Enzyme-linked Immunosorbent Assay (IELISA) Dataset#
# define target dataset to document
schema = 'nhsd'
table = 'IELISA'
version = 'v0003'
# import functions from script helper
import sys
script_fp = "../../../../scripts/"
sys.path.insert(0, script_fp)
from data_doc_helper import DocHelper
# create instance
document = DocHelper(schema, table, version, script_fp)
# markdown/code hybrid cell module requirement
from IPython.display import display, Markdown
1. Summary#
This dataset is also known as the Covid-19 UK Non-hospital Antibody Testing Results dataset.
display(document.style_table(document.get_dataset_info()))
Dataset descriptor | Dataset-specific information |
---|---|
Name of dataset in TRE | IELISA |
Other name | Covid-19 UK Non-hospital Antibody Testing Results |
Keywords | COVID-19, Testing, Immunity |
Short description | Dataset of results across the UK from Pillar 3 serology (antibody) testing for people who have had COVID-19. A record represents one serology test. |
Owner | Department of Health and Social Care |
Geographical coverage | UK |
Temporal coverage | 01/09/2020 onwards |
TRE temporal coverage | 01/09/2020 to 2022 |
Frequency of update | Annually |
Date of last extract | None |
DOI | None |
Data resolution | Serology test |
Number of variables | None |
Number of participants | None |
Number of observations | None |
Version | None |
Key link | None |
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 |
2. Metrics#
The tables below summarise the IELISA dataset in the UK LLC TRE.
Table 1 The number of participants from each LPS that are represented in the IELISA dataset in the UK LLC TRE
(Note: numbers relate to the most recent extract of NHS England data)
display(document.style_table(document.get_cohort_count()))
LPS | Participant count |
---|---|
ALSPAC | 108 |
BCS70 | 184 |
BIB | 276 |
ELSA | 88 |
EPICN | 39 |
EXCEED | 279 |
FENLAND | 300 |
GLAD | 3923 |
MCS | 342 |
NCDS58 | 120 |
NEXTSTEP | 92 |
NIHRBIO_COPING | 1038 |
NSHD46 | 11 |
TEDS | 192 |
TRACKC19 | 1177 |
TWINSUK | 482 |
UKHLS | 189 |
TOTAL | 8840 |
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.