Communicating uncertainty in epidemic models.
Epidemics
; 37: 100520, 2021 12.
Article
in English
| MEDLINE | ID: covidwho-1568688
ABSTRACT
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.
Keywords
Full text:
Available
Collection:
International databases
Database:
MEDLINE
Main subject:
COVID-19
Type of study:
Experimental Studies
/
Randomized controlled trials
Limits:
Humans
Language:
English
Journal:
Epidemics
Year:
2021
Document Type:
Article
Similar
MEDLINE
...
LILACS
LIS