Emulating a gravity model to infer the spatiotemporal dynamics of an infectious disease

Keyphrases

• Spatiotemporal Dynamics 100%
• Infectious Diseases 100%
• Model Fitting 100%
• Gravity Model 100%
• Likelihood-free Inference 66%
• Parameter Estimation 33%
• Probabilistic Model 33%
• Model Simulation 33%
• Likelihood Function 33%
• Best Model 33%
• Biological Characteristics 33%
• Vaccination 33%
• Computer Model 33%
• Disease Spread 33%
• Parameter Inference 33%
• Infectious Disease Dynamics 33%
• Measles 33%
• Two-period 33%
• Susceptible-infected-recovered Model 33%
• Emulation 33%
• Approximate Bayesian Computation 33%
• Wales 33%
• Pre-vaccination 33%
• Measles Outbreak 33%
• Gaussian Process Approximation 33%

Mathematics

• Model Fit 100%
• Likelihood 100%
• Parameter Estimate 50%
• Likelihood Function 50%
• Gaussian Process 50%
• Summary Statistic 50%
• Observed Data 50%
• Fitted Model 50%
• Approximate Bayesian Computation 50%
• Time Series 50%
• Time Series Analysis 50%
• Disease Dynamic 50%