Design Strategies for Efficient Arbovirus Surveillance

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 hi...

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Detalles Bibliográficos
Autores principales: Scarpino, Samuel V., Meyers, Lauren Ancel, Johansson, Michael A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Centers for Disease Control and Prevention 2017
Materias:
Dispatch
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5367434/
https://www.ncbi.nlm.nih.gov/pubmed/28322711
http://dx.doi.org/10.3201/eid2304.160944
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author Scarpino, Samuel V.
Meyers, Lauren Ancel
Johansson, Michael A.
author_facet Scarpino, Samuel V.
Meyers, Lauren Ancel
Johansson, Michael A.
author_sort Scarpino, Samuel V.
collection PubMed
description 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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spelling pubmed-53674342017-04-07 Design Strategies for Efficient Arbovirus Surveillance Scarpino, Samuel V. Meyers, Lauren Ancel Johansson, Michael A. Emerg Infect Dis Dispatch 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. Centers for Disease Control and Prevention 2017-04 /pmc/articles/PMC5367434/ /pubmed/28322711 http://dx.doi.org/10.3201/eid2304.160944 Text en https://creativecommons.org/licenses/by/4.0/This is a publication of the U.S. Government. This publication is in the public domain and is therefore without copyright. All text from this work may be reprinted freely. Use of these materials should be properly cited.
spellingShingle Dispatch
Scarpino, Samuel V.
Meyers, Lauren Ancel
Johansson, Michael A.
Design Strategies for Efficient Arbovirus Surveillance
title Design Strategies for Efficient Arbovirus Surveillance
title_full Design Strategies for Efficient Arbovirus Surveillance
title_fullStr Design Strategies for Efficient Arbovirus Surveillance
title_full_unstemmed Design Strategies for Efficient Arbovirus Surveillance
title_short Design Strategies for Efficient Arbovirus Surveillance
title_sort design strategies for efficient arbovirus surveillance
topic Dispatch
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5367434/
https://www.ncbi.nlm.nih.gov/pubmed/28322711
http://dx.doi.org/10.3201/eid2304.160944
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