COVID-19 Vaccination Adverse Reactions (CVAR) Dataset

COVID-19 Vaccination Adverse Reactions (CVAR) Dataset#

1. Summary#

Dataset descriptor Dataset-specific information
Name of dataset in TRE CVAR
Other name None
Temporal coverage 08/12/2020 onwards
TRE temporal coverage 08/12/2020 onwards
Owner NHS England
Short description Dataset of anyone vaccinated against SARS-CoV-2 within England and anyone vaccinated in a devolved administration where this information is subsequently passed to England who has had an adverse reaction within the first 15 minutes following vaccination. The source of all vaccination data is the National Immunisation Management System (NIMS) database. A record represents one vaccination.
Frequency of update Annually
Key link https://digital.nhs.uk/services/data-access-request-service-dars/dars-products-and-services/data-set-catalogue/covid-19-vaccination-adverse-reactions
Keywords COVID-19, Vaccination, Adverse reaction
Geographical coverage England
Data resolution Vaccination
Specific restrictions to data use Research must be related to COVID-19. For examples of research purposes acceptable to NHS England see the COVID-19 Public Health Directions 2020: https://digital.nhs.uk/about-nhs-digital/corporate-information-and-documents/directions-and-data-provision-notices/secretary-of-state-directions/covid-19-public-health-directions-2020
Number of variables 31
Number of observations 100
Participant count 46
Date of last extract 2023-04-13

2. Metrics#

The tables below summarise the CVAR dataset in the UK LLC TRE.

Table 1 The number of participants from each LPS that are represented in the CVAR dataset in the UK LLC TRE
(Note: numbers relate to the most recent extract of NHS England data. Numbers <10 are not included in the total)

LPS Participant count
ALSPAC 0
BCS70 <10
BIB <10
ELSA <10
EPICN <10
EXCEED <10
FENLAND <10
GLAD 46
MCS <10
NCDS58 <10
NEXTSTEP 0
NIHRBIO_COPING <10
NSHD46 0
TEDS 0
TRACKC19 <10
TWINSUK <10
UKHLS <10
TOTAL 46

3. Helpful syntax#

Below we will include syntax that may be helpful to other researchers in the UK LLC TRE. For longer scripts, we will include a snippet of the code plus a link to Git where you can find the full script.