#Globalhealth Twitter Conversations on #Malaria, #HIV, #TB, #NCDS, and #NTDS: a Cross-Sectional Analysis

Annals of Global Health

Volumn 83, Issue 3-4, 2017, Pages 682-690

  Fung, Isaac Chun Hai ^a   Jackson, Ashley M ^a   Ahweyevu, Jennifer O ^a   Grizzle, Jordan H ^a   Yin, Jingjing ^a   Tse, Zion Tsz Ho ^b   Liang, Hai ^c   Sekandi, Juliet N ^d   Fu, King Wa ^e,f  

^a GEORGIA SOUTHERN UNIVERSITY   (United States)

^b University of Georgia   (United States)

^c CHINESE UNIVERSITY OF HONG KONG   (Hong Kong)

^d UNIVERSITY OF GEORGIA   (United States)

^e UNIVERSITY OF HONG KONG   (Hong Kong)

^f MIT MEDIA LAB   (United States)

Author keywords

global health; health communication; Internet; machine learning; manual coding; social media; Twitter

Indexed keywords

ARTICLE; CANADA; CROSS-SECTIONAL STUDY; DISEASE CONTROL; GLOBAL HEALTH; HUMAN; HUMAN IMMUNODEFICIENCY VIRUS INFECTION; MALARIA; MEDICAL INFORMATION; MORTALITY; NEGLECTED DISEASE; NON COMMUNICABLE DISEASE; PREVALENCE; PROPHYLAXIS; SOCIAL MEDIA; TIME; TROPICAL DISEASE; TUBERCULOSIS; UNITED STATES; UNSUPERVISED MACHINE LEARNING; MACHINE LEARNING; TROPICAL MEDICINE;

CROSS-SECTIONAL STUDIES; GLOBAL HEALTH; HEALTH COMMUNICATION; HIV INFECTIONS; HUMANS; MACHINE LEARNING; MALARIA; NEGLECTED DISEASES; NONCOMMUNICABLE DISEASES; SOCIAL MEDIA; TROPICAL MEDICINE; TUBERCULOSIS;

EID: 85033468910     PISSN: None     EISSN: 22149996     Source Type: Journal    
DOI: 10.1016/j.aogh.2017.09.006     Document Type: Article

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