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
Epidemicsjournal_title
Epidemicsauthors
De Angelis D,Presanis AM,Birrell PJ,Tomba GS,House Tdoi
10.1016/j.epidem.2014.09.004subject
Has Abstractpub_date
2015-03-01 00:00:00pages
83-7eissn
1755-4365issn
1878-0067pii
S1755-4365(14)00053-Xjournal_volume
10pub_type
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