COVID-19 projections for reopening Connecticut
Crawford, F. W.; Li, Z. R.; Morozova, O.
Show abstract
Key PointsO_LIClosure of schools and the statewide "Stay Safe, Stay Home" order have effectively reduced COVID-19 transmission in Connecticut, with model projections estimating incidence at about 1,300 new infections per day. C_LIO_LIIf close interpersonal contact increases quickly in Connecticut following reopening on May 20, the state is at risk of a substantial increase of COVID-19 infections, hospitalizations, and deaths by late Summer 2020. C_LIO_LIReal-time metrics including case counts, hospitalizations, and deaths may fail to provide enough advance warning to avoid resurgence. C_LIO_LISubstantial uncertainty remains in our knowledge of cumulative COVID-19 incidence, the proportion of infected individuals who are asymptomatic, infectiousness of children, the effects of testing and contact tracing on isolation of infected individuals, and how contact patterns may change following reopening. C_LI
Matching journals
The top 9 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Modeling the COVID-19 outbreak in the United States 91%
- A Bayesian Susceptible-Infectious-Hospitalized-Ventilated-Recovered Model to Predict Demand for COVID-19 Inpatient Care in a Large Healthcare System 91%
- Threshold analyses on rates of testing, transmission, and contact for COVID-19 control in a university setting 91%
Similar papers in this journal
- Model-based Evaluation of Continued COVID-19 Risk at Long Term Care Facilities 91%
- Spatial Point Pattern Analysis of Valley Fever in the Phoenix Metropolitan Area 90%
- Analysis of Intervention Effectiveness Using Early Outbreak Transmission Dynamics to Guide Future Pandemic Management and Decision-Making in Kuwait 89%
Similar papers in this journal
- Projected resurgence of COVID-19 in the United States in July—December 2021 resulting from the increased transmissibility of the Delta variant and faltering vaccination 91%
- COVID-19 clusters in schools: frequency, size, and transmission rates from crowdsourced exposure reports 88%
- Population mobility and the development of Botswana’s generalized HIV epidemic: a network analysis 88%
"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.