shopping

Savings.com Retail Index Predicts Online Holiday Shopping Season to Be Earlier and Bigger Than Ever

Savings.com Retail Index

Consumer Same-Day Purchase Intent
Consumer Same-Day Purchase Intent
Consumer Same-Day Purchase Intent

SANTA MONICA, Calif., Oct. 14, 2020 (GLOBE NEWSWIRE) — Savings.com (https://www.savings.com/) today released new research on the upcoming online holiday shopping season. The Savings.com Retail Index suggests this year’s e-commerce shopping will be the biggest and longest holiday shopping season ever.

The research, “Savings.com Retail Index: 2020 E-Commerce Holiday Shopping Season Earlier, Bigger Than Ever Before,” found that increased spending in advance of the holiday season started a month earlier that previous years.

“Traditionally, e-commerce experiences its seasonal low in mid-September between back-to-school spending and the beginning of holiday and fall spending. This year, which isn’t traditional in any fashion, the seasonal low happened in mid-August as if the holiday spending season will be a full month longer,” said Sara Korab, Retail Trends director at Savings.com. “In addition, with Prime Day and competing sales dominating this week, we expect

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model

Deaths could approach 400,000 by February, model predicts

The US coronavirus death toll could almost double to about 400,000 by February, an influential model predicts.



a person standing on a sidewalk: People walk through Times Square near Broadway and an empty theater district on October 9, 2020 in New York City. (Photo by Spencer Platt/Getty Images)


© Spencer Platt/Getty Images)
People walk through Times Square near Broadway and an empty theater district on October 9, 2020 in New York City. (Photo by Spencer Platt/Getty Images)

This comes as the country reports the highest number of daily Covid-19 infections in almost two months, with experts offering grim outlooks if Americans don’t take precautions.

The latest forecast projects 394,693 US coronavirus deaths by February 1, 2021. That’s about 181,000 additional lives lost beyond the current US death toll of 213,860, according to data from Johns Hopkins University.

The model, from the Institute for Health Metrics and Evaluation at the University of Washington School of Medicine, projects that daily deaths in the US will peak at about 2,300 in mid-January.

For comparison, Friday’s US death toll was 990, according to Johns

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model

UMass model predicts Mass. death tally to rise near 9,800 in four weeks

A University of Massachusetts model predicts the state’s coronavirus death toll could rise near 9,800 by Oct. 24.

The model says the state could tally 9,769 coronavirus deaths by that time, though researchers noted the number could range from 9,633 to 9,997.

The model numbers reflect both confirmed and probable cases. The state had tallied 9,423 confirmed and probable case deaths as of Tuesday.

The rate of deaths reported each day has slowed after a terrifying climb this spring. The model predicts the state will continue to see around 90 coronavirus deaths a week in the coming weeks.

The projection comes from a lab headed by UMass Amherst associate professor Nicholas Reich that collects various models and develops a combined forecast that is intended to reflect their collective wisdom.

It only creates the forecast for a four-week window ahead because scientists believe forecasts aren’t reliable enough after that.

Reich’s lab

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model

Model Predicts Severe Disease in Those With COVID-19

Editor’s note: Find the latest COVID-19 news and guidance in Medscape’s Coronavirus Resource Center.

A new prediction model can help clinicians and hospitals discern which patients with COVID-19 are likely to progress to severe disease and how quickly, researchers say.

Brian Garibaldi, MD, associate professor of medicine at the Johns Hopkins University School of Medicine in Baltimore, Maryland, and colleagues developed the COVID-19 Inpatient Risk Calculator with 24 variables known to be linked with COVID-19, such as age, body mass index, underlying conditions, vital signs, and symptom severity at the time of admission.

Data were gathered from the care of 832 consecutive patients with COVID-19 between March 4 and April 24 at five Johns Hopkins hospitals in Maryland and Washington, DC.

Findings were published online September 22 in the Annals of Internal Medicine.

Model Shows Extremes in Risk

The authors say the model can predict likelihood of severe disease

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model

New model predicts ‘huge surge’ in COVID-19 across US next month as cases rise in 21 states

The number of new coronavirus cases in 21 states has increased by at least 10 percent or more from last week as health officials warn of a possible surge in cases in the fall and winter, according to a CNN analysis of Johns Hopkins University data. 

New cases have risen in Alabama, Alaska, Colorado, Idaho, Maine, Michigan, Minnesota, Montana, Nevada, New Jersey, New Mexico, North Carolina, North Dakota, Oregon, South Carolina, South Dakota, Texas, Utah, Washington state, Wisconsin and Wyoming, according to CNN. 


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Cases in at least 18 states are holding steady while 11 states have experienced a decrease of 10 percent or more from a week earlier, according to the analysis. 

The U.S. is continuing to report more than 40,000 new cases every

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