Ontology highlight
ABSTRACT:
SUBMITTER: Abu-Raddad LJ
PROVIDER: S-EPMC9295939 | biostudies-literature | 2022
REPOSITORIES: biostudies-literature
Abu-Raddad Laith J LJ Dargham Soha S Chemaitelly Hiam H Coyle Peter P Al Kanaani Zaina Z Al Kuwari Einas E Butt Adeel A AA Jeremijenko Andrew A Kaleeckal Anvar Hassan AH Latif Ali Nizar AN Shaik Riyazuddin Mohammad RM Abdul Rahim Hanan F HF Nasrallah Gheyath K GK Yassine Hadi M HM Al Kuwari Mohamed G MG Al Romaihi Hamad Eid HE Al-Thani Mohamed H MH Al Khal Abdullatif A Bertollini Roberto R
PloS one 20220719 7
We developed a Coronavirus Disease 2019 (COVID-19) risk score to guide targeted RT-PCR testing in Qatar. The Qatar national COVID-19 testing database, encompassing a total of 2,688,232 RT-PCR tests conducted between February 5, 2020-January 27, 2021, was analyzed. Logistic regression analyses were implemented to derive the COVID-19 risk score, as a tool to identify those at highest risk of having the infection. Score cut-off was determined using the ROC curve based on maximum sum of sensitivity ...[more]