Web search activity data accurately predict population chronic disease risk in the USA. - Wikidata - wikimedia - TriplyDB

Web search activity data accurately predict population chronic disease risk in the USA.

Web search activity data accurately predict population chronic disease risk in the USA.

http://www.wikidata.org/entity/Q30915398

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The Detection of Emerging Trends Using Wikipedia Traffic Data and Context Networks Editorial utility of population-based birth defects surveillance for monitoring the health of infants and as a foundation for etiologic research.Tracking Hookah Bars in New York: Utilizing Yelp as a Powerful Public Health Tool.Whiplash Syndrome Reloaded: Digital Echoes of Whiplash Syndrome in the European Internet Search Engine Context.Application of seasonal auto-regressive integrated moving average model in forecasting the incidence of hand-foot-mouth disease in Wuhan, China.Understanding a successful obesity prevention initiative in children under 5 from a systems perspective.Can Twitter be used to predict county excessive alcohol consumption rates?

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P2860

Web search activity data accurately predict population chronic disease risk in the USA.

http://www.wikidata.org/entity/Q30915398

description

2015 nî lūn-bûn

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2015年の論文

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name

Web search activity data accurately predict population chronic disease risk in the USA.

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Web search activity data accurately predict population chronic disease risk in the USA.

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type

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Web search activity data accurately predict population chronic disease risk in the USA.

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Web search activity data accurately predict population chronic disease risk in the USA.

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prefLabel

Web search activity data accurately predict population chronic disease risk in the USA.

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Web search activity data accurately predict population chronic disease risk in the USA.

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JECH-2014-204523

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Journal of Epidemiology and Community Health

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Web search activity data accurately predict population chronic disease risk in the USA.

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Dinh Phung

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Lynne Millar

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Melanie Nichols

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Steve Allender

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Sunil Gupta

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Truyen Tran

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P2860

Assessing Google flu trends performance in the United States during the 2009 influenza virus A (H1N1) pandemic

Wikipedia usage estimates prevalence of influenza-like illness in the United States in near real-time

The public health and economic benefits of taxing sugar-sweetened beverages

Detecting influenza epidemics using search engine query data

A comparative risk assessment of burden of disease and injury attributable to 67 risk factors and risk factor clusters in 21 regions, 1990-2010: a systematic analysis for the Global Burden of Disease Study 2010.

Using internet searches for influenza surveillance

Search query data to monitor interest in behavior change: application for public health

Digital Disease Detection — Harnessing the Web for Public Health Surveillance

Regularization Paths for Generalized Linear Models via Coordinate Descent

Using Google Trends for influenza surveillance in South China

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7

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69

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Svetha Venkatesh

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2015-03-24T00:00:00Z

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274089389

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25805603

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