Using web search query data to monitor dengue epidemics: a new model for neglected tropical disease surveillance.

<h4>Background</h4>A variety of obstacles including bureaucracy and lack of resources have interfered with timely detection and reporting of dengue cases in many endemic countries. Surveillance efforts have turned to modern data sources, such as Internet search queries, which have been s...

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Autores principales:	Emily H Chan, Vikram Sahai, Corrie Conrad, John S Brownstein
Formato:	article
Lenguaje:	EN
Publicado:	Public Library of Science (PLoS) 2011
Materias:	Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270
Acceso en línea:	https://doaj.org/article/74bc6afa9f864d98a92c65ce92718f9f
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spelling	oai:doaj.org-article:74bc6afa9f864d98a92c65ce92718f9f2021-11-18T09:13:21ZUsing web search query data to monitor dengue epidemics: a new model for neglected tropical disease surveillance.1935-27271935-273510.1371/journal.pntd.0001206https://doaj.org/article/74bc6afa9f864d98a92c65ce92718f9f2011-05-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/21647308/?tool=EBIhttps://doaj.org/toc/1935-2727https://doaj.org/toc/1935-2735<h4>Background</h4>A variety of obstacles including bureaucracy and lack of resources have interfered with timely detection and reporting of dengue cases in many endemic countries. Surveillance efforts have turned to modern data sources, such as Internet search queries, which have been shown to be effective for monitoring influenza-like illnesses. However, few have evaluated the utility of web search query data for other diseases, especially those of high morbidity and mortality or where a vaccine may not exist. In this study, we aimed to assess whether web search queries are a viable data source for the early detection and monitoring of dengue epidemics.<h4>Methodology/principal findings</h4>Bolivia, Brazil, India, Indonesia and Singapore were chosen for analysis based on available data and adequate search volume. For each country, a univariate linear model was then built by fitting a time series of the fraction of Google search query volume for specific dengue-related queries from that country against a time series of official dengue case counts for a time-frame within 2003-2010. The specific combination of queries used was chosen to maximize model fit. Spurious spikes in the data were also removed prior to model fitting. The final models, fit using a training subset of the data, were cross-validated against both the overall dataset and a holdout subset of the data. All models were found to fit the data quite well, with validation correlations ranging from 0.82 to 0.99.<h4>Conclusions/significance</h4>Web search query data were found to be capable of tracking dengue activity in Bolivia, Brazil, India, Indonesia and Singapore. Whereas traditional dengue data from official sources are often not available until after some substantial delay, web search query data are available in near real-time. These data represent valuable complement to assist with traditional dengue surveillance.Emily H ChanVikram SahaiCorrie ConradJohn S BrownsteinPublic Library of Science (PLoS)articleArctic medicine. Tropical medicineRC955-962Public aspects of medicineRA1-1270ENPLoS Neglected Tropical Diseases, Vol 5, Iss 5, p e1206 (2011)
institution	DOAJ
collection	DOAJ
language	EN
topic	Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270
spellingShingle	Arctic medicine. Tropical medicine RC955-962 Public aspects of medicine RA1-1270 Emily H Chan Vikram Sahai Corrie Conrad John S Brownstein Using web search query data to monitor dengue epidemics: a new model for neglected tropical disease surveillance.
description	<h4>Background</h4>A variety of obstacles including bureaucracy and lack of resources have interfered with timely detection and reporting of dengue cases in many endemic countries. Surveillance efforts have turned to modern data sources, such as Internet search queries, which have been shown to be effective for monitoring influenza-like illnesses. However, few have evaluated the utility of web search query data for other diseases, especially those of high morbidity and mortality or where a vaccine may not exist. In this study, we aimed to assess whether web search queries are a viable data source for the early detection and monitoring of dengue epidemics.<h4>Methodology/principal findings</h4>Bolivia, Brazil, India, Indonesia and Singapore were chosen for analysis based on available data and adequate search volume. For each country, a univariate linear model was then built by fitting a time series of the fraction of Google search query volume for specific dengue-related queries from that country against a time series of official dengue case counts for a time-frame within 2003-2010. The specific combination of queries used was chosen to maximize model fit. Spurious spikes in the data were also removed prior to model fitting. The final models, fit using a training subset of the data, were cross-validated against both the overall dataset and a holdout subset of the data. All models were found to fit the data quite well, with validation correlations ranging from 0.82 to 0.99.<h4>Conclusions/significance</h4>Web search query data were found to be capable of tracking dengue activity in Bolivia, Brazil, India, Indonesia and Singapore. Whereas traditional dengue data from official sources are often not available until after some substantial delay, web search query data are available in near real-time. These data represent valuable complement to assist with traditional dengue surveillance.
format	article
author	Emily H Chan Vikram Sahai Corrie Conrad John S Brownstein
author_facet	Emily H Chan Vikram Sahai Corrie Conrad John S Brownstein
author_sort	Emily H Chan
title	Using web search query data to monitor dengue epidemics: a new model for neglected tropical disease surveillance.
title_short	Using web search query data to monitor dengue epidemics: a new model for neglected tropical disease surveillance.
title_full	Using web search query data to monitor dengue epidemics: a new model for neglected tropical disease surveillance.
title_fullStr	Using web search query data to monitor dengue epidemics: a new model for neglected tropical disease surveillance.
title_full_unstemmed	Using web search query data to monitor dengue epidemics: a new model for neglected tropical disease surveillance.
title_sort	using web search query data to monitor dengue epidemics: a new model for neglected tropical disease surveillance.
publisher	Public Library of Science (PLoS)
publishDate	2011
url	https://doaj.org/article/74bc6afa9f864d98a92c65ce92718f9f
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Using web search query data to monitor dengue epidemics: a new model for neglected tropical disease surveillance.

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