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A population data-driven approach to identifying 'Long COVI..:
Enns, Jennifer
;
Katz, Alan
;
Yogendran, Marina
...
International Journal of Population Data Science. 7 (2022) 3 - p. , 2022
Link:
https://doi.org/10.23889/ijpds.v7i3.1924
RT Journal T1 <Title>A population data-driven approach to identifying 'Long COVID' cases in support of diagnosis and treatment</Title> UL https://suche.suub.uni-bremen.de/peid=cr-10.23889_ijpds.v7i3.1924&Exemplar=1&LAN=DE A1 Enns, Jennifer A1 Katz, Alan A1 Yogendran, Marina A1 Urquia, Marcelo A1 Muthukumarana, Saman A1 Matharaarachchi, Surani A1 Singer, Alexander A1 Nickel, Nathan A1 Star, Leona A1 Cavett, Teresa A1 Keynan, Yoav A1 Lix, Lisa A1 Sanchez-Ramirez, Diana PB Swansea University YR 2022 SN 2399-4908 JF International Journal of Population Data Science VO 7 IS 3 LK http://dx.doi.org/https://doi.org/10.23889/ijpds.v7i3.1924 DO https://doi.org/10.23889/ijpds.v7i3.1924 SF ELIB - SuUB Bremen
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