The Effects of Stringent Interventions for Coronavirus Pandemic
Ting Tian (1), Wenxiang Luo (1), Yukang Jiang (1), Minqiong Chen (1),, Canhong Wen (2), Wenliang Pan (1), Xueqin Wang (2) ((1) School of, Mathematics, Sun Yat-sen University, (2) School of Management, University of, Science, Technology of China)

TL;DR
This study evaluates the impact of strict COVID-19 interventions in Wenzhou using multiple analytical methods, demonstrating significant reductions in cases and emphasizing the importance of timely implementation.
Contribution
It introduces a comprehensive evaluation combining synthetic control, regression discontinuity, and SIHR modeling to assess intervention effects on COVID-19.
Findings
Stringent interventions significantly reduced cumulative cases.
Delays or milder interventions could have doubled or quintupled cases.
Timely and strict measures are crucial for epidemic control.
Abstract
The pandemic of COVID-19 has caused severe public health consequences around the world. Many interventions of COVID-19 have been implemented. It is of great public health and societal importance to evaluate the effects of interventions in the pandemic of COVID-19. In this paper, with help of synthetic control method, regression discontinuity and a Susceptible-Infected and infectious without isolation-Hospitalized in isolation-Removed (SIHR) model, we evaluate the horizontal and longitudinal effects of stringent interventions implemented in Wenzhou, a representative urban city of China, where stringent interventions were enforced to curb its own epidemic situation with rapidly increasing newly confirmed cases. We found that there were statistically significant treatment effects of those stringent interventions which reduced the cumulative confirmed cases of COVID-19. Those reduction…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsCOVID-19 epidemiological studies
