TY - CPAPER
AU - Urwin, Esmond
AU - Harris, Andy
AU - Johnston, Jenny
AU - Masood, Erum
AU - Chuter, Antony
AU - Ferguson, Michael D.
AU - Martin, Joanne
AU - Sebire, Neil
AU - Quinlan, Philip
AU - Jefferson, Emily
PY - 2022
DA - September
TI - Augmenting laboratory COVID serology data granularity for SARS-CoV-2 reporting
VL - 7
IS - 3
DO - https://doi.org/10.23889/ijpds.v7i3.1887
AB - ObjectiveThe global COVID pandemic has highlighted the need for the reporting of enhanced serology data from laboratory testing data. Qualitative results alone do not provide detailed data to understand levels of SARS-CoV-2 seroprevalence within a populace. To enable this, a minimum data set is required to support standardised data reporting.
PB - Swansea University
UR - https://discovery.dundee.ac.uk/en/publications/a01e3899-26ea-4277-a503-7138e2e43cd5
KW - Coronavirus (COVID-19)
ER