Daily Forecasting of Regional Epidemics of Coronavirus Disease with Bayesian Uncertainty Quantification, United States

Daily Forecasting of Regional Epidemics of Coronavirus Disease with Bayesian Uncertainty Quantification, United States

To increase situational awareness and support evidence-based policymaking, we formulated a mathematical model for coronavirus disease transmission within a regional population. This compartmental model accounts for quarantine, self-isolation, social distancing, a nonexponentially distributed incuba...

Full description

Bibliographic Details
Main Authors: Yen Ting Lin, Jacob Neumann, Ely F. Miller, Richard G. Posner, Abhishek Mallela, Cosmin Safta, Jaideep Ray, Gautam Thakur, Supriya Chinthavali, William S. Hlavacek
Format: Article
Language:English
Published: Centers for Disease Control and Prevention 2021-03-01
Series:Emerging Infectious Diseases
Subjects:
mathematical model
statistics
uncertainty
epidemics
coronavirus disease
COVID-19
Online Access:https://wwwnc.cdc.gov/eid/article/27/3/20-3364_article

Similar Items

Similar Items