Using Google Trends for influenza surveillance in South China
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Global disease monitoring and forecasting with WikipediaThe use of google trends in health care research: a systematic reviewReassessing Google Flu Trends Data for Detection of Seasonal and Pandemic Influenza: A Comparative Epidemiological Study at Three Geographic ScalesPredicting Virtual World User Population Fluctuations with Deep LearningSupplementing Public Health Inspection via Social MediaAge-related differences in the accuracy of web query-based predictions of influenza-like illnessNowcasting and forecasting the monthly food stamps data in the US using online search dataMeasuring Global Disease with Wikipedia: Success, Failure, and a Research AgendaPerformance of eHealth data sources in local influenza surveillance: a 5-year open cohort study.Correlation between national influenza surveillance data and google trends in South Korea.Cumulative query method for influenza surveillance using search engine dataWeb search activity data accurately predict population chronic disease risk in the USA.Early detection of an epidemic erythromelalgia outbreak using Baidu search data.Estimating Influenza Outbreaks Using Both Search Engine Query Data and Social Media Data in South Korea.Dengue Baidu Search Index data can improve the prediction of local dengue epidemic: A case study in Guangzhou, China.Forecasting influenza in Hong Kong with Google search queries and statistical model fusion.Infodemiology and infoveillance of multiple sclerosis in ItalyImproving Google Flu Trends estimates for the United States through transformation.Using Web-Based Search Data to Study the Public's Reactions to Societal Events: The Case of the Sandy Hook ShootingMonitoring seasonal influenza epidemics by using internet search data with an ensemble penalized regression model.When Bitcoin encounters information in an online forum: Using text mining to analyse user opinions and predict value fluctuation.Internet search patterns of human immunodeficiency virus and the digital divide in the Russian Federation: infoveillance study.Whiplash Syndrome Reloaded: Digital Echoes of Whiplash Syndrome in the European Internet Search Engine Context.Identifying Potential Norovirus Epidemics in China via Internet Surveillance.Epidemiological Features and Forecast Model Analysis for the Morbidity of Influenza in Ningbo, China, 2006-2014Using Search Engines to Investigate Shared Migraine Experiences.Syndromic surveillance for influenza in Tianjin, China: 2013-14.Searching for Cedar: Geographic Variation in Single Aeroallergen Shows Dose Response in Internet Search Activity.Effect of environmental factors on Internet searches related to sinusitis.Correlating regional aeroallergen effects on internet search activity.Developing a dengue forecast model using machine learning: A case study in China.Vesicular stomatitis forecasting based on Google Trends.Google unveils a glimpse of allergic rhinitis in the real world.Integrating Smart Health in the US Health Care System: Infodemiology Study of Asthma Monitoring in the Google Era.Monitoring Interest in Herpes Zoster Vaccination: Analysis of Google Search Data.A machine learning method to monitor China's AIDS epidemics with data from Baidu trendsUsing Baidu index to nowcast hand-foot-mouth disease in China: a meta learning approachGoogle Search Trends Predicting Disease Outbreaks: An Analysis from India
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P2860
Using Google Trends for influenza surveillance in South China
description
2013 nî lūn-bûn
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2013 թուականի Յունուարին հրատարակուած գիտական յօդուած
@hyw
2013 թվականի հունվարին հրատարակված գիտական հոդված
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2013年の論文
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2013年学术文章
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2013年学术文章
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2013年学术文章
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2013年学术文章
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2013年学术文章
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2013年學術文章
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name
Using Google Trends for influenza surveillance in South China
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Using Google Trends for influenza surveillance in South China
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type
label
Using Google Trends for influenza surveillance in South China
@ast
Using Google Trends for influenza surveillance in South China
@en
prefLabel
Using Google Trends for influenza surveillance in South China
@ast
Using Google Trends for influenza surveillance in South China
@en
P2093
P2860
P1433
P1476
Using Google Trends for influenza surveillance in South China
@en
P2093
Haojie Zhong
Jianfeng He
P2860
P304
P356
10.1371/JOURNAL.PONE.0055205
P407
P577
2013-01-25T00:00:00Z