Imperial College London

DrSethFlaxman

Faculty of Natural SciencesDepartment of Mathematics

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s.flaxman

 
 
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Location

 

522Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Mishra:2022:10.1111/rssa.12988,
author = {Mishra, S and Scott, JA and Laydon, DJ and Zhu, H and Ferguson, NM and Bhatt, S and Flaxman, S and Gandy, A},
doi = {10.1111/rssa.12988},
journal = {JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY},
pages = {S86--S95},
title = {A COVID-19 model for local authorities of the United Kingdom},
url = {http://dx.doi.org/10.1111/rssa.12988},
volume = {185},
year = {2022}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AU - Mishra,S
AU - Scott,JA
AU - Laydon,DJ
AU - Zhu,H
AU - Ferguson,NM
AU - Bhatt,S
AU - Flaxman,S
AU - Gandy,A
DO - 10.1111/rssa.12988
EP - 95
PY - 2022///
SN - 0964-1998
SP - 86
TI - A COVID-19 model for local authorities of the United Kingdom
T2 - JOURNAL OF THE ROYAL STATISTICAL SOCIETY SERIES A-STATISTICS IN SOCIETY
UR - http://dx.doi.org/10.1111/rssa.12988
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000897843000001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
VL - 185
ER -