<b>Revealing the spatial heterogeneity effect of vaccination by using urban multi-scenario simulation data</b>

<p dir="ltr">The simulation model code used in the article "Revealing the spatial heterogeneity effect of vaccination by using urban multi-scenario simulation data" is located in the SimulationCode folder, and all mapping codes are under the PicsCode folder.</p><p dir="ltr">PicsCode:</p><p dir="ltr">The naming prefixes of code file names correspond to the figure numbers in the main text.</p><p dir="ltr">SimulationCode:</p><p dir="ltr">1. Lag_Main.py: Case sequence lag processing.</p><p dir="ltr">2. TrainModel.ipynb: Execute in sequential steps to complete baseline model training and parameter calibration.</p><p dir="ltr">3. Run_parallel_start.py: Launch multiple subprocesses to perform multi-scenario simulations in parallel.</p><p dir="ltr">4. SingleScenario_simulation.py: Simulate specific scenarios individually.</p><p dir="ltr">5. ResultAnaly.ipynb: Effect contribution decomposition analysis.</p>