Method for evaluating influence of transportation on COVID-19 propagation
A COVID-19, transportation technology, applied in the field of disease transmission and epidemic prevention, can solve problems such as the spread of COVID-19
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specific Embodiment example 1
[0154] Specific implementation case 1: COVID-19 transmission simulation under the current policy using the corresponding steps of the specific implementation of the evaluation method of the present invention
[0155] Set the start date of the simulation as December 30, 2019, the government did not implement traffic control measures before January 23, 2020, the simulation step size is 1 day, and the simulation end date is May 27, 2020. The COVID-19 simulation is as follows.
[0156] Figure 10 It shows the number of latent individuals, the number of infected individuals and the number of removed individuals in city A and related areas under the current policy (city A is the epidemic area, and the areas outside it are related areas, and traffic control will be implemented on January 23, 2020). The main variables, parameters and expressions of the simulation are shown in Table 1.
[0157] The simulation results show that after the traffic control measures were adopted in the epid...
specific Embodiment example 2
[0158] Specific implementation case 2: Utilize the corresponding steps of the specific implementation of the evaluation method of the present invention to carry out the assessment of the impact of the traffic travel ratio on the spread of COVID-19
[0159] Figure 11 , 12 It shows the change of the number of infected individuals and the number of removed individuals over time in the epidemic area and related areas when the proportion of traffic travel changes. The proportions of public transport trips are set to 0.3, 0.6, and 0.8 respectively, and other simulation main variable parameters and expressions are shown in Table 1.
[0160] The results show that: with the increase of the proportion of public transport trips, the number of infected individuals and the number of removed individuals in the epidemic area did not fluctuate significantly, but the number of infected individuals and the number of removed individuals in related areas increased significantly, which was due t...
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