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BibTex format

@article{McCabe:2021:10.1016/j.epidem.2021.100520,
author = {McCabe, R and Kont, MD and Watson, O and Schmit, N and Whittaker, C and Lochen, A and Walker, PGT and Ghani, AC and Ferguson, NM and White, PJ and Donnelly, CA and Watson, OJ},
doi = {10.1016/j.epidem.2021.100520},
journal = {Epidemics: the journal of infectious disease dynamics},
pages = {1--6},
title = {Communicating uncertainty in epidemic models},
url = {http://dx.doi.org/10.1016/j.epidem.2021.100520},
volume = {37},
year = {2021}
}

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TY  - JOUR
AB  - While mathematical models of disease transmission are widely used to inform public health decision-makers globally, the uncertainty inherent in results are often poorly communicated. We outline some potential sources of uncertainty in epidemic models, present traditional methods used to illustrate uncertainty and discuss alternative presentation formats used by modelling groups throughout the COVID-19 pandemic. Then, by drawing on the experience of our own recent modelling, we seek to contribute to the ongoing discussion of how to improve upon traditional methods used to visualise uncertainty by providing a suggestion of how this can be presented in a clear and simple manner.
AU  - McCabe,R
AU  - Kont,MD
AU  - Watson,O
AU  - Schmit,N
AU  - Whittaker,C
AU  - Lochen,A
AU  - Walker,PGT
AU  - Ghani,AC
AU  - Ferguson,NM
AU  - White,PJ
AU  - Donnelly,CA
AU  - Watson,OJ
DO  - 10.1016/j.epidem.2021.100520
EP  - 6
PY  - 2021///
SN  - 1755-4365
SP  - 1
TI  - Communicating uncertainty in epidemic models
T2  - Epidemics: the journal of infectious disease dynamics
UR  - http://dx.doi.org/10.1016/j.epidem.2021.100520
UR  - https://www.sciencedirect.com/science/article/pii/S1755436521000669?via%3Dihub
UR  - http://hdl.handle.net/10044/1/92816
VL  - 37
ER  -

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Dr Oliver (OJ) Watson

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