The Effects of Stringent and Mild Interventions for Coronavirus Pandemic

DOI10.1080/01621459.2021.1897015zbMath1464.92253arXiv2006.00523OpenAlexW3135325062MaRDI QIDQ4999119

Wenxiang Luo, Ting Tian, Wenliang Pan, Yukang Jiang, Songpan Yang, Jianbin Tan, Minqiong Chen, Canhong Wen, Xue-Qin Wang

Publication date: 6 July 2021

Published in: Journal of the American Statistical Association (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/2006.00523

zbMATH Keywords

compartmental modelcounterfactualtreatment effectsynthetic control methodCOVID-19

Mathematics Subject Classification ID

Epidemiology (92D30)

Related Items (3)

Measuring dynamic pandemic-related policy effects: a time-varying parameter multi-level dynamic factor model approach ⋮ Bayesian computational methods for state-space models with application to SIR model ⋮ Estimating COVID-19 vaccine protection rates via dynamic epidemiological models -- a study of 10 countries

Uses Software

• deSolve
• diffEq
• ClustGeo

Cites Work

• Regression discontinuity designs: a guide to practice
• Estimating the dimension of a model
• Bayesian inference for causal effects: The role of randomization
• ClustGeo: an R package for hierarchical clustering with spatial constraints
• The timing and effectiveness of implementing mild interventions of COVID-19 in large industrial regions via a synthetic control method
• Unnamed Item

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