Mayo Clinic’s COVID-19 map forecasting tool projects that average daily cases in the U.S. could hit more than 46,000 by April 25. The tool showed a national daily average of 33,152 cases for April 15.
Becker’s calculated the rate at which daily COVID-19 cases are expected to increase using current and predicted figures from Mayo Clinic’s tool. Nine states and Washington, D.C., are projected to see the largest jumps in daily cases by April 25:
|
State |
Average daily cases on April 15 |
Average daily cases on April 25 |
Percent change (%) |
|
Mississippi |
258 |
622 |
141 |
|
South Dakota |
24 |
46 |
92 |
|
South Carolina |
453 |
782 |
73 |
|
Connecticut |
748 |
1,279 |
71 |
|
New York |
6,069 |
9,824 |
62 |
|
New Jersey |
2,007 |
3,153 |
57 |
|
Rhode Island |
361 |
554 |
53 |
|
Washington, D.C. |
239 |
366 |
53 |
|
Ohio |
713 |
1,063 |
49 |
|
Virginia |
1,135 |
1,690 |
49 |
Note: Mayo Clinic uses a Bayesian statistical model to forecast cases that automatically updates as new data becomes available. Forecasts were unavailable for Alaska and Hawaii. There is an uncertainty interval for forecast values, with lower and upper bounds that are not included in the calculations in this table. To learn more about the data Mayo Clinic uses to forecast hot spots, click here. Becker’s pulled the forecast values April 15 at 8:45 a.m. CDT.
At the Becker's 11th Annual IT + Revenue Cycle Conference: The Future of AI & Digital Health, taking place September 14–17 in Chicago, healthcare executives and digital leaders from across the country will come together to explore how AI, interoperability, cybersecurity, and revenue cycle innovation are transforming care delivery, strengthening financial performance, and driving the next era of digital health. Apply for complimentary registration now.
