Cite
Unraveling COVID-19:A Large-Scale Characterization of 4.5 Million COVID-19 Cases Using CHARYBDIS
MLA
Kostka, Kristin, et al. “Unraveling COVID-19:A Large-Scale Characterization of 4.5 Million COVID-19 Cases Using CHARYBDIS.” Kostka , K , Duarte-Salles , T , Prats-Uribe , A , Sena , A G , Pistillo , A , Khalid , S , Lai , L Y H , Golozar , A , Alshammari , T M , Dawoud , D M , Nyberg , F , Wilcox , A B , Andryc , A , Williams , A , Ostropolets , A , Areia , C , Jung , C Y , Harle , C A , Reich , C G , Blacketer , C , Morales , D R , Dorr , D A , Burn , E , Roel , E , Tan , E H , Minty , E , De Falco , F , De Maeztu , G , Lipori , G , Alghoul , H , Zhu , H , Thomas , J A , Bian , J , Park , J , Roldán , J M , Posada , J D , Banda , J M , Horcajada , J P , Kohler , J , Shah , K , Natarajan , K , Lynch , K E , Liu , L , Schilling , L M , Recalde , M , Spotnitz , M , Gong , M , Matheny , M E , Valveny , N , Weiskopf , N G , Shah , N , Alser , O , Casajust , P , Park , R W , Schuff , R , Seager , S , Du Vall , S L , You , S C , Song , S , Fernández-Bertolín , S , Fortin , S , Magoc , T , Falconer , T , Subbian , V , Huser , V , Ahmed , W U R , Carter , W , Guan , Y , Galvan , Y , He , X , Rijnbeek , P R , Hripcsak , G , Ryan , P B , Suchard , M A & Prieto-Alhambra , D 2022 , ’ Unraveling COVID-19 : A Large-Scale Characterization of 4.5 Million COVID-19 Cases Using CHARYBDIS ’ , Clinical Epidemiology , Vol. 14 , Pp. 369-384 , 2022. EBSCOhost, widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsoai&AN=edsoai.on1322185091&authtype=sso&custid=ns315887.
APA
Kostka, K., Duarte-Salles, T., Prats-Uribe, A., Sena, A. G., Pistillo, A., Khalid, S., Lai, L. Y. H., Golozar, A., Alshammari, T. M., Dawoud, D. M., Nyberg, F., Wilcox, A. B., Andryc, A., Williams, A., Ostropolets, A., Areia, C., Jung, C. Y., Harle, C. A., Reich, C. G., … Prieto-Alhambra, D. (2022). Unraveling COVID-19:A Large-Scale Characterization of 4.5 Million COVID-19 Cases Using CHARYBDIS. Kostka , K , Duarte-Salles , T , Prats-Uribe , A , Sena , A G , Pistillo , A , Khalid , S , Lai , L Y H , Golozar , A , Alshammari , T M , Dawoud , D M , Nyberg , F , Wilcox , A B , Andryc , A , Williams , A , Ostropolets , A , Areia , C , Jung , C Y , Harle , C A , Reich , C G , Blacketer , C , Morales , D R , Dorr , D A , Burn , E , Roel , E , Tan , E H , Minty , E , De Falco , F , De Maeztu , G , Lipori , G , Alghoul , H , Zhu , H , Thomas , J A , Bian , J , Park , J , Roldán , J M , Posada , J D , Banda , J M , Horcajada , J P , Kohler , J , Shah , K , Natarajan , K , Lynch , K E , Liu , L , Schilling , L M , Recalde , M , Spotnitz , M , Gong , M , Matheny , M E , Valveny , N , Weiskopf , N G , Shah , N , Alser , O , Casajust , P , Park , R W , Schuff , R , Seager , S , Du Vall , S L , You , S C , Song , S , Fernández-Bertolín , S , Fortin , S , Magoc , T , Falconer , T , Subbian , V , Huser , V , Ahmed , W U R , Carter , W , Guan , Y , Galvan , Y , He , X , Rijnbeek , P R , Hripcsak , G , Ryan , P B , Suchard , M A & Prieto-Alhambra , D 2022 , ’ Unraveling COVID-19 : A Large-Scale Characterization of 4.5 Million COVID-19 Cases Using CHARYBDIS ’ , Clinical Epidemiology , Vol. 14 , Pp. 369-384 .
Chicago
Kostka, Kristin, Talita Duarte-Salles, Albert Prats-Uribe, Anthony G. Sena, Andrea Pistillo, Sara Khalid, Lana Y.H. Lai, et al. 2022. “Unraveling COVID-19:A Large-Scale Characterization of 4.5 Million COVID-19 Cases Using CHARYBDIS.” Kostka , K , Duarte-Salles , T , Prats-Uribe , A , Sena , A G , Pistillo , A , Khalid , S , Lai , L Y H , Golozar , A , Alshammari , T M , Dawoud , D M , Nyberg , F , Wilcox , A B , Andryc , A , Williams , A , Ostropolets , A , Areia , C , Jung , C Y , Harle , C A , Reich , C G , Blacketer , C , Morales , D R , Dorr , D A , Burn , E , Roel , E , Tan , E H , Minty , E , De Falco , F , De Maeztu , G , Lipori , G , Alghoul , H , Zhu , H , Thomas , J A , Bian , J , Park , J , Roldán , J M , Posada , J D , Banda , J M , Horcajada , J P , Kohler , J , Shah , K , Natarajan , K , Lynch , K E , Liu , L , Schilling , L M , Recalde , M , Spotnitz , M , Gong , M , Matheny , M E , Valveny , N , Weiskopf , N G , Shah , N , Alser , O , Casajust , P , Park , R W , Schuff , R , Seager , S , Du Vall , S L , You , S C , Song , S , Fernández-Bertolín , S , Fortin , S , Magoc , T , Falconer , T , Subbian , V , Huser , V , Ahmed , W U R , Carter , W , Guan , Y , Galvan , Y , He , X , Rijnbeek , P R , Hripcsak , G , Ryan , P B , Suchard , M A & Prieto-Alhambra , D 2022 , ’ Unraveling COVID-19 : A Large-Scale Characterization of 4.5 Million COVID-19 Cases Using CHARYBDIS ’ , Clinical Epidemiology , Vol. 14 , Pp. 369-384 . http://widgets.ebscohost.com/prod/customlink/proxify/proxify.php?count=1&encode=0&proxy=&find_1=&replace_1=&target=https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&scope=site&db=edsoai&AN=edsoai.on1322185091&authtype=sso&custid=ns315887.