Forecasting Influenza Epidemics in Hong Kong

PLoS Computational Biology

Volumn 11, Issue 7, 2015, Pages

  Yang, Wan ^a   Cowling, Benjamin J ^b   Lau, Eric H Y ^b   Shaman, Jeffrey ^a  

^a Columbia University ^*  (United States)

^b UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

[No Author keywords available]

Indexed keywords

EPIDEMIOLOGY; FORECASTING; KALMAN FILTERS; REAL TIME SYSTEMS;

ENSEMBLE ADJUSTMENT KALMAN FILTER; FORECAST ACCURACY; FORECAST SYSTEMS; HONG-KONG; INFLUENZA EPIDEMICS; PARTICLE FILTER; REAL- TIME; SUBTROPICAL REGIONS; TEMPERATE REGIONS; TROPICAL REGIONS;

TROPICS;

ACCURACY; ARTICLE; BAYES THEOREM; DISEASE SURVEILLANCE; DISEASE TRANSMISSION; EPIDEMIC; GEOGRAPHIC MAPPING; HONG KONG; HUMAN; INFLUENZA; INFLUENZA VIRUS A H1N1; INFLUENZA VIRUS A H3N2; INFLUENZA VIRUS B; INFORMATION PROCESSING; KALMAN FILTER; MATHEMATICAL PARAMETERS; NONHUMAN; PARTICLE FILTER; PREDICTION AND FORECASTING; PROCESS OPTIMIZATION; SUSCEPTIBLE INFECTED RECOVERED MODEL; SYSTEM ANALYSIS; COMPUTER SIMULATION; FORECASTING; HEALTH SURVEY; INCIDENCE; INFLUENZA, HUMAN; PANDEMIC; PROCEDURES; REPRODUCIBILITY; RISK ASSESSMENT; SENSITIVITY AND SPECIFICITY; STATISTICAL MODEL; STATISTICS AND NUMERICAL DATA;

COMPUTER SIMULATION; FORECASTING; HONG KONG; HUMANS; INCIDENCE; INFLUENZA, HUMAN; MODELS, STATISTICAL; PANDEMICS; POPULATION SURVEILLANCE; REPRODUCIBILITY OF RESULTS; RISK ASSESSMENT; SENSITIVITY AND SPECIFICITY;

EID: 84938651583     PISSN: 1553734X     EISSN: 15537358     Source Type: Journal    
DOI: 10.1371/journal.pcbi.1004383     Document Type: Article

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