COVID-19 Hospitalisation in England Surveillance System (CHESS) Dataset

COVID-19 Hospitalisation in England Surveillance System (CHESS) Dataset#

1. Summary#

This dataset is now called the Severe Acute Respiratory Infection (SARI-Watch) surveillance system dataset.

Dataset descriptor Dataset-specific information
Name of dataset in TRE CHESS
Other name Severe Acute Respiratory Infection (SARI-Watch) surveillance system
Temporal coverage 12/03/2020 to 01/10/2022
TRE temporal coverage 12/03/2020 to 01/10/2022
Owner NHS England
Short description Dataset of patients admitted to hospital in England with a confirmed COVID-19 diagnosis. This includes people admitted to intensive care or high dependency units. A record represents one episode.
Frequency of update Annually
Key link https://digital.nhs.uk/about-nhs-digital/corporate-information-and-documents/directions-and-data-provision-notices/data-provision-notices-dpns/sgss-and-sari-watch-data
Keywords COVID-19, Hospitalisation
Geographical coverage England
Data resolution Inpatient episode
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 72
Number of observations 236
Participant count 188
Date of last extract 2023-04-13

2. Metrics#

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

Table 1 The number of participants from each LPS that are represented in the CHESS 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 12
BIB <10
ELSA 24
EPICN <10
EXCEED <10
FENLAND 14
GLAD 59
MCS 19
NCDS58 11
NEXTSTEP <10
NIHRBIO_COPING 11
NSHD46 13
TEDS 0
TRACKC19 <10
TWINSUK 25
UKHLS <10
TOTAL 188

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.