Four key challenges in infectious disease modelling using data from multiple sources.

Abstract:

:Public health-related decision-making on policies aimed at controlling epidemics is increasingly evidence-based, exploiting multiple sources of data. Policy makers rely on complex models that are required to be robust, realistically approximating epidemics and consistent with all relevant data. Meeting these requirements in a statistically rigorous and defendable manner poses a number of challenging problems. How to weight evidence from different datasets and handle dependence between them, efficiently estimate and critically assess complex models are key challenges that we expound in this paper, using examples from influenza modelling.

journal_name

Epidemics

journal_title

Epidemics

authors

De Angelis D,Presanis AM,Birrell PJ,Tomba GS,House T

doi

10.1016/j.epidem.2014.09.004

subject

Has Abstract

pub_date

2015-03-01 00:00:00

pages

83-7

eissn

1755-4365

issn

1878-0067

pii

S1755-4365(14)00053-X

journal_volume

10

pub_type

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