The paper uses machine learning and mathematical modeling to predict future vaccine distribution and solve the problem of allocating vaccines to different types of hospitals. They collected data and analyzed it, finding factors such as nearby residents, transportation, and medical personnel that impact distribution. They used the results to create a model and allocate vaccines to central and community hospitals and health centers in Hangzhou Gongshu District and Harbin Daoli District based on the model. They provide an explanation for the vaccine distribution based on their model and conclusions.

翻译：本文利用机器学习和数学建模预测未来疫苗分配，并解决不同类型医院间的疫苗分配问题。通过数据收集与分析，发现周边居民数量、交通条件及医务人员配置等影响疫苗分配的关键因素。基于研究结果构建模型，并根据该模型对杭州市拱墅区与哈尔滨市道里区的中心医院、社区医院及卫生服务中心进行疫苗分配。同时，结合模型与结论阐释疫苗分配决策的依据。