Dataset for journal article "Understanding the timeliness of automated data feeds is important for determining their usability for large-scale surveillance of healthcare-associated infections"
Authors/Creators
-
1.
University of Oxford
-
2.
UK Health Security Agency
Description
This dataset was used for the journal article "Understanding the timeliness of automated data feeds is important for determining their usability for large-scale surveillance of healthcare-associated infections".
For a selection of "activity dates", it contains the number of records available centrally at UKHSA on each day after the specified activity date, from a selection of data feeds that could potentially be used for national surveillance of healthcare-associated infections in England.
The associated R code is available from https://github.com/oxfordmmm/ukhsa-datafeeds-timeliness-anon
Notes
This study was funded by the National Institute for Health Research (NIHR) Health Protection Research Unit in Healthcare Associated Infections and Antimicrobial Resistance at Oxford University in partnership with the UK Health Security Agency (UKHSA) (NIHR200915), and supported by the NIHR Biomedical Research Centre, Oxford.
Files
ukhsa_datafeeds_timeliness_anon.csv
Files
(489.1 MB)
| Name | Size | Download all |
|---|---|---|
|
md5:510627926853330c86ac2e0c96840c01
|
489.1 MB | Preview Download |