As of May 2, 2023, there were roughly 687 million global cases of COVID-19. Around 660 million people had recovered from the disease, while there had been almost 6.87 million deaths. The United States, India, and Brazil have been among the countries hardest hit by the pandemic.

The various types of human coronavirus The SARS-CoV-2 virus is the seventh known coronavirus to infect humans. Its emergence makes it the third in recent years to cause widespread infectious disease following the viruses responsible for SARS and MERS. A continual problem is that viruses naturally mutate as they attempt to survive. Notable new variants of SARS-CoV-2 were first identified in the UK, South Africa, and Brazil. Variants are of particular interest because they are associated with increased transmission.

Vaccination campaigns Common human coronaviruses typically cause mild symptoms such as a cough or a cold, but the novel coronavirus SARS-CoV-2 has led to more severe respiratory illnesses and deaths worldwide. Several COVID-19 vaccines have now been approved and are being used around the world.

Based on a comparison of coronavirus deaths in 210 countries relative to their population, Peru had the most losses to COVID-19 up until July 13, 2022. As of the same date, the virus had infected over 557.8 million people worldwide, and the number of deaths had totaled more than 6.3 million. Note, however, that COVID-19 test rates can vary per country. Additionally, big differences show up between countries when combining the number of deaths against confirmed COVID-19 cases. The source seemingly does not differentiate between "the Wuhan strain" (2019-nCOV) of COVID-19, "the Kent mutation" (B.1.1.7) that appeared in the UK in late 2020, the 2021 Delta variant (B.1.617.2) from India or the Omicron variant (B.1.1.529) from South Africa.

The difficulties of death figures

This table aims to provide a complete picture on the topic, but it very much relies on data that has become more difficult to compare. As the coronavirus pandemic developed across the world, countries already used different methods to count fatalities, and they sometimes changed them during the course of the pandemic. On April 16, for example, the Chinese city of Wuhan added a 50 percent increase in their death figures to account for community deaths. These deaths occurred outside of hospitals and went unaccounted for so far. The state of New York did something similar two days before, revising their figures with 3,700 new deaths as they started to include “assumed” coronavirus victims. The United Kingdom started counting deaths in care homes and private households on April 29, adjusting their number with about 5,000 new deaths (which were corrected lowered again by the same amount on August 18). This makes an already difficult comparison even more difficult. Belgium, for example, counts suspected coronavirus deaths in their figures, whereas other countries have not done that (yet). This means two things. First, it could have a big impact on both current as well as future figures. On April 16 already, UK health experts stated that if their numbers were corrected for community deaths like in Wuhan, the UK number would change from 205 to “above 300”. This is exactly what happened two weeks later. Second, it is difficult to pinpoint exactly which countries already have “revised” numbers (like Belgium, Wuhan or New York) and which ones do not. One work-around could be to look at (freely accessible) timelines that track the reported daily increase of deaths in certain countries. Several of these are available on our platform, such as for Belgium, Italy and Sweden. A sudden large increase might be an indicator that the domestic sources changed their methodology.

Where are these numbers coming from?

The numbers shown here were collected by Johns Hopkins University, a source that manually checks the data with domestic health authorities. For the majority of countries, this is from national authorities. In some cases, like China, the United States, Canada or Australia, city reports or other various state authorities were consulted. In this statistic, these separately reported numbers were put together. For more information or other freely accessible content, please visit our dedicated Facts and Figures page.

Abstract copyright UK Data Service and data collection copyright owner. The Healthy Ageing in Scotland (HAGIS): COVID-19 Impact and Recovery Study, 2021-2022 is a multidisciplinary large-scale study of older adults (aged 50 and over) living in Scotland. The study was established to explore the spectrum of COVID-19 concerns in older adults and its impact on their willingness to (re)engage across health, social, and economic domains as Scotland's economy and society emerged from the pandemic. The survey data were collected between October 2021 and January 2022 using electronic, postal self-completion interviews and telephone-assisted personal interviews. From a target sample of 15,674 older adults, drawn from two existing Scottish longitudinal studies and a predefined panel, 3,373 individuals (59 percent women and 41 percent men) completed the survey. The data provide a wealth of information on older adults' socio-demographics, COVID-19-induced fear, worries and concerns, health domains, social capital and participation, economic and consumption behaviours, return to workplace experiences and preferences.Further information is available HAGIS COVID-19 Impact and Recovery Study webpage. Main Topics: COVID-19; ageing; health engagement; work; social connections; technology.

COVID-19 rate of death, or the known deaths divided by confirmed cases, was over ten percent in Yemen, the only country that has 1,000 or more cases. This according to a calculation that combines coronavirus stats on both deaths and registered cases for 221 different countries. Note that death rates are not the same as the chance of dying from an infection or the number of deaths based on an at-risk population. By April 26, 2022, the virus had infected over 510.2 million people worldwide, and led to a loss of 6.2 million. The source seemingly does not differentiate between "the Wuhan strain" (2019-nCOV) of COVID-19, "the Kent mutation" (B.1.1.7) that appeared in the UK in late 2020, the 2021 Delta variant (B.1.617.2) from India or the Omicron variant (B.1.1.529) from South Africa.

Where are these numbers coming from?

The numbers shown here were collected by Johns Hopkins University, a source that manually checks the data with domestic health authorities. For the majority of countries, this is from national authorities. In some cases, like China, the United States, Canada or Australia, city reports or other various state authorities were consulted. In this statistic, these separately reported numbers were put together. Note that Statista aims to also provide domestic source material for a more complete picture, and not to just look at one particular source. Examples are these statistics on the confirmed coronavirus cases in Russia or the COVID-19 cases in Italy, both of which are from domestic sources. For more information or other freely accessible content, please visit our dedicated Facts and Figures page.

A word on the flaws of numbers like this

People are right to ask whether these numbers are at all representative or not for several reasons. First, countries worldwide decide differently on who gets tested for the virus, meaning that comparing case numbers or death rates could to some extent be misleading. Germany, for example, started testing relatively early once the country’s first case was confirmed in Bavaria in January 2020, whereas Italy tests for the coronavirus postmortem. Second, not all people go to see (or can see, due to testing capacity) a doctor when they have mild symptoms. Countries like Norway and the Netherlands, for example, recommend people with non-severe symptoms to just stay at home. This means not all cases are known all the time, which could significantly alter the death rate as it is presented here. Third and finally, numbers like this change very frequently depending on how the pandemic spreads or the national healthcare capacity. It is therefore recommended to look at other (freely accessible) content that dives more into specifics, such as the coronavirus testing capacity in India or the number of hospital beds in the UK. Only with additional pieces of information can you get the full picture, something that this statistic in its current state simply cannot provide.

The increase in the extent of working-from-home determined by the COVID-19 health crisis has led to a substantial shift of economic activity across geographical areas; which we refer to as a Zoomshock. When a person works from home rather than at the office, their work-related consumption of goods and services provided by the locally consumed service industries will take place where they live, not where they work. Much of the clientèle of restaurants, coffee bars, pubs, hair stylists, health clubs, taxi providers and the like located near workplaces is transferred to establishment located near where people live. These data are our calculations of the Zoomshock at the MSOA level. They reflect estimats of the change in the number of people working in UK neighbourhoods due to home-working.

The COVID-19 shutdown is not affecting all parts of the UK equally. Economic activity in local consumer service industries (LCSI), such as retail outlets, restaurants, hairdressers, or gardeners has all but stopped; other industries are less affected. These differences among industries and their varying importance across local economies means recovery will be sensitive to local economic conditions and will not be geographically uniform: some neighbourhoods face a higher recovery risk of not being able to return to pre-shutdown levels of economic activity. This recovery risk is the product of two variables. The first is the shock, the effect of the shutdown on local household incomes. The second is the multiplier, the effect on LCSI economic activity following a negative shock to household incomes. In neighbourhoods where many households rely on the LCSI sector as a primary source of income the multiplier may be particularly large, and these neighbourhoods are vulnerable to a vicious circle of reduced spending and reduced incomes. This project will produce data measuring the shock, the multiplier, and the COVID-19 shutdown recovery risk for UK neighbourhoods. These variables will be estimated using individual and firm level information from national surveys and administrative data. The dataset, and corresponding policy report, will be made public and proactively disseminated to guide local and national policy design. Recovery inequality is likely to be substantial: absent intervention, existing regional inequalities may be exacerbated. This research will provide a timely and necessary input into designing appropriate recovery policy.

This statistical release makes available the most recent Improving Access to Psychological Therapies (IAPT) monthly data, including activity, waiting times, and outcomes such as recovery. IAPT is run by the NHS in England and offers NICE-approved therapies for treating people with depression or anxiety. This release also includes experimental statistics from the IAPT Employment Adviser Pilot. Due to the coronavirus illness (COVID-19) disruption, it would seem that this is affecting the quality and coverage of some of our statistics, such as an increase in non-submissions for some datasets. We are also seeing some different patterns in submitted data. For IAPT, whilst the number of submitters remains unchanged, there is a significant change in the rates for recovery and improvement since pre-Covid-19 months. We hope this information is helpful and would be grateful if you could spare a couple of minutes to complete a short customer satisfaction survey. Please use the survey in the related links to provide us with any feedback or suggestions for improving the report. Note: Corrections have been made to the M110 (Count_CBTAppts) and M1020 (Count_ConsMediumChatRoomAppts) variables in the Monthly Activity Data file for April 2022 through to December 2022. In addition, Commissioning Region breakdowns have been added to the IAPT Monthly Activity Data File.

Directly age and sex standardised admission rate for emergency admissions for acute conditions that should not usually require hospital admission per 100,000 registered patients, 95% confidence intervals (CI). March 2022 - The coronavirus (COVID-19) pandemic began to have an impact on Hospital Episode Statistics (HES) data late in the 2019-20 financial year, which continued into the 2020-21 financial year. This means we are seeing different patterns in the submitted data, for example, fewer patients being admitted to hospital, and therefore statistics which contain data from this period should be interpreted with care. Further information is available in the annual HES publication: https://digital.nhs.uk/data-and-information/publications/statistical/hospital-admitted-patient-care-activity/2020-21/covid-19-impact As of the October 2020 release, the CCG OIS is now published on an annual basis, as a result provisional data periods will no longer be published. The annual update will be based on finalised data for the April to March reporting period each year. As of the March 2020 release, the data included in the December 2019 publication for the 2018/19, July 2018 to June 2019 (Provisional) and October 2018 to September 2019 (Provisional) data periods has been revised. This is due to a revision of a large proportion of records for East Sussex Healthcare NHS Trust (RXC) which had missing information for the condition the patient was in hospital for and other conditions the patients suffer from. The revised data for these reporting periods also differs from that originally published in December 2019 in that the HES database is routinely updated (overwritten) on a monthly basis for the year in progress. Data for the two provisional periods remain provisional, but is now more complete than it was when the December 2019 publication was released. This effect cannot be readily separated from the effect of the East Sussex Healthcare NHS Trust (RXC) resubmission which also took place after processing for the December 2019 publication. Legacy unique identifier: P01844

Update 2 March 2023: Following the merger of NHS Digital and NHS England on 1st February 2023 we are reviewing the future presentation of the NHS Outcomes Framework indicators. As part of this review, the annual publication which was due to be released in March 2023 has been delayed. Further announcements about this dataset will be made on this page in due course. Directly standardised mortality rate from cardiovascular disease for people aged under 75, per 100,000 population. To ensure that the NHS is held to account for doing all that it can to prevent deaths from cardiovascular disease in people under 75. Some different patterns have been observed in the 2020 mortality data which are likely to have been impacted by the coronavirus (COVID-19) pandemic. Statistics from this period should also be interpreted with care. Legacy unique identifier: P01730

As global communities responded to COVID-19, we heard from public health officials that the same type of aggregated, anonymized insights we use in products such as Google Maps would be helpful as they made critical decisions to combat COVID-19. These Community Mobility Reports aimed to provide insights into what changed in response to policies aimed at combating COVID-19. The reports charted movement trends over time by geography, across different categories of places such as retail and recreation, groceries and pharmacies, parks, transit stations, workplaces, and residential.

Analysis of ‘Anxiety and Depression Psychological Therapies ’ provided by Analyst-2 (analyst-2.ai), based on source dataset retrieved from https://www.kaggle.com/mpwolke/cusersmarildownloadsanxietycsv on 28 January 2022.

--- Dataset description provided by original source is as follows ---

Context

National Clinical Audit of Anxiety and Depression Psychological Therapies Spotlight Audit. Data collected between October 2018 and January 2019 and aggregated by mental health services delivering psychological therapies in secondary care.

https://data.gov.uk/dataset/3da96fcf-7abb-4118-93d0-928b77e3ab75/national-clinical-audit-of-anxiety-and-depression-psychological-therapies-spotlight-audit

Content

Freedom of Information (FOI) requests : Dr Alan Quirk Alan.Quirk@rcpsych.ac.uk https://www.rcpsych.ac.uk/improving-care/ccqi/national-clinical-audits/national-clinical-audit-of-anxiety-and-depression

Acknowledgements

https://data.gov.uk/dataset/3da96fcf-7abb-4118-93d0-928b77e3ab75/national-clinical-audit-of-anxiety-and-depression-psychological-therapies-spotlight-audit

Photo by Sarah Kilian on Unsplash (Covid-19 times)

Inspiration

The Implications of COVID-19 for Mental Health . The COVID-19 pandemic and resulting economic downturn have negatively affected many people’s mental health and created new barriers for people already suffering from mental illness and substance use disorders. Therefore this Pandemic affects not only the infected persons but all the World, with repercussions that can persists beyond 2020.

--- Original source retains full ownership of the source dataset ---

Update 2 March 2023: Following the merger of NHS Digital and NHS England on 1st February 2023 we are reviewing the future presentation of the NHS Outcomes Framework indicators. As part of this review, the annual publication which was due to be released in March 2023 has been delayed. Further announcements about this dataset will be made on this page in due course. The crude rate of the number of finished consultant episodes (FCEs) where a tooth extraction was performed on a child aged 10 years or under at the start of the episode of care, due to tooth decay, per 100,000 resident population. This indicator measures tooth extractions in young patients, it is believed that the majority of cases could be avoided with better dental care and dentist intervention. The coronavirus (COVID-19) pandemic began to have an impact on Hospital Episode Statistics (HES) data late in the 2019/20 financial year, which continued into the 2020/21 financial year. This means we are seeing different patterns in the submitted data, for example, fewer patients being admitted to hospital, and therefore statistics which contain data from this period should be interpreted with care. Legacy unique identifier: P01770

Update 2 March 2023: Following the merger of NHS Digital and NHS England on 1st February 2023 we are reviewing the future presentation of the NHS Outcomes Framework indicators. As part of this review, the annual publication which was due to be released in March 2023 has been delayed. Further announcements about this dataset will be made on this page in due course. The indicator measures the number of emergency admissions to hospital in England for acute conditions such as ear/nose/throat infections, kidney/urinary tract infections and angina, among others, that could potentially have been avoided if the patient had been better managed in primary care. This indicator aims to measure the reduction in emergency admissions for conditions that should usually be managed outside hospital. Where an individual has been admitted for one of these conditions, it may indicate that they have deteriorated more than should have been allowed by the adequate provision of healthcare in primary care or as a hospital outpatient. The coronavirus (COVID-19) pandemic began to have an impact on Hospital Episode Statistics (HES) data late in the 2019/20 financial year, which continued into the 2020/21 financial year. This means we are seeing different patterns in the submitted data, for example, fewer patients being admitted to hospital, and therefore statistics which contain data from this period should be interpreted with care. Legacy unique identifier: P01757

Abstract copyright UK Data Service and data collection copyright owner.

The European Working Conditions Survey (EWCS) is conducted by Eurofound (the European Foundation for the Improvement of Living and Working Conditions). Since its launch in 1990, the EWCS has provided an overview of working conditions in Europe. The main objectives of the survey are to:

• assess and quantify working conditions of both employees and the self-employed across Europe on a harmonised basis;
• analyse relationships between different aspects of working conditions;
• identify groups at risk and issues of concern as well as of progress;
• monitor trends by providing homogeneous indicators on these issues; and
• contribute to European policy development in particular on quality of work and employment issues.

Themes covered include employment status, working time duration and organisation, work organisation, learning and training, physical and psychosocial risk factors, health and safety, work-life balance, worker participation, earnings and financial security, as well as work and health.

The EWCS paints a wide-ranging picture of Europe at work across countries, occupations, sectors and age groups. Its findings highlight actions for policy actors to help them address the challenges facing Europe today. The EWCS is generally conducted once every five years, although an extra wave was conducted in 2001 to cover the new acceding and candidate EU countries. The survey is based on a questionnaire which is administered face-to-face to a random sample of 'persons in employment' (i.e. employees and the self-employed), representative of the working population in each EU country. An integrated dataset is also available (see SN 7363) which combines data from the first five waves of the survey in one file.

Before working with the EWCS data, users are recommended to read the latest supplementary supporting documentation on the Eurofound European Working Conditions Survey webpages. Further information about the series can be found there, including methodological information, technical reports and reports on translation, sampling implementation, sampling evaluation and weighting, coding, quality control, quality assurance and other publications.

EWCTS 2021

The regular face-to-face EWCS had to be prematurely terminated in 2020 due to the Covid pandemic so, in 2021, Eurofound carried out a once-off European Working Conditions Telephone Survey (EWCTS) using computer-assisted telephone interviewing (CATI).

The EWCTS 2021 included over 70,000 workers in 36 European countries: the EU Member States, Norway, Switzerland, the United Kingdom as well as Albania, Bosnia and Herzegovina, Kosovo, Montenegro, North Macedonia and Serbia. Changing the survey mode to CATI is in line with other similar surveys in the context of the COVID pandemic.

The EWCTS 2021 allows Eurofound to provide comparable and representative information on job quality at a time when working lives have undergone considerable changes and the capacity of people at work to contribute to the recovery is critical. Due to the change in interviewing mode, comparison with previous editions of the EWCS may not be possible so the options for analysis of trends over time are limited.

Documentation

Users should note that the only methodological documentation currently available with the study is a Readme file. Further documentation will be provided by the depositor in due course. Users should also note that the UKDS data filenames may differ slightly from those currently quoted in the Readme file, but there is no difference in the content.

Latest edition information

For the third edition (January 2024), NUTS codes now give the code and not the label, so there are no issues with the encoding of non-Latin characters), and some changes have been made to the labels of NACE level 2 for Agriculture and Mining).

Main Topics:

Working time; Working conditions and sustainable work; Working conditions; Teleworking; Sustainable work; Work-life balance; Health and well-being at work; Job quality.

In September 2024, the global PMI amounted to 47.5 for new export orders and 48.8 for manufacturing. The manufacturing PMI was at its lowest point in August 2020. It decreased over the last months of 2022 after the effects of the Russia-Ukraine war and rising inflation hit the world economy, and remained around 50 since.