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Advances in using Internet searches to track dengue

Dengue is a mosquito-borne disease that threatens over half of the world’s population. Despite being endemic to more than 100 countries, government-led efforts and tools for timely identification and tracking of new infections are still lacking in many affected areas. Multiple methodologies that lev...

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Autores principales: Yang, Shihao, Kou, Samuel C., Lu, Fred, Brownstein, John S., Brooke, Nicholas, Santillana, Mauricio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5519005/
https://www.ncbi.nlm.nih.gov/pubmed/28727821
http://dx.doi.org/10.1371/journal.pcbi.1005607
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author Yang, Shihao
Kou, Samuel C.
Lu, Fred
Brownstein, John S.
Brooke, Nicholas
Santillana, Mauricio
author_facet Yang, Shihao
Kou, Samuel C.
Lu, Fred
Brownstein, John S.
Brooke, Nicholas
Santillana, Mauricio
author_sort Yang, Shihao
collection PubMed
description Dengue is a mosquito-borne disease that threatens over half of the world’s population. Despite being endemic to more than 100 countries, government-led efforts and tools for timely identification and tracking of new infections are still lacking in many affected areas. Multiple methodologies that leverage the use of Internet-based data sources have been proposed as a way to complement dengue surveillance efforts. Among these, dengue-related Google search trends have been shown to correlate with dengue activity. We extend a methodological framework, initially proposed and validated for flu surveillance, to produce near real-time estimates of dengue cases in five countries/states: Mexico, Brazil, Thailand, Singapore and Taiwan. Our result shows that our modeling framework can be used to improve the tracking of dengue activity in multiple locations around the world.
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spelling pubmed-55190052017-08-07 Advances in using Internet searches to track dengue Yang, Shihao Kou, Samuel C. Lu, Fred Brownstein, John S. Brooke, Nicholas Santillana, Mauricio PLoS Comput Biol Research Article Dengue is a mosquito-borne disease that threatens over half of the world’s population. Despite being endemic to more than 100 countries, government-led efforts and tools for timely identification and tracking of new infections are still lacking in many affected areas. Multiple methodologies that leverage the use of Internet-based data sources have been proposed as a way to complement dengue surveillance efforts. Among these, dengue-related Google search trends have been shown to correlate with dengue activity. We extend a methodological framework, initially proposed and validated for flu surveillance, to produce near real-time estimates of dengue cases in five countries/states: Mexico, Brazil, Thailand, Singapore and Taiwan. Our result shows that our modeling framework can be used to improve the tracking of dengue activity in multiple locations around the world. Public Library of Science 2017-07-20 /pmc/articles/PMC5519005/ /pubmed/28727821 http://dx.doi.org/10.1371/journal.pcbi.1005607 Text en © 2017 Yang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Yang, Shihao
Kou, Samuel C.
Lu, Fred
Brownstein, John S.
Brooke, Nicholas
Santillana, Mauricio
Advances in using Internet searches to track dengue
title Advances in using Internet searches to track dengue
title_full Advances in using Internet searches to track dengue
title_fullStr Advances in using Internet searches to track dengue
title_full_unstemmed Advances in using Internet searches to track dengue
title_short Advances in using Internet searches to track dengue
title_sort advances in using internet searches to track dengue
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5519005/
https://www.ncbi.nlm.nih.gov/pubmed/28727821
http://dx.doi.org/10.1371/journal.pcbi.1005607
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