COVID-19 risk score as a public health tool to guide targeted testing: A demonstration study in Qatar | Zendy

Laith J. AbuRaddad | Zendy; Soha R. Dargham | Zendy; Hiam Chemaitelly | Zendy; Peter Coyle | Zendy; Zaina Al Kanaani | Zendy; Einas Al Kuwari | Zendy; Adeel A. Butt | Zendy; Andrew Jeremijenko | Zendy; Anvar Hassan Kaleeckal | Zendy; Ali Nizar Latif | Zendy; Riyazuddin Mohammad Shaik | Zendy; Hanan F. Abdul Rahim | Zendy; Gheyath K. Nasrallah | Zendy; Hadi M. Yassine | Zendy; Mohamed Ghaith AlKuwari | Zendy; Hamad Eid Al Romaihi | Zendy; Mohamed H. AlThani | Zendy; Abdullatif Al Khal | Zendy; Roberto Bertollini | Zendy

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COVID-19 risk score as a public health tool to guide targeted testing: A demonstration study in Qatar

Author(s) -

Laith J. AbuRaddad,

Soha R. Dargham,

Hiam Chemaitelly,

Peter Coyle,

Zaina Al Kanaani,

Einas Al Kuwari,

Adeel A. Butt,

Andrew Jeremijenko,

Anvar Hassan Kaleeckal,

Ali Nizar Latif,

Riyazuddin Mohammad Shaik,

Hanan F. Abdul Rahim,

Gheyath K. Nasrallah,

Hadi M. Yassine,

Mohamed Ghaith AlKuwari,

Hamad Eid Al Romaihi,

Mohamed H. AlThani,

Abdullatif Al Khal,

Roberto Bertollini

Publication year - 2022

Publication title -

plos one

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.99

H-Index - 332

ISSN - 1932-6203

DOI - 10.1371/journal.pone.0271324

Subject(s) - receiver operating characteristic , logistic regression , medicine , risk assessment , area under the curve , covid-19 , framingham risk score , predictive value of tests , confidence interval , disease , infectious disease (medical specialty) , computer science , computer security

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