Using data-driven agent-based models for forecasting emerging infectious diseases

Epidemics

Volumn 22, Issue , 2018, Pages 43-49

  Venkatramanan, Srinivasan ^a   Lewis, Bryan ^a   Chen, Jiangzhuo ^a   Higdon, Dave ^a,b   Vullikanti, Anil ^a,b   Marathe, Madhav ^a,b  

^a VIRGINIA BIOINFORMATICS INSTITUTE   (United States)

^b VIRGINIA POLYTECHNIC INSTITUTE AND STATE UNIVERSITY   (United States)

Author keywords

Agent based models; Bayesian calibration; Ebola; Emerging infectious diseases; Simulation optimization

Indexed keywords

ARTICLE; BASIC REPRODUCTION NUMBER; BAYES THEOREM; BEHAVIOR CHANGE; CALIBRATION; CASE FATALITY RATE; DIAGNOSTIC TEST ACCURACY STUDY; EBOLA HEMORRHAGIC FEVER; EPIDEMIC; FUNERAL HOME; HIGH RISK POPULATION; HOSPITALIZATION; HUMAN; INFORMATION PROCESSING; LIBERIA; MATHEMATICAL MODEL; MEASUREMENT ERROR; PREDICTION AND FORECASTING; PREDICTIVE VALUE; PRIORITY JOURNAL; SIMULATION; SOCIAL BEHAVIOR; SOCIAL CLASS; SOCIAL NETWORK; FORECASTING; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA;

BAYES THEOREM; EPIDEMICS; FORECASTING; HEMORRHAGIC FEVER, EBOLA; HUMANS; LIBERIA; MODELS, STATISTICAL;

EID: 85014042198     PISSN: 17554365     EISSN: 18780067     Source Type: Journal    
DOI: 10.1016/j.epidem.2017.02.010     Document Type: Article

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