Coronavirus (COVID-19) - Office for National Statistics

COVID-19 Schools Infection Survey, England - Office for National Statistics
▻https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/conditionsanddiseases/bulletins/covid19schoolsinfectionsurveyengland/mentalhealthandlongcovidnovembertodecember2021

• Since March 2020, 1.0% of primary school-aged pupils and 2.7% of secondary school-aged pupils met the Delphi criteria for having experienced long COVID lasting at least 12 weeks.
• “Loss of taste or smell” was the only symptom group where the prevalence was significantly higher for those who had received a positive coronavirus (COVID-19) test since March 2020 than those who hadn’t, for both primary and secondary school-aged pupils aged under 16 years.
• Both primary and secondary school pupils who tested positive for COVID-19 showed no significant difference in the number presenting with a “probable mental disorder” compared with those without a positive test.
• Primary school pupils with long COVID (under the Delphi criteria) were significantly more likely to have a probable mental disorder (30.0%) than those without long COVID (7.7%); the trend was similar for secondary school pupils (22.6% compared with 13.6%), but this is not statistically significant.

Coronavirus (COVID-19) Infection Survey, characteristics of people testing positive for #COVID-19, UK - Office for National Statistics
▻https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/conditionsanddiseases/bulletins/coronaviruscovid19infectionsurveycharacteristicsofpeopletestingpositiveforcovid19uk/19january2022

The risk of #reinfection was 16 times higher in the Omicron-dominant period (20 December 2021 to 9 January 2022) compared with the Delta-dominant period (17 May to 19 December 2021).

Covid reinfection: how likely are you to catch virus multiple times? | Coronavirus | The Guardian
▻https://www.theguardian.com/world/2022/jan/21/covid-reinfection-how-likely-are-you-to-catch-virus-multiple-times

The team add that this means protection against catching Covid arising from a previous infection within the past six months has fallen from about 85% before Omicron turned up to somewhere between 0% and 27%.

Covid-19 : avec #Omicron, 16 fois plus de risques d’être réinfecté qu’avec Delta ? | LCI
▻https://www.lci.fr/sante/covid-19-avec-omicron-16-fois-plus-de-risques-d-etre-reinfecte-qu-avec-delta-sel

Face à ce risque plus élevé de réinfection, certains sont plus exposés que d’autres. Les personnes non vaccinées, par exemple, sont environ deux fois plus susceptibles d’être réinfectées que les personnes ayant reçu leur deuxième dose il y a 14 à 89 jours.

En Grande Bretagne, 1,2 million de personnes déclaraient souffrir d’un Covid long fin octobre (mais comme tu sais, c’est dans leur tête).

Prevalence of ongoing symptoms following coronavirus (COVID-19) infection in the UK - Office for National Statistics
▻https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/conditionsanddiseases/bulletins/prevalenceofongoingsymptomsfollowingcoronaviruscovid19infectionintheuk/2december2021

An estimated 1.2 million people living in private households in the UK (1.9% of the population) were experiencing self-reported long COVID (symptoms persisting for more than four weeks after the first suspected coronavirus (COVID-19) infection that were not explained by something else) as of 31 October 2021; this is consistent with the 1.2 million (1.9%) seen as of 2 October 2021.

Coronavirus (#COVID-19) latest insights - Office for National Statistics
▻https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/conditionsanddiseases/articles/coronaviruscovid19/latestinsights

Across England, the percentage of people testing positive continued to increase in all age groups in the week ending 10 July 2021, but is highest in teenagers and young adults.

Coronavirus (#COVID-19) Infection Survey, antibody and vaccination data, UK - Office for National Statistics
▻https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/conditionsanddiseases/bulletins/coronaviruscovid19infectionsurveyantibodyandvaccinationdatafortheuk/7july2021

Estimation de la #séroprévalence #sars-cov2 de la semaine du 14 au 21 juin chez les adultes du #royaume-uni

Main points

In England, it is estimated that around 9 in 10 adults, or 89.8% of the adult population (95% credible interval: 88.2% to 91.3%) would have tested positive for antibodies against coronavirus (COVID-19) - SARS-CoV-2 - on a blood test in the week beginning 14 June 2021, suggesting they had the infection in the past or have been vaccinated.

In Wales, it is estimated that 9 in 10 adults, or 91.8% of the adult population (95% credible interval: 90.1% to 93.3%) would have tested positive for antibodies against SARS-CoV-2 on a blood test in the week beginning 14 June 2021, suggesting they had the infection in the past or have been vaccinated.

In Northern Ireland, it is estimated that close to 9 in 10 adults, or 87.2% of the adult population (95% credible interval: 84.2% to 90.2%) would have tested positive for antibodies against SARS-CoV-2 on a blood test in the week beginning 14 June 2021, suggesting they had the infection in the past or have been vaccinated.

In Scotland, it is estimated that over 8 in 10 adults, or 84.7% of the adult population (95% credible interval: 82.4% to 86.9%) would have tested positive for antibodies against SARS-CoV-2 on a blood test in the week beginning 14 June 2021, suggesting they had the infection in the past or have been vaccinated.

Across all four countries of the UK, there is a clear pattern between vaccination and testing positive for COVID-19 antibodies but the detection of antibodies alone is not a precise measure of the immunity protection given by vaccination .

#anticorps #immunité

Coronavirus (COVID-19) Infection Survey pilot - Office for National Statistics
▻https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/conditionsanddiseases/bulletins/coronaviruscovid19infectionsurveypilot/28may2020

4. Antibody tests for #COVID-19

Around 6.78% of people who provided blood samples tested positive for antibodies to COVID-19

#royaume-uni #sérologie #sars-cov2

Dominique Méda : « Les plus forts taux de surmortalité concernent les “travailleurs essentiels” »
▻https://www.lemonde.fr/idees/article/2020/05/23/dominique-meda-les-plus-forts-taux-de-surmortalite-concernent-les-travailleu

En revanche, l’équivalent britannique de l’Insee, l’Office for National Statistics (ONS), a exploité les données de mortalité par le Covid-19 (« Coronavirus (Covid-19) Roundup ») sous l’angle socioprofessionnel. L’une de ses études analyse les 2 494 décès impliquant le coronavirus intervenus entre le 9 mars et le 20 avril dans la population en âge de travailler (20-64 ans) en Angleterre et au Pays de Galles. La profession étant indiquée sur le certificat de décès, on peut comparer la composition socioprofessionnelle des personnes décédées du Covid-19 à celle de l’ensemble des personnes décédées du même âge et du même sexe.

Les plus forts taux de surmortalité concernent en premier lieu les travailleurs des métiers du soin à la personne (hors travailleurs de la santé, car les médecins et infirmières n’ont pas enregistré de surmortalité), suivis des chauffeurs de taxi et d’autobus, des chefs cuisiniers et des assistants de vente et de détail ; autrement dit, ceux que l’ONS décrits comme les « key workers », les « travailleurs essentiels ». L’ONS a aussi montré la plus forte probabilité pour les non-Blancs de décéder du coronavirus, en partie explicable par des facteurs socio-économiques.

L’étude :
▻https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/conditionsanddiseases/articles/coronaviruscovid19roundup/2020-03-26

#Coronavirus (#COVID-19) Infection Survey pilot - Office for National Statistics
▻https://www.ons.gov.uk/peoplepopulationandcommunity/healthandsocialcare/conditionsanddiseases/bulletins/coronaviruscovid19infectionsurveypilot/england14may2020

Si l’#âge est le principal facteur de mauvais pronostic, il n’a pas d’impact sur le risque d’avoir une COVID-19 selon les données de l’ONS du Royaume-Uni.

There is no evidence suggesting age has an impact on the likelihood of an individual having COVID-19

There is no evidence of differences in the proportions of people testing positive for COVID-19 between different age categories.

The black lines on Figure 3 show the confidence intervals for the actual percentage of the population infected with COVID-19 for different age groups. The range of the values are large and overlap substantially for all age groups. This indicates that the actual percentage of individuals within an age group could be higher or lower than any other age group.

https://pbs.twimg.com/media/EX-xiUPXsAsY9I3?format=png&name=medium#.jpg