Monitoring epidemic alert levels by analyzing internet search volume

IEEE Transactions on Biomedical Engineering

Volumn 60, Issue 2, 2013, Pages 446-452

  Zhou, Xichuan ^a   Li, Qin ^b   Zhu, Zhenglin ^a   Zhao, Han ^b   Tang, Hao ^a   Feng, Yujie ^c  

^a CHONGQING UNIVERSITY   (China)

^b Chongqing Shapingba Center for Disease Control and Prevention   (China)

^c SOUTHWEST HOSPITAL   (China)

Author keywords

Hidden Markov model (HMM); infectious disease; outbreak surveillance; search engine

Indexed keywords

CENTERS FOR DISEASE CONTROL AND PREVENTIONS; CLINICAL DATA; DISEASE TRANSMISSION; GLOBAL HEALTH; INFECTIOUS DISEASE; INTERNET SEARCHES; INTRINSIC CHARACTERISTICS; NOISE LEVELS; REAL-TIME SURVEILLANCE; REGIONAL EPIDEMICS; SEARCH VOLUME; SURVEILLANCE SYSTEMS; SYNDROMIC SURVEILLANCE SYSTEMS;

DEVELOPING COUNTRIES; DISEASES; HIDDEN MARKOV MODELS; MONITORING; NETWORK SECURITY; SEARCH ENGINES; SECURITY SYSTEMS;

EPIDEMIOLOGY;

ARTICLE; DATA ANALYSIS; DISEASE SURVEILLANCE; EPIDEMIC; HEPATITIS; HEPATITIS A; HEPATITIS B; INFECTION; INFLUENZA A (H1N1); INTERNET; MORBIDITY; PUBLIC HEALTH SERVICE; UNITED STATES;

CENTERS FOR DISEASE CONTROL AND PREVENTION (U.S.); EPIDEMICS; HEPATITIS; HUMANS; INTERNET; MARKOV CHAINS; MODELS, THEORETICAL; PUBLIC HEALTH SURVEILLANCE; SEARCH ENGINE; TERMINOLOGY AS TOPIC; UNITED STATES;

EID: 84872591090     PISSN: 00189294     EISSN: 15582531     Source Type: Journal    
DOI: 10.1109/TBME.2012.2228264     Document Type: Article

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