals working in community supply chain sectors. The strategy adopted by the United Kingdom (UK) government in facing the challenges of the pandemic was markedly different from other countries. The present study set out to examine what variables were associated with resilience, burnout, and wellbeing in all sectors of frontline workers, and whether or not these differed between the UK and Republic of Ireland (RoI). Individuals were eligible if they were a frontline worker (in health and social care, community supply chain, or other emergency services) in the UK or RoI during the pandemic. Part of a larger, longitudinal study, the participants completed an online survey to assess various aspects of their daily and working lives, along with their attitudes toward their government’s handling of the crisis, and measurement of psychological variables associated with heroism (altruism, meaning in life, and resilient coping). A total of 1,305 participants (N = 869, 66.6% from the UK) provided sufficient data for analysis. UK-based workers reported lower wellbeing than the RoI-based participants. In multivariate models, both psychological and pandemic-related variables were associated with levels of resilience, burnout, and wellbeing in these workers, but which pandemic-related variables were associated with outcomes differed depending on the country. The judgment of lower timeliness in their government’s response to the pandemic appeared to be a key driver of each outcome for the UK-based frontline workers. These findings provide initial evidence that the different strategies adopted by each country may be associated with the overall wellbeing of frontline workers, with higher detriment observed in the UK. The judgment of the relatively slow response of the UK government to instigate their pandemic measures appears to be associated with lower resilience, higher burnout, and lower wellbeing in frontline workers in the UK.

Marketing organizations in the United Kingdom (UK) are making the most of different schemes and coping strategies to help deal with the impact of the coronavirus pandemic. According to a survey conducted in September 2020, ** percent of respondents said they had already taken advantage of the Coronavirus Job Retention Scheme. On top of that, ** percent of respondents had deferred VAT payments.

To facilitate effective targeted COVID-19 vaccination strategies, it is important to understand reasons for vaccine hesitancy where uptake is low. Artificial intelligence (AI) techniques offer an opportunity for real-time analysis of public attitudes, sentiments, and key discussion topics from sources of soft-intelligence, including social media data. In this work, we explore the value of soft-intelligence, leveraged using AI, as an evidence source to support public health research. As a case study, we deployed a natural language processing (NLP) platform to rapidly identify and analyse key barriers to vaccine uptake from a collection of geo-located tweets from London, UK. We developed a search strategy to capture COVID-19 vaccine related tweets, identifying 91,473 tweets between 30 November 2020 and 15 August 2021. The platform's algorithm clustered tweets according to their topic and sentiment, from which we extracted 913 tweets from the top 12 negative sentiment topic clusters. These tweets were extracted for further qualitative analysis. We identified safety concerns; mistrust of government and pharmaceutical companies; and accessibility issues as key barriers limiting vaccine uptake. Our analysis also revealed widespread sharing of vaccine misinformation amongst Twitter users. This study further demonstrates that there is promising utility for using off-the-shelf NLP tools to leverage insights from social media data to support public health research. Future work to examine where this type of work might be integrated as part of a mixed-methods research approach to support local and national decision making is suggested.

For each condition we give the estimated prevalence in the population as well as the increased risk of death found as a hazard ratio calculation adjusted for demographics and coexisting conditions.

Simple strategy for consented studies at the Nightingale hospital, London.

Detailed profile of Nike's sport sponsorship strategy, including a look at the impact COVID-19 may have on that strategy Read More

Research strategy recommendations.

The game matrix between the government and the public in major public health emergencies.

Background: The incidence of mental illness has risen since the coronavirus disease 2019 (COVID-19) pandemic. The number of healthcare workers (HCWs) needing mental health support has increased significantly. Objective: This secondary analysis of qualitative data explored the coping strategies of migrant HCWs living in the UK during the COVID-19 pandemic. Our aim was to identify the coping strategies used by migrant HCWs, and how they could be explored post-pandemic as support mechanisms of an increasingly diverse workforce. Method: As part of the United Kingdom Research study into Ethnicity And COVID-19 outcomes among Healthcare workers (UK-REACH), we conducted in-depth semi-structured interviews and focus groups with clinical and non-clinical HCWs across the UK, on Microsoft Teams, from December 2020 to July 2021. We conducted a thematic analysis using Braun and Clarke’s framework to explore the lived experiences of HCWs born overseas and living in the UK during the COVID-19 pandemic. The key themes that emerged were described using Lazarus and Folkman’s transactional model of stress and coping. Results: The emerging themes include stressors (situation triggering stress), appraisal (situation acknowledged as a source of stress), emotion-focused coping (family and social support and religious beliefs), problem-focused coping (engaging in self-care, seeking and receiving professional support), and coping strategy outcomes. The participants described the short-term benefit of the coping strategies as a shift in focus from COVID-19, which reduced their anxiety and stress levels. However, the long-term impact is unknown. Conclusion: We found that some migrant HCWs struggled with their mental health and used various coping strategies during the pandemic. With an increasingly diverse healthcare workforce, it will be beneficial to explore how coping strategies (family and social support networks, religion, self-care, and professional support) could be used in the future and how occupational policies and infrastructure can be adapted to support these communities. Migrant (non-UK-born) HCWs used various coping strategies to sustain their mental health during the COVID-19 pandemic.The study conceptualized the coping mechanisms that enabled participants to cope with the COVID-19 pandemic crisis, using Lazarus and Folkman's transactional model of stress and coping.Future research should explore whether short-term gains due to coping during the pandemic were maintained in the long term. Migrant (non-UK-born) HCWs used various coping strategies to sustain their mental health during the COVID-19 pandemic. The study conceptualized the coping mechanisms that enabled participants to cope with the COVID-19 pandemic crisis, using Lazarus and Folkman's transactional model of stress and coping. Future research should explore whether short-term gains due to coping during the pandemic were maintained in the long term.

Anxiety and depression are the most prevalent classes of mental illnesses; rates of anxiety and depression have been exacerbated due to the COVID-19 pandemic. Vulnerability to anxiety and depression are affected by risk and resilience factors, such as personality constructs. Recent research (e.g., Lyon et al, 2020; 2021) suggests that, out of all 30 NEO-PI-R personality constructs, variance in anxiety and depression are explained by a small number of personality constructs. However it is unclear which mechanisms mediate the relationship between these personality constructs and anxiety and depression. The purpose of this study was to investigate the mediating effect of emotion regulation strategies on the relationship between personality constructs and COVID-related anxiety and depression. Data were collected from a sample of 210 students at the University of Manchester. Measures included a select number of narrow Big Five personality facets which explain variance in anxiety and depression (facets depression, assertiveness, gregariousness, positive emotion and competence), select COPE Inventory strategies associated with coping with pandemics, and COVID-related anxiety and depression. Measures of COPE strategies and mental health were adapted to refer to coping and mental health in response to COVID pandemic.

• = epidemic would continue.

BackgroundThe COVID-19 pandemic has had substantial impacts on lives across the globe. Job losses have been widespread, and individuals have experienced significant restrictions on their usual activities, including extended isolation from family and friends. While studies suggest population mental health worsened from before the pandemic, not all individuals appear to have experienced poorer mental health. This raises the question of how people managed to cope during the pandemic.MethodsTo understand the coping strategies individuals employed during the COVID-19 pandemic, we used structural topic modelling, a text mining technique, to extract themes from free-text data on coping from over 11,000 UK adults, collected between 14 October and 26 November 2020.ResultsWe identified 16 topics. The most discussed coping strategy was ‘thinking positively’ and involved themes of gratefulness and positivity. Other strategies included engaging in activities and hobbies (such as doing DIY, exercising, walking and spending time in nature), keeping routines, and focusing on one day at a time. Some participants reported more avoidant coping strategies, such as drinking alcohol and binge eating. Coping strategies varied by respondent characteristics including age, personality traits and sociodemographic characteristics and some coping strategies, such as engaging in creative activities, were associated with more positive lockdown experiences.ConclusionA variety of coping strategies were employed by individuals during the COVID-19 pandemic. The coping strategy an individual adopted was related to their overall lockdown experiences. This may be useful for helping individuals prepare for future lockdowns or other events resulting in self-isolation.

Detailed profile of Movistar's sport sponsorship strategy, including a look at the impact COVID-19 may have on that strategy Read More

Data used in the simulations based on country.