Imperial College London

DrSimoneCenci

Business School

Advanced Research Fellow - Data Scientist
 
 
 
//

Contact

 

s.cenci Website CV

 
 
//

Location

 

Business School BuildingSouth Kensington Campus

//

Summary

 

Publications

Citation

BibTex format

@article{Krishnan:2022:10.1016/j.annepidem.2021.07.008,
author = {Krishnan, RG and Cenci, S and Bourouiba, L},
doi = {10.1016/j.annepidem.2021.07.008},
journal = {ANNALS OF EPIDEMIOLOGY},
pages = {1--14},
title = {Mitigating bias in estimating epidemic severity due to heterogeneity of epidemic onset and data aggregation},
url = {http://dx.doi.org/10.1016/j.annepidem.2021.07.008},
volume = {65},
year = {2022}
}

RIS format (EndNote, RefMan)

TY  - JOUR
AU - Krishnan,RG
AU - Cenci,S
AU - Bourouiba,L
DO - 10.1016/j.annepidem.2021.07.008
EP - 14
PY - 2022///
SN - 1047-2797
SP - 1
TI - Mitigating bias in estimating epidemic severity due to heterogeneity of epidemic onset and data aggregation
T2 - ANNALS OF EPIDEMIOLOGY
UR - http://dx.doi.org/10.1016/j.annepidem.2021.07.008
UR - https://www.webofscience.com/api/gateway?GWVersion=2&SrcApp=PARTNER_APP&SrcAuth=LinksAMR&KeyUT=WOS:000726988400001&DestLinkType=FullRecord&DestApp=ALL_WOS&UsrCustomerID=a2bf6146997ec60c407a63945d4e92bb
VL - 65
ER -