Forecasting state-level premature deaths from alcohol, drugs, and suicides using Google Trends data

Journal of Affective Disorders

Volumn 213, Issue , 2017, Pages 9-15

  Parker, Jason ^a   Cuthbertson, Courtney ^a   Loveridge, Scott ^a   Skidmore, Mark ^a   Dyar, Will ^a  

^a MICHIGAN STATE UNIVERSITY   (United States)

Author keywords

Behavioral health; Forecasting; Google Trends; Regional analysis; Substance abuse; Suicide

Indexed keywords

ALCOHOL ABUSE; APPLICATION SERVICE PROVIDER; ARTICLE; CAUSE OF DEATH; DATA BASE; DRUG ABUSE; FORECASTING; GOOGLE TRENDS; HAWAII; HUMAN; INCOME; INFORMATION MODEL; L 1 REGULARIZATION MODEL; MORTALITY RATE; ONLINE SYSTEM; PRIORITY JOURNAL; PUBLIC HEALTH SERVICE; SUICIDE; TREND STUDY; UNEMPLOYMENT; UNITED STATES; VITAL STATISTICS; ADULT; ALCOHOLISM; DRUG DEPENDENCE; EPIDEMIOLOGY; FEMALE; MALE; MORTALITY; PREMATURE MORTALITY; SEARCH ENGINE; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA; TRENDS;

ADULT; ALCOHOLISM; CENTERS FOR DISEASE CONTROL AND PREVENTION (U.S.); FEMALE; FORECASTING; HUMANS; MALE; MODELS, STATISTICAL; MORTALITY, PREMATURE; SEARCH ENGINE; SUBSTANCE-RELATED DISORDERS; SUICIDE; UNEMPLOYMENT; UNITED STATES;

EID: 85011333549     PISSN: 01650327     EISSN: 15732517     Source Type: Journal    
DOI: 10.1016/j.jad.2016.10.038     Document Type: Article

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