Open AccessDesign Strategies for Efficient Arbovirus Surveillance
Author(s) -
Samuel V. Scarpino,
Lauren Ancel Meyers,
Michael A. Johansson
Publication year - 2017
Publication title -
emerging infectious diseases
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.54
H-Index - 226
eISSN - 1080-6059
pISSN - 1080-6040
DOI - 10.3201/eid2304.160944
Subject(s) - arbovirus , virology , arbovirus infections , biology , data science , computational biology , computer science , virus
As public health agencies struggle to track and contain emerging arbovirus threats, timely and efficient surveillance is more critical than ever. Using historical dengue data from Puerto Rico, we developed methods for streamlining and designing novel arbovirus surveillance systems with or without historical disease data.
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