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Surveillance theory applied to virus detection: a case for targeted discovery

Future Virology

By:
, ,
DOI: 10.2217/fvl.13.105

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Abstract

Virus detection and mathematical modeling have gone through rapid developments in the past decade. Both offer new insights into the epidemiology of infectious disease and characterization of future risk; however, modeling has not yet been applied to designing the best surveillance strategies for viral and pathogen discovery. We review recent developments and propose methods to integrate viral and pathogen discovery and mathematical modeling through optimal surveillance theory, arguing for a more targeted approach to novel virus detection guided by the principles of adaptive management and structured decision-making.

Additional Publication Details

Publication type:
Article
Publication Subtype:
Journal Article
Title:
Surveillance theory applied to virus detection: a case for targeted discovery
Series title:
Future Virology
DOI:
10.2217/fvl.13.105
Volume
8
Issue:
12
Year Published:
2013
Language:
English
Publisher:
Future Medicine
Contributing office(s):
Patuxent Wildlife Research Center
Description:
6 p.
Larger Work Type:
Article
Larger Work Subtype:
Journal Article
First page:
1201
Last page:
1206