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Background: Timely detection of localised COVID-19 surges is essential for targeting limited health resources, yet most routine surveillance algorithms ignore spatial dependence and many Bayesian spat...
Bayesian outbreak detection
Hamiltonian Monte Carlo; spatio-temporal modelling
COVID-19
South Africa
hidden Markov model
disease surveillance
SinoXiv