Unraveling COVID-19: a large-scale characterization of 4.5 million COVID-19 cases using CHARYBDIS.

Prieto-Alhambra D, Kostka K, Duarte-Salles T, Prats-Uribe A, Sena A, Pistillo A, Khalid S, Lai L, Golozar A, Alshammari TM, Dawoud D, Nyberg F, Wilcox A, Andryc A, Williams A, Ostropolets A, Areia C, Jung CY, Harle C, Reich C, Blacketer C, Morales D, Dorr DA, Burn E, Roel E, Tan EH, Minty E, DeFalco F, de Maeztu G, Lipori G, Alghoul H, Zhu H, Thomas J, Bian J, Park J, Roldán JM, Posada J, Banda JM, Horcajada JP, 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 RW, Schuff R, Seager S, DuVall S, You SC, Song S, Fernández-Bertolín S, Fortin S, Magoc T, Falconer T, Subbian V, Huser V, Ahmed WU, Carter W, Guan Y, Galvan Y, He X, Rijnbeek P, Hripcsak G, Ryan P, Suchard M

Open source

DOI: 10.21203/rs.3.rs-279400/v1
Published: 2021 Mar 1
Container: Research square
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.21203/rs.3.rs-279400/v1,
  title = {Unraveling COVID-19: a large-scale characterization of 4.5 million COVID-19 cases using CHARYBDIS.},
  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 TM and Dawoud D and Nyberg F and Wilcox A and Andryc A and Williams A and Ostropolets A and Areia C and Jung CY and Harle C and Reich C and Blacketer C and Morales D and Dorr DA and Burn E and Roel E and Tan EH 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 JM and Posada J and Banda JM and Horcajada JP 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 RW and Schuff R and Seager S and DuVall S and You SC and Song S and Fernández-Bertolín S and Fortin S and Magoc T and Falconer T and Subbian V and Huser V and Ahmed WU and Carter W and Guan Y and Galvan Y and He X and Rijnbeek P and Hripcsak G and Ryan P and Suchard M},
  year = {2021},
  journal = {Research square},
  doi = {10.21203/rs.3.rs-279400/v1},
  url = {https://doi.org/10.21203/rs.3.rs-279400/v1}
}

RIS

TY  - JOUR
TI  - Unraveling COVID-19: a large-scale characterization of 4.5 million COVID-19 cases using CHARYBDIS.
AU  - Prieto-Alhambra D
AU  - Kostka K
AU  - Duarte-Salles T
AU  - Prats-Uribe A
AU  - Sena A
AU  - Pistillo A
AU  - Khalid S
AU  - Lai L
AU  - Golozar A
AU  - Alshammari TM
AU  - Dawoud D
AU  - Nyberg F
AU  - Wilcox A
AU  - Andryc A
AU  - Williams A
AU  - Ostropolets A
AU  - Areia C
AU  - Jung CY
AU  - Harle C
AU  - Reich C
AU  - Blacketer C
AU  - Morales D
AU  - Dorr DA
AU  - Burn E
AU  - Roel E
AU  - Tan EH
AU  - Minty E
AU  - DeFalco F
AU  - de Maeztu G
AU  - Lipori G
AU  - Alghoul H
AU  - Zhu H
AU  - Thomas J
AU  - Bian J
AU  - Park J
AU  - Roldán JM
AU  - Posada J
AU  - Banda JM
AU  - Horcajada JP
AU  - Kohler J
AU  - Shah K
AU  - Natarajan K
AU  - Lynch K
AU  - Liu L
AU  - Schilling L
AU  - Recalde M
AU  - Spotnitz M
AU  - Gong M
AU  - Matheny M
AU  - Valveny N
AU  - Weiskopf N
AU  - Shah N
AU  - Alser O
AU  - Casajust P
AU  - Park RW
AU  - Schuff R
AU  - Seager S
AU  - DuVall S
AU  - You SC
AU  - Song S
AU  - Fernández-Bertolín S
AU  - Fortin S
AU  - Magoc T
AU  - Falconer T
AU  - Subbian V
AU  - Huser V
AU  - Ahmed WU
AU  - Carter W
AU  - Guan Y
AU  - Galvan Y
AU  - He X
AU  - Rijnbeek P
AU  - Hripcsak G
AU  - Ryan P
AU  - Suchard M
PY  - 2021
JO  - Research square
DO  - 10.21203/rs.3.rs-279400/v1
UR  - https://doi.org/10.21203/rs.3.rs-279400/v1
ER  -

APA

D, P., K, K., T, D., A, P., A, S., A, P., S, K., L, L., A, G., TM, A., D, D., F, N., A, W., A, A., A, W., A, O., C, A., CY, J., C, H., C, R., C, B., D, M., DA, D., E, B., E, R., EH, T., E, M., F, D., G, D. M., G, L., H, A., H, Z., J, T., J, B., J, P., JM, R., J, P., JM, B., JP, H., J, K., K, S., K, N., K, L., L, L., L, S., M, R., M, S., M, G., M, M., N, V., N, W., N, S., O, A., P, C., RW, P., R, S., S, S., S, D., SC, Y., S, S., S, F., S, F., T, M., T, F., V, S., V, H., WU, A., W, C., Y, G., Y, G., X, H., P, R., G, H., P, R., & M, S. (2021). Unraveling COVID-19: a large-scale characterization of 4.5 million COVID-19 cases using CHARYBDIS.. Research square. https://doi.org/10.21203/rs.3.rs-279400/v1

Source records

pubmed · retrieved 2026-09-27T01:33:12.797Z