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1 Ergebnisse
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Profiling post-COVID-19 condition across different variants..:
Canas, Liane S
;
Molteni, Erika
;
Deng, Jie
...
The Lancet Digital Health. 5 (2023) 7 - p. e421-e434 , 2023
Link:
https://doi.org/10.1016/s2589-7500(23)00056-0
RT Journal T1
Profiling post-COVID-19 condition across different variants of SARS-CoV-2: a prospective longitudinal study in unvaccinated wild-type, unvaccinated alpha-variant, and vaccinated delta-variant populations
UL https://suche.suub.uni-bremen.de/peid=cr-10.1016_s2589-7500(23)00056-0&Exemplar=1&LAN=DE A1 Canas, Liane S A1 Molteni, Erika A1 Deng, Jie A1 Sudre, Carole H A1 Murray, Benjamin A1 Kerfoot, Eric A1 Antonelli, Michela A1 Rjoob, Khaled A1 Capdevila Pujol, Joan A1 Polidori, Lorenzo A1 May, Anna A1 Österdahl, Marc F A1 Whiston, Ronan A1 Cheetham, Nathan J A1 Bowyer, Vicky A1 Spector, Tim D A1 Hammers, Alexander A1 Duncan, Emma L A1 Ourselin, Sebastien A1 Steves, Claire J A1 Modat, Marc PB Elsevier BV YR 2023 SN 2589-7500 JF The Lancet Digital Health VO 5 IS 7 SP e421 OP e434 LK http://dx.doi.org/https://doi.org/10.1016/s2589-7500(23)00056-0 DO https://doi.org/10.1016/s2589-7500(23)00056-0 SF ELIB - SuUB Bremen
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