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Identifying Protective Health Behaviors on Twitter: Observational Study of Travel Advisories and Zika Virus

Identifying Protective Health Behaviors on Twitter: Observational Study of Travel Advisories and Zika Virus

Paul and Dredze similarly note that individuals often report medications used for symptom relief [4].As the largest known Zika outbreak occurred recently, researchers are only now beginning to investigate the use of internet data to understand this particular

Ashlynn R Daughton, Michael J Paul

J Med Internet Res 2019;21(5):e13090

Social Media as a Sensor of Air Quality and Public Response in China

Social Media as a Sensor of Air Quality and Public Response in China

Additionally, our entire dataset contains only 93 million messages, a much smaller dataset than those typically used in Twitter research today; for example, Paul and Dredze [3] used a general collection of 2 billion messages to study health topics on Twitter

Shiliang Wang, Michael J Paul, Mark Dredze

J Med Internet Res 2015;17(3):e22

Comparison of Social Media, Syndromic Surveillance, and Microbiologic Acute Respiratory Infection Data: Observational Study

Comparison of Social Media, Syndromic Surveillance, and Microbiologic Acute Respiratory Infection Data: Observational Study

antihistaminesFor use in the analyses described in the following section, we extracted topics from all tweets using latent Dirichlet allocation (LDA) [29] and a Gibbs sampling implementation with automatic hyperparameter optimization described in the study by Paul

Ashlynn R Daughton, Rumi Chunara, Michael J Paul

JMIR Public Health Surveill 2020;6(2):e14986