A Path-Specific SEIR Model for use with General Latent and Infectious Time Distributions

Biometrics

Volumn 69, Issue 1, 2013, Pages 101-108

  Porter, Aaron T ^a   Oleson, Jacob J ^b  

^a UNIVERSITY OF MISSOURI   (United States)

^b UNIVERSITY OF IOWA   (United States)

Author keywords

Bayesian; Epidemic; Exponential assumption; Infectious; Iowa; Latent; MCMC; Mumps; SEIR; SIR

Indexed keywords

STOCHASTIC MODELS;

BAYESIAN; EPIDEMIC; EXPONENTIAL ASSUMPTION; EXPONENTIALS; INFECTIOUS; IOWA; LATENT; MCMC; MUMP; SEIR; SIR;

STOCHASTIC SYSTEMS;

BAYESIAN ANALYSIS; EPIDEMIC; INFECTIOUS DISEASE; SPATIOTEMPORAL ANALYSIS; STOCHASTICITY;

IOWA; UNITED STATES;

ARTICLE; BAYES THEOREM; COMMUNICABLE DISEASE; COMPUTER SIMULATION; EPIDEMIC; HUMAN; MONTE CARLO METHOD; MUMPS; PROBABILITY; STATISTICAL MODEL; STATISTICS; UNITED STATES;

BAYES THEOREM; COMMUNICABLE DISEASES; COMPUTER SIMULATION; DISEASE OUTBREAKS; HUMANS; IOWA; MARKOV CHAINS; MODELS, STATISTICAL; MONTE CARLO METHOD; MUMPS; STOCHASTIC PROCESSES;

EID: 84875954258     PISSN: 0006341X     EISSN: 15410420     Source Type: Journal    
DOI: 10.1111/j.1541-0420.2012.01809.x     Document Type: Article

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