The optimal vaccination strategy to control COVID-19: a modeling study in Wuhan City, China

• Main Authors: Ze-yu Zhao (Author), Yan Niu (Author), Li Luo (Author), Qing-qing Hu (Author), Tian-long Yang (Author), Mei-jie Chu (Author), Qiu-ping Chen (Author), Zhao Lei (Author), Jia Rui (Author), Cheng-long Song (Author), Sheng-nan Lin (Author), Yao Wang (Author), Jing-wen Xu (Author), Yuan-zhao Zhu (Author), Xing-chun Liu (Author), Meng Yang (Author), Jie-feng Huang (Author), Wei-kang Liu (Author), Bin Deng (Author), Chan Liu (Author), Zhuo-yang Li (Author), Pei-hua Li (Author), Yan-hua Su (Author), Ben-hua Zhao (Author), Wen-long Huang (Author), Roger Frutos (Author), Tian-mu Chen (Author)
• Format: Book
• Published: BMC, 2021-12-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

Abstract Background Reaching optimal vaccination rates is an essential public health strategy to control the coronavirus disease 2019 (COVID-19) pandemic. This study aimed to simulate the optimal vaccination strategy to control the disease by developing an age-specific model based on the current tra...