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Real-time decision-making during emergency disease outbreaks

Abstract:

In the event of a new infectious disease outbreak, mathematical and simulation models are commonly used to inform policy by evaluating which control strategies will minimize the impact of the epidemic. In the early stages of such outbreaks, substantial parameter uncertainty may limit the ability of models to provide accurate predictions, and policymakers do not have the luxury of waiting for data to alleviate this state of uncertainty. For policymakers, however, it is the selection of the opt...

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Publication status:
Published
Peer review status:
Peer reviewed
Version:
Publisher's Version

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Publisher copy:
10.1371/journal.pcbi.1006202

Authors


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Institution:
University of Oxford
Division:
Medical Sciences
Department:
NDM; BDI
ORCID:
0000-0002-3437-759X
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ORCID:
0000-0002-7902-2178
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ORCID:
0000-0002-2252-9357
Fonnesbeck, CJ More by this author
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National Science Foundation More from this funder
Publisher:
Public Library of Science Publisher's website
Journal:
PLoS Computational Biology Journal website
Volume:
14
Issue:
7
Publication date:
2018-07-24
Acceptance date:
2018-05-15
DOI:
EISSN:
1553-7358
ISSN:
1553-734X
Pubs id:
pubs:891578
URN:
uri:96157318-e8a5-4da3-a1e1-f781d63ed00e
UUID:
uuid:96157318-e8a5-4da3-a1e1-f781d63ed00e
Local pid:
pubs:891578
Language:
English
Keywords:

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