COVID-19 Pandemic Response Simulation: Impact of Non-pharmaceutical Interventions on Ending Lockdowns
Lee, S.; Zabinsky, Z. B.; Kofsky, S. M.; Liu, S.
Show abstract
As many federal and state governments are starting to ease restrictions on non-pharmaceutical interventions (NPIs) used to flatten the curve, we developed an agent-based simulation to model the incidence of COVID-19 in King County, WA under several scenarios. While NPIs were effective in flattening the curve, any relaxation of social distancing strategies yielded a second wave. Even if daily confirmed cases dropped to one digit, daily incidence can peak again to 874 cases without import cases. Therefore, policy makers should be very cautious in reopening society.
Matching journals
The top 1 journal accounts for 50% of the predicted probability mass.
Similar papers in this journal
- Evaluation of Contact-Tracing Policies Against the Spread of SARS-CoV-2 in Austria– An Agent-Based Simulation 92%
- Effects of Mitigation and Control Policies in Realistic Epidemic Models Accounting for Household Transmission Dynamics 91%
- Pricing Treatments Cost-Effectively When They Have Multiple Indications: Not Just a Simple Threshold Analysis 91%
Similar papers in this journal
- Interpreting epidemiological surveillance data: A modelling study from Pune City 93%
- Public Mobility Data Enables COVID-19 Forecasting and Management at Local and Global Scales 93%
- An evaluation of educational institutions safe reopening strategies for in-person classes amid the COVID-19 pandemic 93%
Similar papers in this journal
- Projecting the impact of SARS-CoV-2 variants on the COVID-19 epidemic and social restoration in the United States: a mathematical modelling study 92%
- Accuracy of US CDC COVID-19 Forecasting Models 92%
- Assessing COVID-19 vaccination strategies in varied demographics using an individual-based model 92%
Similar papers in this journal
- Effect of different resumption strategies to flatten the potential COVID-19 outbreaks amid society reopens: a modeling study 94%
- Inclusive Health: Modeling COVID-19 In Correctional Facilities And Communities 92%
- Timely Epidemic Monitoring in the Presence of Reporting Delays: Anticipating the COVID-19 Surge in New York City, September 2020 92%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.