Information-seeking vs. sharing: Which explains regional health? An analysis of Google Search and Twitter trends

Estimating geographic subjective well-being from Twitter: A comparison of dictionary and data-driven language methods

(2020) Kokil Jaidka et al.   PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA

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

(2015) Thin Nguyen et al.   JOURNAL OF EPIDEMIOLOGY AND COMMUNITY HEALTH

The Use of Google Trends in Health Care Research: A Systematic Review

(2014) Sudhakar V. Nuti et al.   PLoS One

The Parable of Google Flu: Traps in Big Data Analysis

(2014) D. Lazer et al.   SCIENCE

Personality, Gender, and Age in the Language of Social Media: The Open-Vocabulary Approach

(2013) H. Andrew Schwartz et al.   PLoS One

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

(2012) Stephen S Lim et al.   LANCET

Search Query Data to Monitor Interest in Behavior Change: Application for Public Health

(2012) Lucas J. Carr et al.   PLoS One

Using Web Search Query Data to Monitor Dengue Epidemics: A New Model for Neglected Tropical Disease Surveillance

(2011) Emily H. Chan et al.   PLoS Neglected Tropical Diseases

Enjoying hobbies is related to desirable cardiovascular effects

(2010) Keishi Saihara et al.   HEART AND VESSELS

Diabetes in Non-Hispanic White Youth: Prevalence, incidence, and clinical characteristics: the SEARCH for Diabetes in Youth Study

(2009) R. A. Bell et al.   DIABETES CARE

Detecting influenza epidemics using search engine query data

(2008) Jeremy Ginsberg et al.   NATURE