Flexible Modeling of Epidemics with an Empirical Bayes Framework

PLoS Computational Biology

Volumn 11, Issue 8, 2015, Pages

  Brooks, Logan C ^a   Farrow, David C ^a   Hyun, Sangwon ^b   Tibshirani, Ryan J ^b   Rosenfeld, Roni ^a  

^a Carnegie Mellon University   (United States)

^b CARNEGIE MELLON UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

DISEASE CONTROL; DISEASES;

'CURRENT; BEHAVIOR POLICY; ECONOMIC BURDEN; EMPIRICAL BAYES; EPIDEMIC CURVE; FLEXIBLE MODEL; HISTORICAL DATA; INFLUENZA EPIDEMICS; POLICY MAKERS; SURVEILLANCE DATA;

FORECASTING;

ARTICLE; DISEASE DURATION; EMPIRICAL BAYES FRAMEWORK; EPIDEMIC; FLU LIKE SYNDROME; MEASUREMENT ACCURACY; PREDICTION AND FORECASTING; RETROSPECTIVE STUDY; SEASONAL INFLUENZA; STATISTICAL ANALYSIS; STATISTICAL MODEL; BAYES THEOREM; BIOLOGICAL MODEL; BIOLOGY; HUMAN; INFLUENZA, HUMAN; PROCEDURES; PUBLIC HEALTH SERVICE; REPRODUCIBILITY; STATISTICS AND NUMERICAL DATA; UNITED STATES;

BAYES THEOREM; CENTERS FOR DISEASE CONTROL AND PREVENTION (U.S.); COMPUTATIONAL BIOLOGY; EPIDEMICS; HUMANS; INFLUENZA, HUMAN; MODELS, BIOLOGICAL; MODELS, STATISTICAL; REPRODUCIBILITY OF RESULTS; UNITED STATES;

EID: 84940740947     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1004382     Document Type: Article

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