The COVID-19 Incarceration Model: a tool for corrections staff to analyze outbreaks of COVID-19
Kwon, J. A.; Bretana, N. A.; Grant, L.; Galouzis, J.; Hoey, W.; Blogg, J.; Lloyd, A. R.; Gray, R. T.
Show abstract
Correctional facilities are at high risk of COVID-19 outbreaks due to the inevitable close contacts in the environment. Such facilities are a high priority in the public health response to the epidemic. We developed a user-friendly Excel spreadsheet model (building on the previously developed Recidiviz model) to analyze COVID-19 outbreaks in correctional facilities and the potential impact of prevention strategies -the COVID-19 Incarceration Model. The model requires limited inputs and can be used by non-modelers. The impact of a COVID-19 outbreak and mitigation strategies is illustrated for an example prison setting.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- A Bayesian Susceptible-Infectious-Hospitalized-Ventilated-Recovered Model to Predict Demand for COVID-19 Inpatient Care in a Large Healthcare System 92%
- Threshold analyses on rates of testing, transmission, and contact for COVID-19 control in a university setting 92%
- Regular testing of asymptomatic healthcare workers identifies cost-efficient SARS-CoV-2 preventive measures 92%
Similar papers in this journal
- Assessing the Risk of Cascading COVID-19 Outbreaks from Prison-to-Prison Transfers 95%
- Using an Agent-Based Model to Assess K-12 School Reopenings Under Different COVID-19 Spread Scenarios – United States, School Year 2020/21 93%
- Estimating the impact of test-trace-isolate-quarantine systems on SARS-CoV-2 transmission in Australia 93%
Similar papers in this journal
- Preventing a cluster from becoming a new wave in settings with zero community COVID-19 cases 94%
- Modelling the impact of tuberculosis preventive therapy: the importance of disease progression assumptions 93%
- Modelling testing and response strategies for COVID-19 outbreaks in remote Australian Aboriginal communities 92%
Similar papers in this journal
- Optimal use of COVID19 Ag-RDT screening at border crossings to prevent community transmission: a modeling analysis 91%
- Measuring the impact of nonpharmaceutical interventions on the SARS-CoV-2 pandemic at a city level: An agent-based computational modeling study of the City of Natal 91%
- A Sliding Window Approach to Optimize the Time-varying Parameters of a Spatially-explicit and Stochastic Model of COVID-19 91%
Similar papers in this journal
"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.