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    COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records von Thygesen, Johan H, Mizani, Mehrdad A, Banerjee, Amitava, Cooper, Jennifer, Lai, Alvina G, Sudlow, Cathie, Abbasizanjani, Hoda, Ahmed, Nida, Akbari, Ashley, Allery, Freya, Ashworth, Mark, Bacon, Seb, Ball, Steve, Banerjee, Ami, Berry, Colin, Beveridge, Jennifer, Boyle, Jon, Briffa, Norman, Buch, Maya, Canoy, Dexter, Cheema, Kate, Crallan, Rebecca, Curcin, Vasa, Curry, Gwenetta, Denholm, Rachel, Dennis, John, Denniston, Alastair, Deo, Salil, Dhillon, Baljean, Dong, Tim, Downs, Johnny, Dregan, Alexandru, Elwenspoek, Martha, Falter, Florian, Firth, Joseph, Friebel, Rocco, Gilbert, Ruth, Goldacre, Ben, Goldacre, Raph, Grieco, Luca, Handy, Alex, Hardelid, Pia, Hardy, Flavien, Hemingway, Harry, Herz, Naomi, Heyl, Johannes, Hinchliffe, Rosie, Hippisley-Cox, Julia, Hocaoglu, Mevhibe, Hollings, Sam, Inouye, Mike, Jenkins, David, Kadam, Umesh, Kallis, Costas, Khawaja, Anthony, Killick, Richard, Kinnear, Deborah, Kolamunnage-Dona, Ruwanthi, Kurdi, Amanj, Lai, Alvina, Lambarth, Andrew, Larzjan, Milad Nazarzadeh, Li, Qiuju, Lyons, Ronan, Macleod, Mary Joan, Mamouei, Mohammad, Melville, Craig, Moncusi, Marta Pineda, Morales, Daniel, Morris, Carole, Nicholson, George, Norris, Tom, Oliver, Dominic, Oluyase, Adejoke, Pierotti, Livia, Priedon, Rouven, Proudfoot, Alastair, Roberts, Brian, Rossdale, Jennifer, Samani, Nilesh, Sattar, Naveed, Schwartz, Roy, Seminog, Olena, Sinha, Shubhra, Skrypak, Mirek, Sofat, Reecha, Sun, Luanluan, Suseeladevi, Arun Karthikeyan, Tilston, George, Toit, Clea du, Torabi, Fatemeh, Watkinson, Ruth, Whiteley, William, Williams, Michelle, Williams, Richard, Withnell, Eloise, Wright, Lucy, Wu, Jinge, Wu, Jianhua, Zaccardi, Francesco

    Veröffentlicht in The Lancet. Digital health

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