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    COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records by 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

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