Selected article for: "calibrate model and different intervention"
Author: Shi Chen; Qin Li; Song Gao; Yuhao Kang; Xun Shi
Title: Mitigating COVID-19 outbreak via high testing capacity and strong transmission-intervention in the United States
  • Document date: 2020_4_7
    • ID: c84ybwve_12
    Snippet: The modeling is a dynamic projection process. We employed daily and state-specific historical data to incrementally calibrate the model, and then used the calibrated model to predict future scenarios under different control and intervention measures. During this process, we ran data assimilation methods to identify parameter values that optimally fit the current situation (see more details in the supplementary material). To project into the futur.....
    Document: The modeling is a dynamic projection process. We employed daily and state-specific historical data to incrementally calibrate the model, and then used the calibrated model to predict future scenarios under different control and intervention measures. During this process, we ran data assimilation methods to identify parameter values that optimally fit the current situation (see more details in the supplementary material). To project into the future, we set different values for the parameters to create different control and intervention scenarios, and then ran the simulation to see their impact on the model results. The final output of the model is the total number of confirmed cases in a state on a particular day.

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