A Bayesian Ensemble Approach for Epidemiological Projections

PLoS Computational Biology

Volumn 11, Issue 4, 2015, Pages

  Lindström, Tom ^a,b,c,d   Tildesley, Michael ^c,e   Webb, Colleen ^b,c  

^a LINKÖPING UNIVERSITY   (Sweden)

^b Department of Environmental and Radiological Health Sciences   (United States)

^c NATIONAL INSTITUTES OF HEALTH   (United States)

^d UNIVERSITY OF EXETER   (United Kingdom)

^e UNIVERSITY OF NOTTINGHAM   (United Kingdom)

Author keywords

[No Author keywords available]

Indexed keywords

DISEASE CONTROL; FORECASTING;

BAYESIAN; BAYESIAN TECHNIQUES; CLIMATE FORECASTING; CONTROL ACTIONS; DISEASE OUTBREAKS; ENSEMBLE APPROACHES; ENSEMBLE MODELS; MODEL ASSUMPTIONS; MODEL PARAMETERIZATION; MULTIPLE PROJECTIONS;

SENSITIVITY ANALYSIS;

ANALYTIC METHOD; ARTICLE; BAYES THEOREM; CLIMATE CHANGE; EPIDEMIC; EPIDEMIOLOGICAL DATA; FOOT AND MOUTH DISEASE; FORECASTING; HUMAN; MATHEMATICAL MODEL; PREDICTION; SENSITIVITY ANALYSIS; STATISTICAL ANALYSIS; UNITED KINGDOM; ALGORITHM; ANIMAL; COMPARATIVE STUDY; COMPUTER SIMULATION; EVALUATION STUDY; FOOT-AND-MOUTH DISEASE; HEALTH SURVEY; INCIDENCE; PROCEDURES; REPRODUCIBILITY; RISK FACTOR; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA;

ALGORITHMS; ANIMALS; BAYES THEOREM; COMPUTER SIMULATION; DATA INTERPRETATION, STATISTICAL; DISEASE OUTBREAKS; FOOT-AND-MOUTH DISEASE; HUMANS; INCIDENCE; MODELS, STATISTICAL; POPULATION SURVEILLANCE; REPRODUCIBILITY OF RESULTS; RISK FACTORS; SENSITIVITY AND SPECIFICITY; UNITED KINGDOM;

EID: 84929485273     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1004187     Document Type: Article

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