Probabilistic uncertainty analysis of epidemiological modeling to guide public health intervention policy

Epidemics

Volumn 6, Issue , 2014, Pages 37-45

  Gilbert, Jennifer A ^a   Meyers, Lauren Ancel ^b,c   Galvani, Alison P ^a   Townsend, Jeffrey P ^a  

^a YALE UNIVERSITY   (United States)

^b UNIVERSITY OF TEXAS AT AUSTIN   (United States)

^c SANTA FE INSTITUTE   (United States)

Author keywords

Epidemiology; Health policy; Infectious disease; Mathematical modeling; Uncertainty

Indexed keywords

ANTIVIRUS AGENT; INFLUENZA VACCINE;

ARTICLE; DISEASE TRANSMISSION; EPIDEMIC; EPIDEMIOLOGICAL DATA; HEALTH CARE POLICY; HUMAN; INFLUENZA; INFLUENZA VACCINATION; MATHEMATICAL MODEL; OUTCOME ASSESSMENT; PREDICTION; PRIORITY JOURNAL; PROBABILISTIC UNCERTAINTY ANALYSIS; PROBABILITY; PUBLIC HEALTH SERVICE; SENSITIVITY ANALYSIS; UNCERTAINTY; COST BENEFIT ANALYSIS; ECONOMICS; EPIDEMIOLOGY; INFLUENZA, HUMAN; MATHEMATICAL COMPUTING; PROCEDURES; PUBLIC HEALTH; STATISTICS; THEORETICAL MODEL; TRANSMISSION; UNITED STATES; VACCINATION;

COST-BENEFIT ANALYSIS; HEALTH POLICY; HUMANS; INFLUENZA VACCINES; INFLUENZA, HUMAN; MATHEMATICAL COMPUTING; MODELS, THEORETICAL; PUBLIC HEALTH; STOCHASTIC PROCESSES; UNCERTAINTY; UNITED STATES; VACCINATION;

EID: 84896717617     PISSN: 17554365     EISSN: 18780067     Source Type: Journal    
DOI: 10.1016/j.epidem.2013.11.002     Document Type: Article

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