A Study on The Effectiveness of Lock-down Measures to Control The Spread of COVID-19
Subhas Kumar Ghosh, Sachchit Ghosh, Sai Shanmukha Narumanchi

TL;DR
This study evaluates the effectiveness of COVID-19 lockdown measures using synthetic control methods, demonstrating significant reductions in deaths in New York, Italy, and Delhi compared to counterfactual scenarios without strict measures.
Contribution
It introduces a synthetic control approach to quantify the impact of lockdowns on COVID-19 mortality across different regions.
Findings
Lockdowns in New York potentially prevented six times more deaths.
In Italy, lockdown measures could have reduced deaths by a factor of three.
Analysis provides counterfactual scenarios to assess policy effectiveness.
Abstract
The ongoing pandemic of coronavirus disease 2019-2020 (COVID-19) is caused by Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2). This pathogenic virus is able to spread asymptotically during its incubation stage through a vulnerable population. Given the state of healthcare, policymakers were urged to contain the spread of infection, minimize stress on the health systems and ensure public safety. Most effective tool that was at their disposal was to close non-essential business and issue a stay home order. In this paper we consider techniques to measure the effectiveness of stringency measures adopted by governments across the world. Analyzing effectiveness of control measures like lock-down allows us to understand whether the decisions made were optimal and resulted in a reduction of burden on the healthcare system. In specific we consider using a synthetic control to…
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Taxonomy
TopicsCOVID-19 epidemiological studies · COVID-19 and healthcare impacts · COVID-19 Digital Contact Tracing
