What Motivates High School Students to Take Precautions Against the Spread of Influenza? Latent Modeling of Compliance with Preventative Practice: A Data Science Approach

TitleWhat Motivates High School Students to Take Precautions Against the Spread of Influenza? Latent Modeling of Compliance with Preventative Practice: A Data Science Approach
Publication TypeConference Paper
Year of Publication2016
AuthorsWilliam Romine, Tanvi Banerjee, William Folk, Lloyd Barrow
Conference NameInternational Conference on Health Informatics and Medical Systems (HIMS)
Date Published07/2016
Conference LocationLas Vegas, Nevada
Keywordsdata science, decision support system, Health behavior, health belief model, health informatics, hygeine, influenza, multilevel logistic regression, quantitative analysis, vaccination
Abstract

This study focuses on a central question: What key behavioral factors influence high school students’ compliance with preventative measures against the transmission of influenza? We use multi-level logistic regression to equate logit measures for eight precautions to students’ latent compliance levels on a common scale. Using linear regression, we explore the efficacy of knowledge of influenza, affective perceptions about influenza and its prevention, prior illness, and gender in predicting compliance. Hand washing and respiratory etiquette are the easiest precautions for students, and hand sanitizer use and keeping the hands away from the face are the most difficult. Perceptions of barriers against taking precautions and sense of social responsibility had the greatest influence on compliance.

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Citation:
W. L. Romine, T. Banerjee, W. R. Folk, L. H. Barrow, “What Motivates High School Students to Take Precautions Against the Spread of Influenza? Latent Modeling of Compliance with Preventative Practice: A Data Science Approach.” International Conference on Health Informatics and Medical Systems (HIMS), Las Vegas, Nevada, July 25-28, 2016.

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