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Editorial
Mário de Castro, Lian Heng, Catherine Liu, Tiejun Tong, Xia Wang, Ming-Hui Chen, and Yuedong Wang
pp. 1-2
The timing and effectiveness of implementing mild interventions of COVID-19 in large industrial regions via a synthetic control method
Ting Tian, Wenxiang Luo, Jianbin Tan, Yukang Jiang, Minqiong Chen, Wenliang Pan, Songpan Yang, Jiashu Zhao, Xueqin Wang, and Heping Zhang
pp. 3-12
Discussion on “The timing and effectiveness of implementing mild interventions of COVID-19 in large industrial regions via a synthetic control method” by Tian et al.
Lu Tang
pp. 13-14
Kun Chen and Fei Wang
pp. 15-17
Yifan Zhu
pp. 19-20
Soumik Purkayastha and Peter Song
pp. 21-22
Song Xi Chen and Xianyu Zheng
pp. 23-24
Debashree Ray, Rupam Bhattacharyya, and Bhramar Mukherjee
pp. 25-28
The need to incorporate communities in compartmental models
Michael J. Kane and Owais Gilani
pp. 29-32
Rejoinder of “The timing and effectiveness of implementing mild interventions of COVID-19 in large industrial regions via a synthetic control method”
pp. 33-36
A novel intervention recurrent autoencoder for real time forecasting and non-pharmaceutical intervention selection to curb the spread of Covid-19 in the world
Qiyang Ge, Zixin Hu, Shudi Li, Wei Lin, Li Jin, and Momiao Xiong
pp. 37-47
A robust nonlinear mixed-effects model for COVID-19 death data
Fernanda L. Schumacher, Clécio S. Ferreira, Marcos O. Prates, Alberto Lachos, and Victor H. Lachos
pp. 49-57
Forecasting confirmed cases of the COVID-19 pandemic with a migration-based epidemiological model
Xinyu Wang, Lu Yang, Hong Zhang, Zhouwang Yang, and Catherine Liu
pp. 59-71
Heterogeneity learning for SIRS model: an application to the COVID-19
Guanyu Hu and Junxian Geng
pp. 73-81