COVID-19 risk score as a public health tool to guide targeted testing: A demonstration study in Qatar
المؤلف | J. Abu-Raddad, Laith |
المؤلف | Dargham, Soha |
المؤلف | Chemaitelly, Hiam |
المؤلف | Coyle, Peter |
المؤلف | Al Kanaani, Zaina |
المؤلف | Al Kuwari, Einas |
المؤلف | A. Butt, Adeel |
المؤلف | Jeremijenko, Andrew |
المؤلف | Hassan Kaleeckal, Anvar |
المؤلف | Nizar Latif, Ali |
المؤلف | Mohammad Shaik, Riyazuddin |
المؤلف | F. Abdul Rahim, Hanan |
المؤلف | K. Nasrallah, Gheyath |
المؤلف | M. Yassine, Hadi |
المؤلف | G. Al Kuwari, Mohamed |
المؤلف | Eid Al Romaihi, Hamad |
المؤلف | H. Al-Thani, Mohamed |
المؤلف | Al Khal, Abdullatif |
المؤلف | Bertollini, Roberto |
تاريخ الإتاحة | 2022-08-31T20:27:50Z |
تاريخ النشر | 2022 |
اسم المنشور | PLoS ONE |
المعرّف | http://dx.doi.org/10.1371/journal.pone.0271324 |
الاقتباس | Abu-Raddad, L. J., Dargham, S., Chemaitelly, H., Coyle, P., Al Kanaani, Z., Al Kuwari, E., ... & Bertollini, R. (2022). COVID-19 risk score as a public health tool to guide targeted testing: A demonstration study in Qatar. PloS one, 17(7), e0271324. |
الملخص | We developed a Coronavirus Disease 2019 (COVID-19) risk score to guide targeted RTPCR 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 and specificity. The score's performance diagnostics were assessed. Logistic regression analysis identified age, sex, and nationality as significant predictors of infection and were included in the risk score. The ROC curve was generated and the area under the curve was estimated at 0.63 (95% CI: 0.63-0.63). The score had a sensitivity of 59.4% (95% CI: 59.1%-59.7%), specificity of 61.1% (95% CI: 61.1%-61.2%), a positive predictive value of 10.9% (95% CI: 10.8%- 10.9%), and a negative predictive value of 94.9% (94.9%-95.0%). The concept and utility of a COVID-19 risk score were demonstrated in Qatar. Such a public health tool can have considerable utility in optimizing testing and suppressing infection transmission, while maximizing efficiency and use of available resources. 2022 Abu-Raddad et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
اللغة | en |
الناشر | Public Library of Science |
الموضوع | COVID-19 study in Qatar |
النوع | Article |
رقم المجلد | 17 |
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