Citation

BibTex format

@article{Thygesen:2022:10.1016/S2589-7500(22)00091-7,
author = {Thygesen, JH and Tomlinson, C and Hollings, S and Mizani, MA and Handy, A and Akbari, A and Banerjee, A and Cooper, J and Lai, AG and Li, K and Mateen, BA and Sattar, N and Sofat, R and Torralbo, A and Wu, H and Wood, A and Sterne, JAC and Pagel, C and Whiteley, WN and Sudlow, C and Hemingway, H and Denaxas, S},
doi = {10.1016/S2589-7500(22)00091-7},
journal = {LANCET DIGITAL HEALTH},
pages = {E542--E557},
title = {COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records},
url = {http://dx.doi.org/10.1016/S2589-7500(22)00091-7},
volume = {4},
year = {2022}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AU - Thygesen,JH
AU - Tomlinson,C
AU - Hollings,S
AU - Mizani,MA
AU - Handy,A
AU - Akbari,A
AU - Banerjee,A
AU - Cooper,J
AU - Lai,AG
AU - Li,K
AU - Mateen,BA
AU - Sattar,N
AU - Sofat,R
AU - Torralbo,A
AU - Wu,H
AU - Wood,A
AU - Sterne,JAC
AU - Pagel,C
AU - Whiteley,WN
AU - Sudlow,C
AU - Hemingway,H
AU - Denaxas,S
DO - 10.1016/S2589-7500(22)00091-7
EP - 557
PY - 2022///
SP - 542
TI - COVID-19 trajectories among 57 million adults in England: a cohort study using electronic health records
T2 - LANCET DIGITAL HEALTH
UR - http://dx.doi.org/10.1016/S2589-7500(22)00091-7
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000836453500009&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
VL - 4
ER -