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Abstract This paper established a Susceptible-Infected-Recovered-Dead (SIRD) model to fit and predict the COVID-19 epidemic in China. On the premise of passing the Markov Chain Monte Carlo (MCMC) robustness check, we counterfactually assessed the effectiveness of partial unlocking and vaccination policies.
As a journalist, you can create a free Muck Rack account to customize your profile, list your contact preferences, and upload a portfolio of your best work.