The COVID-19 dashboard includes data on city/town COVID-19 activity, confirmed and probable cases of COVID-19, confirmed and probable deaths related to COVID-19, and the demographic characteristics of cases and deaths.

In early-February, 2020, the first cases of the coronavirus (COVID-19) were reported in the United Kingdom (UK). The number of cases in the UK has since risen to 24,243,393, with 1,062 new cases reported on January 13, 2023. The highest daily figure since the beginning of the pandemic was on January 6, 2022 at 275,646 cases.

COVID deaths in the UK COVID-19 has so far been responsible for 202,157 deaths in the UK as of January 13, 2023, and the UK has one of the highest death toll from COVID-19 in Europe. As of January 13, the incidence of deaths in the UK is 298 per 100,000 population.

Regional breakdown The South East has the highest amount of cases in the country with 3,123,050 confirmed cases as of January 11. London and the North West have 2,912,859 and 2,580,090 cases respectively.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

Moderate and severe AEs by COVID-19 status: Percentage of cases reporting moderate or severe AEs following BNT162b2/Pfizer third/booster dose (95% CI) in those with and without a history of COVID-19 (the former including OSC).

This study consists of transcripts of interviews conducted as part of the research project Identity, Inequality and the Media in Brexit-Covid-19-Britain. These transcripts report verbatim on in-depth interviews conducted with interviewees who live in the South West, East Midlands and North East of England. The interviews were designed to explore the ways in which participants perceived and experienced the social and political impacts of COVID-19 and Brexit. They explore the impact of both the pandemic and Brexit on individuals’ daily lives, their sense of belonging (or not) to place and nation, as well as the ways in which individuals engage with the media. Some of the interviews include a discussion of images that the participants felt captured the processes of Brexit and the pandemic. Furthermore, some of the interviews conducted in the South West focussed specifically on the project artist’s representation of the research themes.

The study authors conducted 90 interviews for this research. Of these, 80 are included in the UKDS version due to confidentiality considerations.

The interviews were conducted between October 2020 and July 2021. During this time England was experiencing national lockdowns and varying degrees of social distancing restrictions due to the COVID-19 pandemic.

We examined the construct validity of a 28-item survey that was designed to measure inner wellbeing (i.e., individuals’ thoughts and feelings about what they can do and be; White et al., 2014) among individuals in (1) the Global South nation of India (n = 205), (2) the Global North nation of the United Kingdom (n = 392), and (3) the nation of Greece, which is not readily categorized as Global South or Global North (n = 354) during COVID lockdown. Using a series of multiple-group confirmatory factor analyses via LISREL 10.20 (Joreskog & Sorbom, 2019), we tested the hypothesis that a model specifying seven factors (i.e., economic confidence, agency/participation, social connections, close relationships, physical/mental health, competence/self-worth, and values/meaning as intercorrelated domains) would provide a significantly better fit to the correlational data than would a model specifying a one factor (i.e., unidimensional inner wellbeing).

The Camden and Islington Public Health Intelligence team has recently completed a needs assessment of Long Covid in North Central London, to explore the burden of Long Covid locally, its impact on residents, and analysis of the system response. The analysis highlights that expected prevalence of Long Covid is much higher than recorded diagnoses in primary care, suggesting that many people with Long Covid may not be receiving a formal diagnosis. The analysis also explores patterns in expected prevalence, diagnosis and referral rates by age, gender, deprivation and ethnicity, variation between primary care networks, and analysis of data from NCL’s Post-Covid specialist clinic. This analysis will help to identify opportunities to improve Long Covid awareness, pathways and care.

As of January 12, 2023, COVID-19 has been responsible for 202,157 deaths in the UK overall. The North West of England has been the most affected area in terms of deaths at 28,116, followed by the South East of England with 26,221 coronavirus deaths. Furthermore, there have been 22,264 mortalities in London as a result of COVID-19.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

The study aimed to assess the uptake of Covid-19 vaccine among patients attending rheumatology clinics in a large District General Hospital (DGH) in the East of England. We also wanted to explore perceived barriers in receiving Covid-19 vaccine and to assess the extent of vaccine hesitancy among the target population. This single centre cross-sectional observational pilot study was conducted using questionnaires distributed to patients attending rheumatology outpatients for a face to face appointment. Data were collected on baseline social and demographic characteristics as well as knowledge, attitude and behaviours regarding coronavirus vaccination. We collected 395 responses and then analysed them using descriptive statistical methods.

The following dashboards provide data on contagious respiratory viruses, including acute respiratory diseases, COVID-19, influenza (flu), and respiratory syncytial virus (RSV) in Massachusetts. The data presented here can help track trends in respiratory disease and vaccination activity across Massachusetts.

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Covid-19 Vaccination Market 2024-2028

The covid-19 vaccination market size is forecast to increase by USD -32.76 billion, at a CAGR of -37.4% between 2023 and 2028. The market is experiencing significant growth due to the expansion of vaccination programs worldwide. Governments and international organizations are investing heavily in vaccination initiatives to contain the spread of the virus. The rising research and development (R&D) investment in the development of Covid-19 vaccines is another major growth factor. However, the high cost of production of Covid-19 vaccines poses a significant challenge to market growth. Manufacturers are exploring various strategies to reduce production costs while maintaining vaccine efficacy and safety. The market is expected to witness strong growth in the coming years as more effective and affordable vaccines become available. poiuyfrtyh

What will the Covid-19 Vaccination Market Size be During the Forecast Period?

Download Report Sample to Unlock the Covid-19 Vaccination Market Size for the Forecast Period and Other Important Statistics

Market Dynamics

The COVID-19 pandemic has brought about an unprecedented global health crisis, leading to the development of numerous vaccines to mitigate its impact. This content focuses on various aspects of COVID-19 vaccines, including production, distribution, administration, efficacy, safety, and regulations. COVID-19 vaccine production has been a top priority for researchers and pharmaceutical companies worldwide. Several manufacturers have developed vaccines using various technologies such as mRNA, viral vector, and protein subunit, undergoing rigorous testing and clinical trials to ensure safety and efficacy. Once vaccines receive approval from regulatory bodies, they are distributed to healthcare facilities and vaccination centers, requiring careful planning and coordination. Governments and international organizations are working to ensure equitable distribution, prioritizing vulnerable populations and herd immunity. Vaccine administration involves healthcare professionals delivering vaccines through injections, with proper training and safety protocols to minimize adverse reactions. Efficacy refers to the vaccine's ability to prevent infection or reduce the severity of symptoms, with most vaccines showing high efficacy rates, ranging from 60% to 95%. Vaccine safety is monitored closely, and while common side effects include pain and swelling at the injection site, fever, and fatigue, serious side effects are rare.

Vaccine procurement involves purchasing vaccines from manufacturers, with governments securing supplies through contracts and partnerships. Vaccine allocation ensures that vaccines are distributed to specific populations, with priority given to vulnerable groups like healthcare workers and the elderly. Vaccine prioritization determines which populations should receive vaccines first, based on risk factors. Vaccine passports are digital or physical documents that prove vaccination status, and may be required for travel or work, with regulations varying by jurisdiction. Vaccine mandates, which require vaccination for employment or participation in certain activities, remain a controversial issue. Vaccine regulations ensure vaccines are safe and effective, and policies governing vaccine use in schools, workplaces, and travel may change as supplies and public health conditions evolve.

Covid-19 Vaccination Market Driver

The expansion of vaccination programs is the key driver of the market. The market is experiencing significant growth due to the increasing demand for vaccines as governments and healthcare organizations prioritize widespread vaccination to control the virus and achieve herd immunity. This heightened demand leads to increased production and sales for vaccine manufacturers, resulting in long-term procurement contracts being signed to ensure a consistent vaccine supply. These contracts provide stability and revenue for manufacturers, with more contracts expected to be established as vaccination programs expand.

Vaccine distribution, administration, and logistics are crucial elements in the vaccine market, requiring efficient vaccine storage, transportation, and scheduling. Vaccine safety, efficacy, and monitoring are also vital considerations, along with addressing vaccine hesitancy and acceptance through education and outreach efforts. Vaccine regulations, policies, and campaigns are essential in ensuring vaccine coverage, immunity, and compliance with side effects and potential mandates or certificates.

Covid-19 Vaccination Market Trends

Rising research and development investment is the upcoming trend in the market. The Covid-19 pandemic has necessitated the rapid development, production, and distribution of vaccines to prevent and treat the disease caused by the SARS-CoV-2 virus. Governments and the private sector have collaborated to invest in vacc

These indicators are designed to accompany the SHMI publication. COVID-19 activity is included in the SHMI if the discharge date is on or after 1 September 2021. Contextual indicators on the number of provider spells which are related to COVID-19 and on the number of provider spells as a percentage of pre-pandemic activity (January 2019 – December 2019) are produced to support the interpretation of the SHMI. The number of spells as a percentage of pre-pandemic activity indicator is being published as an official statistic in development. Official statistics in development are published in order to involve users and stakeholders in their development and as a means to build in quality at an early stage. Notes: 1. On 1st January 2025, North Middlesex University Hospital NHS Trust (trust code RAP) was acquired by Royal Free London NHS Foundation Trust (trust code RAL). Due to processing issues, we are currently producing separate indicator values for these trusts in the SHMI data. Data for the merged organisation will be produced at a future date. 2. There is a shortfall in the number of records for North Middlesex University Hospital NHS Trust (trust code RAP), Northumbria Healthcare NHS Foundation Trust (trust code RTF), The Rotherham NHS Foundation Trust (trust code RFR), and The Shrewsbury and Telford Hospital NHS Trust (trust code RXW). Values for these trusts are based on incomplete data and should therefore be interpreted with caution. 3. There is a high percentage of invalid diagnosis codes for Chesterfield Royal Hospital NHS Foundation Trust (trust code RFS), East Lancashire Hospitals NHS Trust (trust code RXR), Harrogate and District NHS Foundation Trust (trust code RCD), Portsmouth Hospitals University NHS Trust (trust code RHU), Royal United Hospitals Bath NHS Foundation Trust (trust code RD1), University Hospitals of North Midlands NHS Trust (trust code RJE), and University Hospitals Plymouth NHS Trust (trust code RK9). Values for these trusts should therefore be interpreted with caution. 4. A number of trusts are now submitting Same Day Emergency Care (SDEC) data to the Emergency Care Data Set (ECDS) rather than the Admitted Patient Care (APC) dataset. The SHMI is calculated using APC data. Removal of SDEC activity from the APC data may impact a trust’s SHMI value and may increase it. More information about this is available in the Background Quality Report. 5. Further information on data quality can be found in the SHMI background quality report, which can be downloaded from the 'Resources' section of this page.

IntroductionEvidence for the effect of neighbourhood food environment (NFE) exposures on diet in the UK is mixed, potentially due to exposure misclassification. This study used the first national COVID-19 lockdown in England as an opportunity to isolate the independent effects of the NFE exposure on food and drink purchasing, and assessed whether these varied by region.MethodsTransaction-level purchasing data for food and drink items for at-home (1,221 households) and out-of-home consumption (171 individuals) were available from the GB Kantar Fast Moving Consumer Goods Panel for London and the North of England. The study period included 23rd March to 10th May 2020 (‘lockdown’), and the same period in 2019 for comparison. NFE exposures included food outlet density and proximity, and NFE composition within a 1 km network buffer around the home. Associations were estimated for both years separately, adjusted for individual and household characteristics, population density and area deprivation. Interaction terms between region and exposures were explored.ResultsThere were no consistent patterns of association between NFE exposures and food and drink purchasing in either time period. In 2019, there was some evidence for a 1.4% decrease in energy purchased from ultra-processed foods for each additional 500 m in the distance to the nearest OOH outlet (IR 0.986, 95% CI 0.977 to 0.995, p = 0.020). In 2020, there was some evidence for a 1.8% reduction in total take-home energy for each additional chain supermarket per km2 in the neighbourhood (IR 0.982, 95% CI 0.969, 0.995, p = 0.045). Region-specific effects were observed in 2019 only.DiscussionFindings suggest that the differences in exposure to the NFE may not explain differences in the patterns or healthiness of grocery purchasing. Observed pre-pandemic region-specific effects allude to the importance of geographical context when designing research and policy. Future research may assess associations for those who relied on their NFE during lockdown.

On March 4, 2020, the first death as a result of coronavirus (COVID-19) was recorded in the United Kingdom (UK). The number of deaths in the UK has increased significantly since then. As of January 13, 2023, the number of confirmed deaths due to coronavirus in the UK amounted to 202,157. On January 21, 2021, 1,370 deaths were recorded, which was the highest total in single day in the UK since the outbreak began.

Number of deaths among highest in Europe
The UK has had the highest number of deaths from coronavirus in western Europe. In terms of rate of coronavirus deaths, the UK has recorded 297.8 deaths per 100,000 population.

Cases in the UK The number of confirmed cases of coronavirus in the UK was 24,243,393 as of January 13, 2023. The South East has the highest number of first-episode confirmed cases of the virus in the UK with 3,123,050 cases, while London and the North West have 2,912,859 and 2,580,090 confirmed cases respectively. As of January 16, the UK has had 50 new cases per 100,000 in the last seven days.

For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

Context

The key results for the data collected on the number and percentage of VTE risk assessments on inpatients aged 16 and over admitted to NHS-funded acute care (NHS trusts, NHS foundation trusts and independent sector providers) in quarter 1 (Q1) 2019/20 are: England continues to achieve the 95% NHS Standard Contract threshold. Of the 3.8 million admitted inpatients aged 16 and over for whom data was reported in this collection, 3.7 million (96%) were risk assessed for VTE on admission. From Q4 2015/16 to Q4 2016/17 the percentage of inpatients risk assessed for VTE was stable at 96%. The results for Q1 2017/18 showed a reduction of 1% with 95% of patients being risk assessed for VTE and this remained static until Q4 2017/18. In Q1 2018/19 the percentage of patients being risk assessed for VTE increased to 96% but decreased again in Q2 2018/19 to 95%. In Q3 2018/19 performance increased to 96% and remained at 96% in Q4 2018/19. From April 2019 the data collection changed to include inpatients aged 16 and over at the time of admission. In Q1 2019/20 the percentage of inpatients risk assessed was 96%. In Q1 2019/20, the percentage of admitted inpatients aged 16 and over at the time of admission risk assessed for VTE was 96% for NHS acute care providers and 98% for independent sector providers. NHS acute care providers carried out about 97% of all VTE risk assessments. Six regions (North East and Yorkshire, North West, Midlands, East of England, London and South East) achieved the 95% NHS Standard Contract operational standard in Q1 2019/20. The South West did not meet the operational standard and risk assessed 94.7% of inpatients. In Q1 2019/20, 80% of providers (240 of the 299 providers) carried out a VTE risk assessment for 95% or more of their admissions (the NHS Standard Contract operational standard). This breaks down as 72% of NHS acute providers (106 of 147) and 88% of independent sector providers (134 of 152). Of the 59 providers (20%) that did not achieve the 95% operational standard in Q1 2019/20, 76% (45 of 59) risk assessed between 90% and 95% of total admissions for VTE. https://improvement.nhs.uk/resources/vte-risk-assessment-q1-201920/

Content

Venous thromboembolism (VTE) risk assessment: Q1 2019/20. The venous thromboembolism (VTE) risk assessment data collection is used to inform a national quality requirement in the NHS Standard Contract for 2019/20, which sets an operational standard of 95% of inpatients (aged 16 and over at the time of admission) undergoing risk assessments each month. https://improvement.nhs.uk/resources/vte-risk-assessment-q1-201920/ The official statistics for VTE risk assessment in England for quarter 1 (Q1) 2019/20 (April to June 2019) produced by NHS Improvement were released on 4 September 2019 according to the arrangements approved by the UK Statistics Authority.

Acknowledgements

https://improvement.nhs.uk/resources/vte-risk-assessment-q1-201920/

Photo by Edwin Ashitendoh on Unsplash

Inspiration

Patients that are not educated on the signs and symptoms of VTE at hospital discharge. Doctors MUST not forget to explain their patients about the medication, so that many deaths can be avoided.

The incidence of VTE in COVID-19 patients is not well established. Reports have ranged between 1.1% in non-ICU hospital wards to 69% in ICU patients screened with lower extremity ultrasound. Small sample sizes, differences in patient characteristics, co-morbidities, hospital and ICU admission criteria, criteria for diagnostic imaging, and COVID-19 therapies likely contribute to this wide range of estimates. Like other medical patients, those with more severe disease, especially if they have additional risk factors (e.g. older, male, obesity, cancer, history of VTE, comorbid diseases, ICU care), have a higher risk of VTE than those with mild or asymptomatic disease. VTE rate in outpatients has not been reported. https://www.hematology.org/covid-19/covid-19-and-vte-anticoagulation

Background: The Coronavirus disease (COVID-19) has emphasised the critical need to investigate the mental well-being of healthcare professionals working during the pandemic. It has been highlighted that healthcare professionals display a higher prevalence of mental distress and research has largely focused on frontline professions. Social restrictions were enforced during the pandemic that caused rapid changes to the working environment (both clinically and remotely). The present study aims to examine the mental health of a variety of healthcare professionals, comparing overall mental wellbeing in both frontline and non-frontline professionals and the effect of the working environment on mental health outcomes.

Method: A cross-sectional mixed methods design, conducted through an online questionnaire. Demographic information was optional but participants were required to complete: (a) Patient Health Questionnaire, (b) Generalised Anxiety Disorder, (c) Perceived Stress Scale, and (d) Copenhagen Burnout Inventory. The questionnaire included one open-ended question regarding challenges experienced working during the pandemic.

Procedure:
Upon ethical approval the online questionnaire was advertised for six weeks from 1st May 2021 to 12th June 2021 to maximise the total number of respondents able to partake. The survey was hosted on the survey platform “Online Surveys”. It was not possible to determine a response rate because identifying how many people had received the link was unattainable information. The advert for the study was placed on social media platforms (WhatsApp, Instagram, Facebook and Twitter) and shared through emails.

Participants were recruited through the researchers’ existing professional networks and they shared the advertisement and link to questionnaire with colleagues. The information page explained the purpose of the study, eligibility criteria, procedure, costs and benefits of partaking and data storage. Participants were made aware on the information page that completing and submitting the questionnaire indicated their informed consent. It was not possible to submit complete questionnaires unless blank responses were optional demographic data. Participants were informed that completed questionnaires could not be withdrawn due to anonymity.

The questionnaire consisted of four sections: demographic data, mental health information and the four psychometric tools, PHQ-9, GAD-7, PSS-10 and CBI. Due to the sensitive nature of this research, only the psychometric measures required an answer for each question, thus all demographic information was optional to encourage participant contentment. Once participants had completed the questionnaire and submitted, they were automatically taken to a debrief page. This revealed the hypothesis of the questionnaire and rationalised why it was necessary to conceal this prior to completion. Participants were signposted to mental health charities and a self-referral form for psychological support. Participants could contact the researcher via email to express an interest in the results. It was explained that findings would be analysed using descriptive statistics to investigate any correlations or patterns in the responses. Data collected was stored electronically, on a password protected laptop. It will be kept for three years and then destroyed.

Instruments: PHQ-9, GAD-7, PSS-10 and CBI.

Other questions included:

Thank you for considering taking part in the questionnaire! Please remember by completing and submitting the questionnaire you are giving your informed consent to participate in this study.

Demographic:

Gender: please select one of the following:

Male Female Non-binary Prefer not to answer

Age: what is your age?

Open question: Prefer not to answer

What is your current region in the UK?

South West, East of England, South East, East Midlands, Yorkshire and the Humber, North West, West Midlands, North East, London, Scotland, Wales, Northern Ireland Prefer not to answer

Ethnicity: please select one of the following:

White English, Welsh, Scottish, Northern Irish or British Irish Gypsy or Irish Traveller Any other White background Mixed or Multiple ethnic groups White and Black Caribbean White and Black African White and Asian Any other Mixed or Multiple ethnic background Asian or Asian British Indian Pakistani Bangladeshi Chinese Any other Asian background Black, African, Caribbean or Black British African Caribbean Any other Black, African or Caribbean background Other ethnic group Arab Option for other please specify Prefer not to answer

Employment/environment:

What was your employment status in 2020 prior to COVID-19 pandemic?

Please select the option that best applies. Employed Self-employed Unpaid work (homemaker/carer) Out of work and looking for work Out of work but not currently looking for work Student Volunteer Retired Unable to work Prefer not to answer Option for other please specify

What is your current employment status?

Please tick the option that best applies. Employed Self-employed Unpaid work (homemaker/carer) Out of work and looking for work Out of work but not currently looking for work Student Volunteer Retired Unable to work Prefer not to answer Option for other please specify

What is your healthcare profession/helping profession?

Please state your job title. Open question

How often did you work from home before the COVID-19 pandemic?

Not at all, rarely, some, most, everyday Option for N/A

How often did you work from home during the first UK national lockdown for COVID-19?

Not at all, rarely, some, most, everyday Option for N/A

How often did you work from home during the second UK national lockdown during COVID-19?

Not at all, rarely, some, most, everyday Option for N/A

How often have you worked from home during the third UK national lockdown during COVID-19?

Not at all, rarely, some, most, everyday Option for N/A

How often are you currently working from home during the COVID-19 pandemic?

Not at all, rarely, some, most, everyday Option for N/A

Mental health:

How would you describe your mental health leading up to the COVID-19 pandemic?

Excellent, Very good, Good, Fair, Poor

How would you describe your mental health during the COVID-19 pandemic?

Excellent, Very good, Good, Fair, Poor

What have been the main challenges working as a healthcare professional/helping profession during COVID-19 pandemic? Open question

Data analysis: Firstly, any missing data was checked by the researcher and noted in the results section. The data was then analysed using a statistical software package called Statistical Package for the Social Sciences version 28 (SPSS-28). Descriptive statistics were collected to organise and summarise the data, and a correlation coefficient describes the strength and direction of the relationship between two variables. Inferential statistics were used to determine whether the effects were statistically significant. Responses to the open-ended question were coded and examined for key themes and patterns utilising the Braun and Clarke (2006) thematic analysis approach.

Ethical considerations: The study was approved by the Health Science, Engineering and Technology Ethical Committee with Delegated Authority at the University of Hertfordshire.

The potential benefits and risks of partaking in the research were contemplated and presented on the information page to promote informed consent. Precautions to prevent harm to participants included eligibility criteria, excluding those under eighteen years older or experiencing mental health distress. As the questionnaire was based around employment and the working environment, another exclusion involved experiencing a recent job change which caused upset.

An anonymous questionnaire and optional input of demographic data fostered the participants’ right to autonomy, privacy and respect. Specific employment and organisation or company information were not collected to protect confidentiality. Although participants were initially deceived regarding the hypotheses, they were provided with accurate information about the purpose of the study. Deceit was appropriate to collect unbiased information and participants were subsequently informed of the hypotheses on the debrief page.

This weekly data shows the cumulative number of positive Covid-19 cases in Angus school clusters - combined total of teachers, support staff, children and young people (not including contractors). The dataset is updated fortnightly on a Tuesday. Field names. Cumulative confirmed cases in Brechin. Cumulative confirmed cases in Carnoustie. Cumulative confirmed cases in Forfar. Cumulative confirmed cases in Kirriemuir. Cumulative confirmed cases in Monifieth. Cumulative confirmed cases in Montrose. Cumulative confirmed cases in North Arbroath. Cumulative confirmed cases in West Arbroath.

The Education Endowment Foundation (EEF) has been leading the management of the Tuition Partners (TP) pillar of the National Tutoring Programme (NTP) in 2020/2021, funded as part of the government coronavirus catch-up package. The TP programme allows schools to access subsidised tuition from a list of 33 tuition partners, quality approved by the EEF, to support pupils who have missed out the most as a result of school closures due to the COVID-19 pandemic. The focus is on supporting disadvantaged pupils, in particular those eligible for Pupil Premium, but with flexibility for schools to select those pupils who they feel were most in need of the support. The EEF commissioned the National Foundation for Educational Research (NFER) to run a reach and engagement nimble randomised controlled trial (RCT) with EM Tuition, an approved NTP Tuition Partner. The RCT explored the impact of two distinctive types of recruitment emails on school sign-up to the TP programme provided by EM Tuition: one email included a testimonial from a headteacher on the benefits of tutoring, the other included a summary of the research evidence of the benefits of tutoring. EM Tuition sent recruitment emails during February and March 2021 to 1,949 primary, secondary, and special schools in areas of England where they offer tutoring provision, including Hertfordshire, Essex, North London, the East of England, and Suffolk. Schools were randomly allocated to receive one of the two types of email messages. A team from NFER analysed the impact of the different recruitment emails on the proportion of schools signing a Memorandum of Understanding (MoU) or providing an Expression of Interest (EoI) for their pupils to receive tutoring from EM Tuition as part of the TP programme.

The Education Endowment Foundation (EEF) has been leading the management of the Tuition Partners (TP) pillar of the National Tutoring Programme (NTP) in 2020/2021, funded as part of the government coronavirus catch-up package. The TP programme allows schools to access subsidised tuition from a list of 33 tuition partners, quality approved by the EEF, to support pupils who have missed out the most as a result of school closures due to the COVID 19 pandemic. The focus is on supporting disadvantaged pupils, in particular those eligible for Pupil Premium, but with flexibility for schools to select those pupils who they feel were most in need of the support. The EEF commissioned the National Foundation for Educational Research (NFER) to run a reach and engagement nimble randomised controlled trial (RCT) with EM Tuition, an approved NTP Tuition Partner. The RCT explored the impact of two distinctive types of recruitment emails on school sign-up to the TP programme provided by EM Tuition: one email included a testimonial from a headteacher on the benefits of tutoring, the other included a summary of the research evidence of the benefits of tutoring. EM Tuition sent recruitment emails during February and March 2021 to 1,949 primary, secondary, and special schools in areas of England where they offer tutoring provision, including Hertfordshire, Essex, North London, the East of England, and Suffolk. Schools were randomly allocated to receive one of the two types of email messages. A team from NFER analysed the impact of the different recruitment emails on the proportion of schools signing a Memorandum of Understanding (MoU) or providing an Expression of Interest (EoI) for their pupils to receive tutoring from EM Tuition as part of the TP programme.

According to a survey conducted in the United Kingdom (UK) as of April 2022, 246 thousand people in the South East of England were estimated to be suffering long COVID symptoms, the highest number across the regions in the UK. In the North West of England a further 218 thousand people were estimated to have long COVID.

In 2018-19 the GLA first undertook a Survey of Londoners. At the time it provided vital evidence on Londoners that had never been collected before in such detail. In 2021-22, the GLA conducted another Survey of Londoners, following the same methodology as the Survey of Londoners 2018-19, an online and paper self-completion survey of adults aged 16 and over in London. The survey, which received responses from 8,630 Londoners, aimed to assess the impact of COVID-19 and associated restrictions on key social outcomes for Londoners, not available from other data sources. It is important to understand the context in which the Survey of Londoners 2021-22 took place. Survey fieldwork began in November 2021; so, up to that point, it had been four months since most legal limits on social contact had been removed. However, after fieldwork had started, some restrictions due to the emergence of the Omicron variant were introduced. This may or may not have had some effect on the data. Given these changing circumstances, caution should be applied when interpreting the results. The Survey of Londoners 2021-22 also took place just before the full effects of the cost-of-living crisis began to set in. It is highly likely that the situations of Londoners have changed while analysis was taking place. On this page there is a headline findings report, published on 30 September 2022, which provides descriptive results for the key headline measures and supporting demographic data collected by the survey. Accompanying this report are more detailed tables documenting the key results of the survey by a range of demographic and other characteristics, a short summary document presenting key findings from the survey, and a technical report for those interested in the survey’s methodology. Further to these, a series of pen portraits, providing snapshots of particular groups of Londoners, as captured at the time of the Survey of Londoners 2021-22, were first added on 31 October 2022. Also on this page, there is an initial findings report, that was published on 2 September 2022. This was published to provide timely evidence from the survey to support the case for further targeted support to help low-income Londoners with the cost-of-living crisis. We have launched an online explorer where users can interrogate the data collected from the two surveys, conducted in 2018-19 and 2021-22. This is the first iteration, so we welcome any feedback on it - GO TO THE EXPLORER The record-level Survey of Londoners dataset can be accessed via the UK Data Service, University of Essex. The dataset is available for not-for-profit educational and research purposes only. Finally, as the North East London (NEL) NHS funded a 'boost' in their sub-region to enable a more detailed analysis to be conducted within, they produced an analytical report in September 2022. This is also available for download from this page.