Augmenting laboratory COVID serology data granularity for SARS-CoV-2 reporting

Esmond Urwin; Andy Harris; Jenny Johnston; Erum Masood; Antony Chuter; Michael Ferguson; Joanne Martin; Neil Sebire; Philip Quinlan; Emily Jefferson

doi:10.23889/ijpds.v7i3.1887

Augmenting laboratory COVID serology data granularity for SARS-CoV-2 reporting

Esmond Urwin
, Andy Harris
, Jenny Johnston
, Erum Masood
, Antony Chuter
, Michael Ferguson
, Joanne Martin
, Neil Sebire
, Philip Quinlan
, Emily Jefferson

Research output: Contribution to journal › Conference article › peer-review

52 Downloads (Pure)

Original language	English
Article number	116
Number of pages	1
Journal	International Journal of Population Data Science
Volume	7
Issue number	3
DOIs	https://doi.org/10.23889/ijpds.v7i3.1887
Publication status	Published - Sept 2022
Event	International Population Data Linkage Conference 2022 - Edinburgh Duration: 7 Sept 2022 → 9 Sept 2022 Conference number: 2022 https://ipdln.org/2022-conference

Keywords

COVID
SARS-CoV-2
serology
seroprevalence
data standard
standardisation
COVID testing data
COVID Serology Data Standard
laboratory data

Access to Document

10.23889/ijpds.v7i3.1887Licence: CC BY

Final Published VersionFinal published version, 206 KBLicence: CC BY

CO-CONNECT: COVID - Curated and Open Analysis and Research Platform (UKRI Open Call - UKRI Ideas to Address COVID-19) (Joint with University of Nottingham and 17 others)
Chalmers, J. (Investigator), Jefferson, E. (Investigator) & Morales, D. (Investigator)
29/10/20 → 27/10/22
Project: Research

Health Informatics Centre
Health and Clinical Services
Facility/equipment: Facility

Cite this

@article{a01e389926ea4277a5037138e2e43cd5,

title = "Augmenting laboratory COVID serology data granularity for SARS-CoV-2 reporting",

keywords = "COVID, SARS-CoV-2, serology, seroprevalence, data standard, standardisation, COVID testing data, COVID Serology Data Standard, laboratory data",

author = "Esmond Urwin and Andy Harris and Jenny Johnston and Erum Masood and Antony Chuter and Michael Ferguson and Joanne Martin and Neil Sebire and Philip Quinlan and Emily Jefferson",

note = "{\textcopyright} The Authors. Open Access under CC BY 4.0.; International Population Data Linkage Conference 2022, IPDLN ; Conference date: 07-09-2022 Through 09-09-2022",

year = "2022",

month = sep,

doi = "10.23889/ijpds.v7i3.1887",

language = "English",

volume = "7",

number = "3",

url = "https://ipdln.org/2022-conference",

}

TY - JOUR

T1 - Augmenting laboratory COVID serology data granularity for SARS-CoV-2 reporting

AU - Urwin, Esmond

AU - Harris, Andy

AU - Johnston, Jenny

AU - Masood, Erum

AU - Chuter, Antony

AU - Ferguson, Michael

AU - Martin, Joanne

AU - Sebire, Neil

AU - Quinlan, Philip

AU - Jefferson, Emily

N1 - Conference code: 2022

PY - 2022/9

Y1 - 2022/9

KW - COVID

KW - SARS-CoV-2

KW - serology

KW - seroprevalence

KW - data standard

KW - standardisation

KW - COVID testing data

KW - COVID Serology Data Standard

KW - laboratory data

U2 - 10.23889/ijpds.v7i3.1887

DO - 10.23889/ijpds.v7i3.1887

M3 - Conference article

SN - 2399-4908

VL - 7

JO - International Journal of Population Data Science

JF - International Journal of Population Data Science

IS - 3

M1 - 116

T2 - International Population Data Linkage Conference 2022

Y2 - 7 September 2022 through 9 September 2022

ER -

Augmenting laboratory COVID serology data granularity for SARS-CoV-2 reporting

Keywords

Access to Document

Projects

CO-CONNECT: COVID - Curated and Open Analysis and Research Platform (UKRI Open Call - UKRI Ideas to Address COVID-19) (Joint with University of Nottingham and 17 others)

Equipment

Health Informatics Centre

Cite this