Clinical characterization and prediction of clinical severity of SARS-CoV-2 infection among US adults using data from the US National COVID Cohort Collaborative by Bennett, TD, Moffitt, RA, Hajagos, JG, Amor, B, Anand, A, Bissell, MM, Bradwell, KR, Bremer, C, Byrd, JB, Denham, A, DeWitt, PE, Gabriel, D, Garibaldi, BT, Girvin, AT, Guinney, J, Hill, EL, Hong, SS, Jimenez, H, Kavuluru, R, Kostka, K, Lehmann, HP, Levitt, E, Mallipattu, SK, Manna, A, McMurry, JA, Morris, M, Muschelli, J, Neumann, AJ, Palchuk, MB, Pfaff, ER, Qian, Z, Qureshi, N, Russell, S, Spratt, H, Walden, A, Williams, AE, Wooldridge, JT, Yoo, YJ, Zhang, XT, Zhu, RL, Austin, CP, Saltz, JH, Gersing, KR, Haendel, MA, Chute, CG, Gagnier, J, Hu, S, Lota, K, Maidlow, S, Hanauer, DA

Synergies between centralized and federated approaches to data quality: a report from the national COVID cohort collaborative by Pfaff, ER, Girvin, AT, Gabriel, DL, Kostka, K, Morris, M, Palchuk, MB, Lehmann, HP, Amor, B, Bissell, M, Bradwell, KR, Gold, S, Hong, SS, Loomba, J, Manna, A, McMurry, JA, Niehaus, E, Qureshi, N, Walden, A, Zhang, XT, Zhu, RL, Moffitt, RA, Haendel, MA, Chute, CG, N3C Consortium, Adams, WG, Al-Shukri, S, Anzalone, A, Baghal, A, Bennett, TD, Bernstam, EV, Bernstam, EV, Bissell, MM, Bush, B, Campion, TR, Castro, V, Chang, J, Chaudhari, DD, Chen, W, Chu, S, Cimino, JJ, Crandall, KA, Crooks, M, Davies, SJD, DiPalazzo, J, Dorr, D, Eckrich, D, Eltinge, SE, Fort, DG, Golovko, G, Gupta, S