A Multiobjective Optimization Model for Prevention and Control of Coronavirus Disease 2019 in China

It is a global issue to set up a practical, sensitive, and useful model to eradicate or mitigate the coronavirus disease 2019 (COVID-19). Taking Central China's Hubei Province for example, three models were established. Firstly, a susceptible-probable-infectious-recovered (SPIR) model was proposed to predict the monthly number of confirmed and susceptible cases in each city. Next, an epidemic prefecture clustering model was set up to find proper vaccine delivery sites, according to the distance of each city. Finally, a dynamic material delivery optimization model was established for multiple epidemic prefectures, aiming to speed up vaccine production and storage in each delivery site.

Automated summary

This article introduces three models established in Hubei Province, Central China, including the SPIR model, the epidemic prefecture clustering model, and the dynamic material delivery optimization model, which are used for predicting case numbers, selecting vaccine delivery sites, and optimizing material delivery.