Estimation of the effective reproduction number of COVID-19 in NCR using differentiable physics simulation and its association with meteorological factors
Abstract
We approximate the infection rate β(t) and removal rate γ(t) of the time-dependent SIR model with a parameterized piece-wise linear function and use differentiable physics simulation to get an estimate of the effective reproduction number R(t). We then use principal component regression to determine the association between the effective reproduction number and meteorological factors.
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