@article{RN395,
   author = {Prieto-Alhambra, D. and Kostka, K. and Duarte-Salles, T. and Prats-Uribe, A. and Sena, A. and Pistillo, A. and Khalid, S. and Lai, L. and Golozar, A. and Alshammari, T. M. and Dawoud, D. and Nyberg, F. and Wilcox, A. and Andryc, A. and Williams, A. and Ostropolets, A. and Areia, C. and Jung, C. Y. and Harle, C. and Reich, C. and Blacketer, C. and Morales, D. and Dorr, D. A. and Burn, E. and Roel, E. and Tan, E. H. and Minty, E. and DeFalco, F. and de Maeztu, G. and Lipori, G. and Alghoul, H. and Zhu, H. and Thomas, J. and Bian, J. and Park, J. and Roldán, J. M. and Posada, J. and Banda, J. M. and Horcajada, J. P. and Kohler, J. and Shah, K. and Natarajan, K. and Lynch, K. and Liu, L. and Schilling, L. and Recalde, M. and Spotnitz, M. and Gong, M. and Matheny, M. and Valveny, N. and Weiskopf, N. and Shah, N. and Alser, O. and Casajust, P. and Park, R. W. and Schuff, R. and Seager, S. and DuVall, S. and You, S. C. and Song, S. and Fernández-Bertolín, S. and Fortin, S. and Magoc, T. and Falconer, T. and Subbian, V. and Huser, V. and Ahmed, W. U. and Carter, W. and Guan, Y. and Galvan, Y. and He, X. and Rijnbeek, P. and Hripcsak, G. and Ryan, P. and Suchard, M.},
   title = {Unraveling COVID-19: a large-scale characterization of 4.5 million COVID-19 cases using CHARYBDIS},
   journal = {Res Sq},
   note = {Prieto-Alhambra, Daniel Orcid: 0000-0002-3950-6346 Kostka, Kristin Orcid: 0000-0003-2595-8736 Duarte-Salles, Talita Prats-Uribe, Albert Orcid: 0000-0003-1202-9153 Sena, Anthony Orcid: 0000-0001-8630-5347 Pistillo, Andrea Khalid, Sara Lai, Lana Golozar, Asieh Orcid: 0000-0002-4243-155x Alshammari, Thamir M Dawoud, Dalia Nyberg, Fredrik Orcid: 0000-0003-0892-5668 Wilcox, Adam Andryc, Alan Williams, Andrew Orcid: 0000-0002-0692-412x Ostropolets, Anna Areia, Carlos Jung, Chi Young Harle, Christopher Reich, Christian Blacketer, Clair Morales, Daniel Dorr, David A Burn, Edward Orcid: 0000-0002-9286-1128 Roel, Elena Orcid: 0000-0002-1964-3546 Tan, Eng Hooi Minty, Evan DeFalco, Frank de Maeztu, Gabriel Lipori, Gigi Alghoul, Heba Orcid: 0000-0001-8234-5843 Zhu, Hong Thomas, Jason Orcid: 0000-0003-3892-7197 Bian, Jiang Orcid: 0000-0002-2238-5429 Park, Jimyung Roldán, Jordi Martínez Posada, Jose Orcid: 0000-0003-3864-0241 Banda, Juan M Horcajada, Juan P Kohler, Julianna Shah, Karishma Natarajan, Karthik Orcid: 0000-0002-9066-9431 Lynch, Kristine Liu, Li Schilling, Lisa Recalde, Martina Spotnitz, Matthew Gong, Mengchun Matheny, Michael Valveny, Neus Weiskopf, Nicole Shah, Nigam Orcid: 0000-0001-9385-7158 Alser, Osaid Casajust, Paula Orcid: 0000-0003-2733-5436 Park, Rae Woong Schuff, Robert Seager, Sarah DuVall, Scott You, Seng Chan Song, Seokyoung Fernández-Bertolín, Sergio Fortin, Stephen Magoc, Tanja Falconer, Thomas Subbian, Vignesh Huser, Vojtech Ahmed, Waheed-Ul-Rahman Orcid: 0000-0003-0880-0355 Carter, William Guan, Yin Galvan, Yankuic He, Xing Rijnbeek, Peter Hripcsak, George Ryan, Patrick Suchard, Marc Orcid: 0000-0001-9818-479x INV-016201/GATES/Bill & Melinda Gates Foundation/United States INV-016910/GATES/Bill & Melinda Gates Foundation/United States T15 LM007079/LM/NLM NIH HHS/United States P30 AG059307/AG/NIA NIH HHS/United States T15 LM007442/LM/NLM NIH HHS/United States R01 LM006910/LM/NLM NIH HHS/United States UL1 TR002369/TR/NCATS NIH HHS/United States WT_/Wellcome Trust/United Kingdom INV-019257/GATES/Bill & Melinda Gates Foundation/United States Preprint United States 2021/03/11 Res Sq. 2021 Mar 1:rs.3.rs-279400. doi: 10.21203/rs.3.rs-279400/v1. Preprint.},
   abstract = {Background: Routinely collected real world data (RWD) have great utility in aiding the novel coronavirus disease (COVID-19) pandemic response [1,2]. Here we present the international Observational Health Data Sciences and Informatics (OHDSI) [3] Characterizing Health Associated Risks, and Your Baseline Disease In SARS-COV-2 (CHARYBDIS) framework for standardisation and analysis of COVID-19 RWD. Methods: We conducted a descriptive cohort study using a federated network of data partners in the United States, Europe (the Netherlands, Spain, the UK, Germany, France and Italy) and Asia (South Korea and China). The study protocol and analytical package were released on 11 (th) June 2020 and are iteratively updated via GitHub [4]. Findings: We identified three non-mutually exclusive cohorts of 4,537,153 individuals with a clinical COVID-19 diagnosis or positive test, 886,193 hospitalized with COVID-19 , and 113,627 hospitalized with COVID-19 requiring intensive services . All comorbidities, symptoms, medications, and outcomes are described by cohort in aggregate counts, and are available in an interactive website: https://data.ohdsi.org/Covid19CharacterizationCharybdis/. Interpretation: CHARYBDIS findings provide benchmarks that contribute to our understanding of COVID-19 progression, management and evolution over time. This can enable timely assessment of real-world outcomes of preventative and therapeutic options as they are introduced in clinical practice. , DOI = 10.21203/rs.3.rs-279400/v1},
   year = {2021},
   type = {Journal Article}
}

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COVID-19: a large-scale characterization of 4.5 million COVID-19 cases using CHARYBDIS","journal":"Res Sq","note":"Prieto-Alhambra, Daniel Orcid: 0000-0002-3950-6346 Kostka, Kristin Orcid: 0000-0003-2595-8736 Duarte-Salles, Talita Prats-Uribe, Albert Orcid: 0000-0003-1202-9153 Sena, Anthony Orcid: 0000-0001-8630-5347 Pistillo, Andrea Khalid, Sara Lai, Lana Golozar, Asieh Orcid: 0000-0002-4243-155x Alshammari, Thamir M Dawoud, Dalia Nyberg, Fredrik Orcid: 0000-0003-0892-5668 Wilcox, Adam Andryc, Alan Williams, Andrew Orcid: 0000-0002-0692-412x Ostropolets, Anna Areia, Carlos Jung, Chi Young Harle, Christopher Reich, Christian Blacketer, Clair Morales, Daniel Dorr, David A Burn, Edward Orcid: 0000-0002-9286-1128 Roel, Elena Orcid: 0000-0002-1964-3546 Tan, Eng Hooi Minty, Evan DeFalco, Frank de Maeztu, Gabriel Lipori, Gigi Alghoul, Heba Orcid: 0000-0001-8234-5843 Zhu, Hong Thomas, Jason Orcid: 0000-0003-3892-7197 Bian, Jiang Orcid: 0000-0002-2238-5429 Park, Jimyung Roldán, Jordi Martínez Posada, Jose Orcid: 0000-0003-3864-0241 Banda, Juan M Horcajada, Juan P Kohler, Julianna Shah, Karishma Natarajan, Karthik Orcid: 0000-0002-9066-9431 Lynch, Kristine Liu, Li Schilling, Lisa Recalde, Martina Spotnitz, Matthew Gong, Mengchun Matheny, Michael Valveny, Neus Weiskopf, Nicole Shah, Nigam Orcid: 0000-0001-9385-7158 Alser, Osaid Casajust, Paula Orcid: 0000-0003-2733-5436 Park, Rae Woong Schuff, Robert Seager, Sarah DuVall, Scott You, Seng Chan Song, Seokyoung Fernández-Bertolín, Sergio Fortin, Stephen Magoc, Tanja Falconer, Thomas Subbian, Vignesh Huser, Vojtech Ahmed, Waheed-Ul-Rahman Orcid: 0000-0003-0880-0355 Carter, William Guan, Yin Galvan, Yankuic He, Xing Rijnbeek, Peter Hripcsak, George Ryan, Patrick Suchard, Marc Orcid: 0000-0001-9818-479x INV-016201/GATES/Bill & Melinda Gates Foundation/United States INV-016910/GATES/Bill & Melinda Gates Foundation/United States T15 LM007079/LM/NLM NIH HHS/United States P30 AG059307/AG/NIA NIH HHS/United States T15 LM007442/LM/NLM NIH HHS/United States R01 LM006910/LM/NLM NIH HHS/United States UL1 TR002369/TR/NCATS NIH HHS/United States WT_/Wellcome Trust/United Kingdom INV-019257/GATES/Bill & Melinda Gates Foundation/United States Preprint United States 2021/03/11 Res Sq. 2021 Mar 1:rs.3.rs-279400. doi: 10.21203/rs.3.rs-279400/v1. Preprint.","abstract":"Background: Routinely collected real world data (RWD) have great utility in aiding the novel coronavirus disease (COVID-19) pandemic response [1,2]. Here we present the international Observational Health Data Sciences and Informatics (OHDSI) [3] Characterizing Health Associated Risks, and Your Baseline Disease In SARS-COV-2 (CHARYBDIS) framework for standardisation and analysis of COVID-19 RWD. Methods: We conducted a descriptive cohort study using a federated network of data partners in the United States, Europe (the Netherlands, Spain, the UK, Germany, France and Italy) and Asia (South Korea and China). The study protocol and analytical package were released on 11 (th) June 2020 and are iteratively updated via GitHub [4]. Findings: We identified three non-mutually exclusive cohorts of 4,537,153 individuals with a clinical COVID-19 diagnosis or positive test, 886,193 hospitalized with COVID-19 , and 113,627 hospitalized with COVID-19 requiring intensive services . All comorbidities, symptoms, medications, and outcomes are described by cohort in aggregate counts, and are available in an interactive website: https://data.ohdsi.org/Covid19CharacterizationCharybdis/. Interpretation: CHARYBDIS findings provide benchmarks that contribute to our understanding of COVID-19 progression, management and evolution over time. This can enable timely assessment of real-world outcomes of preventative and therapeutic options as they are introduced in clinical practice. , DOI = 10.21203/rs.3.rs-279400/v1","year":"2021","bibtex":"@article{RN395,\r\n author = {Prieto-Alhambra, D. and Kostka, K. and Duarte-Salles, T. and Prats-Uribe, A. and Sena, A. and Pistillo, A. and Khalid, S. and Lai, L. and Golozar, A. and Alshammari, T. M. and Dawoud, D. and Nyberg, F. and Wilcox, A. and Andryc, A. and Williams, A. and Ostropolets, A. and Areia, C. and Jung, C. Y. and Harle, C. and Reich, C. and Blacketer, C. and Morales, D. and Dorr, D. A. and Burn, E. and Roel, E. and Tan, E. H. and Minty, E. and DeFalco, F. and de Maeztu, G. and Lipori, G. and Alghoul, H. and Zhu, H. and Thomas, J. and Bian, J. and Park, J. and Roldán, J. M. and Posada, J. and Banda, J. M. and Horcajada, J. P. and Kohler, J. and Shah, K. and Natarajan, K. and Lynch, K. and Liu, L. and Schilling, L. and Recalde, M. and Spotnitz, M. and Gong, M. and Matheny, M. and Valveny, N. and Weiskopf, N. and Shah, N. and Alser, O. and Casajust, P. and Park, R. W. and Schuff, R. and Seager, S. and DuVall, S. and You, S. C. and Song, S. and Fernández-Bertolín, S. and Fortin, S. and Magoc, T. and Falconer, T. and Subbian, V. and Huser, V. and Ahmed, W. U. and Carter, W. and Guan, Y. and Galvan, Y. and He, X. and Rijnbeek, P. and Hripcsak, G. and Ryan, P. and Suchard, M.},\r\n title = {Unraveling COVID-19: a large-scale characterization of 4.5 million COVID-19 cases using CHARYBDIS},\r\n journal = {Res Sq},\r\n note = {Prieto-Alhambra, Daniel Orcid: 0000-0002-3950-6346 Kostka, Kristin Orcid: 0000-0003-2595-8736 Duarte-Salles, Talita Prats-Uribe, Albert Orcid: 0000-0003-1202-9153 Sena, Anthony Orcid: 0000-0001-8630-5347 Pistillo, Andrea Khalid, Sara Lai, Lana Golozar, Asieh Orcid: 0000-0002-4243-155x Alshammari, Thamir M Dawoud, Dalia Nyberg, Fredrik Orcid: 0000-0003-0892-5668 Wilcox, Adam Andryc, Alan Williams, Andrew Orcid: 0000-0002-0692-412x Ostropolets, Anna Areia, Carlos Jung, Chi Young Harle, Christopher Reich, Christian Blacketer, Clair Morales, Daniel Dorr, David A Burn, Edward Orcid: 0000-0002-9286-1128 Roel, Elena Orcid: 0000-0002-1964-3546 Tan, Eng Hooi Minty, Evan DeFalco, Frank de Maeztu, Gabriel Lipori, Gigi Alghoul, Heba Orcid: 0000-0001-8234-5843 Zhu, Hong Thomas, Jason Orcid: 0000-0003-3892-7197 Bian, Jiang Orcid: 0000-0002-2238-5429 Park, Jimyung Roldán, Jordi Martínez Posada, Jose Orcid: 0000-0003-3864-0241 Banda, Juan M Horcajada, Juan P Kohler, Julianna Shah, Karishma Natarajan, Karthik Orcid: 0000-0002-9066-9431 Lynch, Kristine Liu, Li Schilling, Lisa Recalde, Martina Spotnitz, Matthew Gong, Mengchun Matheny, Michael Valveny, Neus Weiskopf, Nicole Shah, Nigam Orcid: 0000-0001-9385-7158 Alser, Osaid Casajust, Paula Orcid: 0000-0003-2733-5436 Park, Rae Woong Schuff, Robert Seager, Sarah DuVall, Scott You, Seng Chan Song, Seokyoung Fernández-Bertolín, Sergio Fortin, Stephen Magoc, Tanja Falconer, Thomas Subbian, Vignesh Huser, Vojtech Ahmed, Waheed-Ul-Rahman Orcid: 0000-0003-0880-0355 Carter, William Guan, Yin Galvan, Yankuic He, Xing Rijnbeek, Peter Hripcsak, George Ryan, Patrick Suchard, Marc Orcid: 0000-0001-9818-479x INV-016201/GATES/Bill & Melinda Gates Foundation/United States INV-016910/GATES/Bill & Melinda Gates Foundation/United States T15 LM007079/LM/NLM NIH HHS/United States P30 AG059307/AG/NIA NIH HHS/United States T15 LM007442/LM/NLM NIH HHS/United States R01 LM006910/LM/NLM NIH HHS/United States UL1 TR002369/TR/NCATS NIH HHS/United States WT_/Wellcome Trust/United Kingdom INV-019257/GATES/Bill & Melinda Gates Foundation/United States Preprint United States 2021/03/11 Res Sq. 2021 Mar 1:rs.3.rs-279400. doi: 10.21203/rs.3.rs-279400/v1. Preprint.},\r\n abstract = {Background: Routinely collected real world data (RWD) have great utility in aiding the novel coronavirus disease (COVID-19) pandemic response [1,2]. Here we present the international Observational Health Data Sciences and Informatics (OHDSI) [3] Characterizing Health Associated Risks, and Your Baseline Disease In SARS-COV-2 (CHARYBDIS) framework for standardisation and analysis of COVID-19 RWD. Methods: We conducted a descriptive cohort study using a federated network of data partners in the United States, Europe (the Netherlands, Spain, the UK, Germany, France and Italy) and Asia (South Korea and China). The study protocol and analytical package were released on 11 (th) June 2020 and are iteratively updated via GitHub [4]. Findings: We identified three non-mutually exclusive cohorts of 4,537,153 individuals with a clinical COVID-19 diagnosis or positive test, 886,193 hospitalized with COVID-19 , and 113,627 hospitalized with COVID-19 requiring intensive services . All comorbidities, symptoms, medications, and outcomes are described by cohort in aggregate counts, and are available in an interactive website: https://data.ohdsi.org/Covid19CharacterizationCharybdis/. Interpretation: CHARYBDIS findings provide benchmarks that contribute to our understanding of COVID-19 progression, management and evolution over time. This can enable timely assessment of real-world outcomes of preventative and therapeutic options as they are introduced in clinical practice. , DOI = 10.21203/rs.3.rs-279400/v1},\r\n year = {2021},\r\n type = {Journal Article}\r\n}\r\n\r\n","author_short":["Prieto-Alhambra, D.","Kostka, K.","Duarte-Salles, T.","Prats-Uribe, A.","Sena, A.","Pistillo, A.","Khalid, S.","Lai, L.","Golozar, A.","Alshammari, T. M.","Dawoud, D.","Nyberg, F.","Wilcox, A.","Andryc, A.","Williams, A.","Ostropolets, A.","Areia, C.","Jung, C. Y.","Harle, C.","Reich, C.","Blacketer, C.","Morales, D.","Dorr, D. A.","Burn, E.","Roel, E.","Tan, E. H.","Minty, E.","DeFalco, F.","de Maeztu, G.","Lipori, G.","Alghoul, H.","Zhu, H.","Thomas, J.","Bian, J.","Park, J.","Roldán, J. M.","Posada, J.","Banda, J. M.","Horcajada, J. P.","Kohler, J.","Shah, K.","Natarajan, K.","Lynch, K.","Liu, L.","Schilling, L.","Recalde, M.","Spotnitz, M.","Gong, M.","Matheny, M.","Valveny, N.","Weiskopf, N.","Shah, N.","Alser, O.","Casajust, P.","Park, R. W.","Schuff, R.","Seager, S.","DuVall, S.","You, S. C.","Song, S.","Fernández-Bertolín, S.","Fortin, S.","Magoc, T.","Falconer, T.","Subbian, V.","Huser, V.","Ahmed, W. U.","Carter, W.","Guan, Y.","Galvan, Y.","He, X.","Rijnbeek, P.","Hripcsak, G.","Ryan, P.","Suchard, M."],"key":"RN395","id":"RN395","bibbaseid":"prietoalhambra-kostka-duartesalles-pratsuribe-sena-pistillo-khalid-lai-etal-unravelingcovid19alargescalecharacterizationof45millioncovid19casesusingcharybdis-2021","role":"author","urls":{},"metadata":{"authorlinks":{}},"html":""},"bibtype":"article","biburl":"https://bibbase.org/network/files/qwipow2DJsAxqNp83","dataSources":["gYHzosaj6P7Z4gkGW","PJSqX8FMpCPRdw3CQ","qLDnCcKM9omXNrRY8","TB9sD3avjy7bNxfgS","vDmJPYmHEKAT3tMNL","PcZMFHooKwpboi2he","jZMXEeHTfokmisJDv","LKj7QkGgRgaPTmbcp"],"keywords":[],"search_terms":["unraveling","covid","large","scale","characterization","million","covid","cases","using","charybdis","prieto-alhambra","kostka","duarte-salles","prats-uribe","sena","pistillo","khalid","lai","golozar","alshammari","dawoud","nyberg","wilcox","andryc","williams","ostropolets","areia","jung","harle","reich","blacketer","morales","dorr","burn","roel","tan","minty","defalco","de maeztu","lipori","alghoul","zhu","thomas","bian","park","roldán","posada","banda","horcajada","kohler","shah","natarajan","lynch","liu","schilling","recalde","spotnitz","gong","matheny","valveny","weiskopf","shah","alser","casajust","park","schuff","seager","duvall","you","song","fernández-bertolín","fortin","magoc","falconer","subbian","huser","ahmed","carter","guan","galvan","he","rijnbeek","hripcsak","ryan","suchard"],"title":"Unraveling COVID-19: a large-scale characterization of 4.5 million COVID-19 cases using CHARYBDIS","year":2021}