Ontology highlight
ABSTRACT:
SUBMITTER: Ma Z
PROVIDER: S-EPMC10035926 | biostudies-literature | 2023
REPOSITORIES: biostudies-literature
Ma Zhichao Z Zhang Jie J Gao Shaochan S
PloS one 20230323 3
In recent years, the frequent occurrence of public health emergencies has had a significant impact on people's life. The study of emergency logistics has also attracted scholars' attention. Therefore, matching emergency materials' supply and demand quickly, which meets urgency and satisfaction, is the purpose of this paper. This paper used the Metabolism Grey Model (1,1) (GM (1,1)) and the material demand prediction model to predict the number of infections and material demand. Besides, we estab ...[more]