The RAPIDD ebola forecasting challenge: Synthesis and lessons learnt

Epidemics

Volumn 22, Issue , 2018, Pages 13-21

  Viboud, Cécile ^a   Sun, Kaiyuan ^b   Gaffey, Robert ^a   Ajelli, Marco ^c   Fumanelli, Laura ^c   Merler, Stefano ^c   Zhang, Qian ^b   Chowell, Gerardo ^a,d   Simonsen, Lone ^a,e   Vespignani, Alessandro ^b,f,g  

^a NATIONAL INSTITUTES OF HEALTH   (United States)

^b NORTHEASTERN UNIVERSITY   (United States)

^c FONDAZIONE BRUNO KESSLER   (Italy)

^d GEORGIA STATE UNIVERSITY   (United States)

^e GEORGE WASHINGTON UNIVERSITY   (United States)

^f HARVARD UNIVERSITY   (United States)

^g ISI FOUNDATION   (Italy)

Author keywords

Data accuracy; Ebola epidemic; Forecasting challenge; Mathematical modeling; Model comparison; Prediction horizon; Prediction performance; Synthetic data

Indexed keywords

ARTICLE; BAYES THEOREM; CASE FATALITY RATE; COMPARATIVE STUDY; DATA SYNTHESIS; EBOLA HEMORRHAGIC FEVER; EPIDEMIC; FORECASTING; HUMAN; INCIDENCE; INFORMATION PROCESSING; MATHEMATICAL MODEL; MEASUREMENT ACCURACY; MEASUREMENT ERROR; MEDICAL HISTORY; PREDICTION; PRIORITY JOURNAL; REPRODUCTION; WEST AFRICAN; LIBERIA; REPRODUCIBILITY; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA;

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

EID: 85029747062     PISSN: 17554365     EISSN: 18780067     Source Type: Journal    
DOI: 10.1016/j.epidem.2017.08.002     Document Type: Article

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