The Coronavirus (COVID-19) Press Briefings Corpus is a work in progress to collect and present in a machine readable text dataset of the daily briefings from around the world by government authorities. During the peak of the pandemic, most countries around the world informed their citizens of the status of the pandemic (usually involving an update on the number of infection cases, number of deaths) and other policy-oriented decisions about dealing with the health crisis, such as advice about what to do to reduce the spread of the epidemic.

Usually daily briefings did not occur on a Sunday.

At the moment the dataset includes:

UK/England: Daily Press Briefings by UK Government between 12 March 2020 - 01 June 2020 (70 briefings in total)

Scotland: Daily Press Briefings by Scottish Government between 3 March 2020 - 01 June 2020 (76 briefings in total)

Wales: Daily Press Briefings by Welsh Government between 23 March 2020 - 01 June 2020 (56 briefings in total)

Northern Ireland: Daily Press Briefings by N. Ireland Assembly between 23 March 2020 - 01 June 2020 (56 briefings in total)

World Health Organisation: Press Briefings occuring usually every 2 days between 22 January 2020 - 01 June 2020 (63 briefings in total)

More countries will be added in due course, and we will be keeping this updated to cover the latest daily briefings available.

The corpus is compiled to allow for further automated political discourse analysis (classification).

Multilingual (EN, ES, FR, PT, IT, DE, KO, RU, ZH, UK, VI) COVID-19-related corpus acquired from the website (https://www.cdc.gov/) of the Centers for Disease Control and Prevention of US government (11th August 2020). It contains 51202 TUs in total.

Coronavirus (COVID-19) vaccination rates among adults who live in England, including estimates by socio-demographic characteristic and Standard Occupational Classification (SOC) 2020

Bilingual (EN-UK) COVID-19-related corpus acquired from the portal (https://www.gov.pl/) of the Polish Government (8th May 2020)

[!NOTE] Dataset origin: https://live.european-language-grid.eu/catalogue/corpus/21101

  Description

Multilingual (EN, PL, FR, DE, VI, RU, UK) COVID-19-related corpus acquired from the portal (https://www.gov.pl/) of the Polish Government (8th May 2020). It contains 1447 TUs in total.

  Citation

COVID-19 POLISH-GOV v2 dataset. Multilingual (EN, PL, FR, DE, VI, RU, UK) (2020, May 09). Version 2.0. [Dataset (Text corpus)]. Source: European Language Grid.… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/COVID-19_POLISH-GOVv2.

[!NOTE] Dataset origin: https://live.european-language-grid.eu/catalogue/corpus/21340

  Description

Multilingual (EN, ES, FR, PT, IT, DE, KO, RU, ZH, UK, VI) COVID-19-related corpus acquired from the website (https://www.cdc.gov/) of the Centers for Disease Control and Prevention of US government (11th August 2020). It contains 51202 TUs in total.

  Citation

COVID-19 CDC dataset v2. Multilingual (EN, ES, FR, PT, IT, DE, KO, RU, ZH, UK, VI) (2020, August 16). Version 2.0.… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/COVID-19_CDC.

The UK Government has been holding daily press briefings in order to provide updates on the coronavirus (COVID-19) pandemic and outline any new measures being put in place to deal with the outbreak. Boris Johnson announced that the UK would be going into lockdown in a broadcast on March 23 which was watched live by more than half of the respondents to a daily survey. On June 28, just ** percent of respondents said they had not watched or read about the previous day's briefing. For further information about the coronavirus (COVID-19) pandemic, please visit our dedicated Facts and Figures page.

Multilingual (EN, PL, RU, UK) corpus acquired from the website (https://udsc.gov.pl/) of the Polish Office for Foreigners. It contains 864 TUs in total.

[!NOTE] Dataset origin: https://live.european-language-grid.eu/catalogue/corpus/21332

  Description

Multilingual (EN, FR, DE, ES, EL, IT, PL, PT, RO, KO, RU, ZH, UK, VI, TA, TL) COVID-19-related corpus acquired from the website (https://www.canada.ca/) of the Government of Canada (17th July 2020). It contains 77606 TUs in total.

  Citation

COVID-19 Government of Canada dataset v2. Multilingual (EN, FR, DE, ES, EL, IT, PL, PT, RO, KO, RU, ZH, UK, VI, TA, TL) (2020, August… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/COVID-19_Canada_Government.

IntroductionThe key to understanding the COVID-19 correlates of protection is assessing vaccine-induced immunity in different demographic groups. Young people are at a lower risk of COVID-19 mortality, females are at a lower risk than males, and females often generate stronger immune responses to vaccination.MethodsWe studied immune responses to two doses of BNT162b2 Pfizer COVID-19 vaccine in an adolescent cohort (n = 34, ages 12–16), an age group previously shown to elicit significantly greater immune responses to the same vaccine than young adults. Adolescents were studied with the aim of comparing their response to BNT162b2 to that of adults; and to assess the impacts of other factors such as sex, ongoing SARS–CoV–2 infection in schools, and prior exposure to endemic coronaviruses that circulate at high levels in young people. At the same time, we were able to evaluate immune responses to the co-administered live attenuated influenza vaccine. Blood samples from 34 adolescents taken before and after vaccination with COVID-19 and influenza vaccines were assayed for SARS–CoV–2-specific IgG and neutralising antibodies and cellular immunity specific for SARS–CoV–2 and endemic betacoronaviruses. The IgG targeting influenza lineages contained in the influenza vaccine were also assessed.ResultsRobust neutralising responses were identified in previously infected adolescents after one dose, and two doses were required in infection-naïve adolescents. As previously demonstrated, total IgG responses to SARS–CoV-2 Spike were significantly higher among vaccinated adolescents than among adults (aged 32–52) who received the BNT162b2 vaccine (comparing infection-naïve, 49,696 vs. 33,339; p = 0.03; comparing SARS-CoV–2 previously infected, 743,691 vs. 269,985; p

Age-standardised mortality rates for deaths involving coronavirus (COVID-19), non-COVID-19 deaths and all deaths by vaccination status, broken down by age group.

Coronavirus (COVID-19) vaccination rates among people aged 18 to 64 years who live in England by Standard Occupational Classification (SOC) 2020 and UK Standard Industrial Classification of economic activities (SIC) 2007.

Multilingual (EN, FR, DE, ES, EL, IT, PL, PT, RO, KO, RU, ZH, UK, VI, TA, TL) COVID-19-related corpus acquired from the website (https://www.canada.ca/) of the Government of Canada (17th July 2020). It contains 77606 TUs in total.

[!NOTE] Dataset origin: https://live.european-language-grid.eu/catalogue/corpus/21347

  Description

Multilingual (EN, AR, ES, FA, FR, IT, KO, PT, RU, TL, TR, UK, UR, VI, ZH) corpus acquired from the website https://usahello.org/, a free online center for information and education for refugees, asylum seekers, immigrants and welcoming communities (9th August 2020). It contains 41165 TUs in total.

  Citation

COVID-19 USAHELLO dataset v2. Multilingual (EN, AR, ES, FA, FR, IT… See the full description on the dataset page: https://huggingface.co/datasets/FrancophonIA/COVID-19-USAHELLOv2.

Context

I would love to see notebooks! Keep bringin' em.

Content

Worldometer manually analyzes, validates, and aggregates data from thousands of sources in real time and provides global COVID-19 live statistics for a wide audience of caring people around the world.

Our data is also trusted and used by the UK Government, Johns Hopkins CSSE, the Government of Thailand, the Government of Vietnam, the Government of Pakistan, Financial Times, The New York Times, Business Insider, BBC, and many others.

Acknowledgements

Acknowledge Sujay S

Inspiration

Thanks to blogs out there on medium! That made me do this!

This dataset reports the uptake of at least one dose of the COVID-19 vaccine among patients registered with GP practices in England. It provides a measure of immunisation coverage and supports monitoring of public health efforts to reduce the spread and severity of COVID-19. The data is sourced from Immform, EMIS Health, and TPP systems.

Rationale

Vaccination is a critical tool in controlling the COVID-19 pandemic. Monitoring vaccine uptake helps identify gaps in coverage, inform targeted outreach, and evaluate the effectiveness of immunisation campaigns. This indicator supports efforts to increase vaccine uptake and protect vulnerable populations.

Numerator

The numerator is the number of patients who have received at least one dose of a COVID-19 vaccine.

Denominator

The denominator is the total number of patients registered with GP practices, as recorded in the Immform-EMIS Health and TPP systems.

Caveats

Automated data collection is only possible from GP practices whose IT suppliers support automatic extraction. Some organisations may not have responded or submitted data, which could affect completeness and accuracy.

External References

More information is available from the following source:

Immform COVID-19 Collections Portal

Localities ExplainedThis dataset contains data based on either the resident locality or registered locality of the patient, a distinction is made between resident locality and registered locality populations:Resident Locality refers to individuals who live within the defined geographic boundaries of the locality. These boundaries are aligned with official administrative areas such as wards and Lower Layer Super Output Areas (LSOAs).Registered Locality refers to individuals who are registered with GP practices that are assigned to a locality based on the Primary Care Network (PCN) they belong to. These assignments are approximate—PCNs are mapped to a locality based on the location of most of their GP surgeries. As a result, locality-registered patients may live outside the locality, sometimes even in different towns or cities.This distinction is important because some health indicators are only available at GP practice level, without information on where patients actually reside. In such cases, data is attributed to the locality based on GP registration, not residential address.

Click here to explore more from the Birmingham and Solihull Integrated Care Partnerships Outcome Framework.

Multilingual (EN, AR, ES, FA, FR, IT, KO, PT, RU, TL, TR, UK, UR, VI, ZH) corpus acquired from the website https://usahello.org/, a free online center for information and education for refugees, asylum seekers, immigrants and welcoming communities (9th August 2020). It contains 41165 TUs in total.

Bilingual (EN-UK) corpus acquired from Wikipedia on health and COVID-19 domain (2nd May 2020)