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Volume 27, Number 3—March 2021
Research

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

Yen Ting LinComments to Author , Jacob Neumann, Ely F. Miller, Richard G. Posner, Abhishek Mallela, Cosmin Safta, Jaideep Ray, Gautam Thakur, Supriya Chinthavali, and William S. Hlavacek
Author affiliations: Los Alamos National Laboratory, Los Alamos, New Mexico, USA (Y.T. Lin, W.S. Hlavacek); Northern Arizona University, Flagstaff, Arizona, USA (J. Neumann, E.F. Miller, R.G. Posner); University of California, Davis, California, USA (A. Mallela); Sandia National Laboratories, Livermore, California, USA (C. Safta, J. Ray); Oak Ridge National Laboratory, Oak Ridge, Tennessee, USA (G. Thakur, S. Chinthavali)

Main Article

Figure 7

Rare events and anomalies in daily new case counts of coronavirus disease in (A) the New York City, New York metropolitan statistical area during April 5–June 4, 2020 and (B) Phoenix, Arizona, metropolitan statistical area during April 19–June 18, 2020, United States. Crosses indicate observed daily case reports. Orange line indicates 97.5% probability percentile; blue line indicates 2.5% probability percentile. Yellow arrows mark upward-trending rare events. Red arrows mark upward-trending anomalies.

Figure 7. Rare events and anomalies in daily new case counts of coronavirus disease in (A) the New York City, New York metropolitan statistical area during April 5–June 4, 2020 and (B) Phoenix, Arizona, metropolitan statistical area during April 19–June 18, 2020, United States. Crosses indicate observed daily case reports. Orange line indicates 97.5% probability percentile; blue line indicates 2.5% probability percentile. Yellow arrows mark upward-trending rare events. Red arrows mark upward-trending anomalies.

Main Article

Page created: January 20, 2021
Page updated: February 21, 2021
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