# Transportation and Reserve of Emergency Medical Supplies during Public Health Events
## 6 Discussion  
### Discussion of Experimental Results  
This paper presents a new model that can be applied to the mobilization and stockpiling of emergency medical supplies in public health events. The model takes full account of the key considerations for public health events. The model built in this paper completes the work of forecasting the development of public health events, forecasting the demand for emergency supplies, forecasting the degree of urgency mobilizing, and stockpiling emergency supplies considering the degree of urgency and cost. When a public health event occurs again, the model parameters can be modified according to the actual situation of the region in order to complete the response of emergency medical supplies in advance. Furthermore, the model built in this paper can be more widely used, and it has a wide applicability in the problem of mobilization and stockpiling of emergency supplies, such as the emergency mobilization of emergency supplies during earthquake relief, the emergency mobilization of emergency supplies during flooding, etc. The modelling and problem-solving ideas in this paper can be considered to predict the development of the event and the demand for emergency supplies of the affected people in the disaster area in advance, to set the parameters to calculate the urgency of the demand, and then to establish a more scientific scheduling reserve model and to make decisions in a fast and precise manner. It can help to reduce the loss of the disaster area and protect the affected people.  
Our model considers multi-objective optimization and the more practical VRPTW problem, as described in the literature review summarized by [PERSON], [PERSON] et al. [49]. Previous researchers have conducted predictive simulations of the occurrence of public health events, while other researchers have investigated the problem of deterministic-based mobilization and stockpiling [50; 51]. In the field of emergency management, advance decision making can significantly reduce losses. Therefore, in the field of emergency mobilization and stockpiling research, the study in this paper considers many practical issues and combines the SEIR system dynamics model with the VRPTW problem, which provides assistance in making decisions in advance in emergency management.  
Figure 4: Roadmap of the optimal distribution scheme.  
This research could be of great help to practitioners in related fields. It is well known that the most dangerous aspect of public health events is their rapid spread. Practitioners can make use of the model built in this paper to carry out emergency medical supplies and stockpiles before the public health event breaks out on a large scale, greatly reducing the probability of dispatchers being infected. In addition, having enough emergency medical supplies can be of great help in suppressing the outbreak of a public health event. Using the model, we built can improve the stockpiling of emergency medical supplies, which in turn can improve the safeguards for healthcare workers and reduce the risk of healthcare workers. Moreover, the models developed in this paper can assist management decision makers in making the right decisions, and having emergency medical supplies at their disposal can greatly reduce the problem of online public opinions, which helps the public's confidence in the fight against public health events.