WHOA: Study Says Chinese Virus Caused 18% Increase In Deaths In U.S.

(PatriotHeadline.com)- A new study has shown that the arrival of the Chinese coronavirus in the United States caused a huge spike in deaths in the United States, claiming at least 122,000 more lives than would be expected during the same period in the year. It is an increase of 18% over normal years, according to the new report which was released on Wednesday in the JAMA Internal Medicine journal.

The data comes from a study performed by Yale University and shows just how dangerous this virus can really be.

Thanks, China.

The data gives us more of an insight into how the virus kills on a local basis, however. The national average is shocking, but when you look at the data in certain parts of the country, it’s even more shocking. In Democrat-controlled New York City, more than three times the usual number of people have died since the outbreak of the virus. And that’s with fewer people going to work every day, driving less every day, and putting themselves in harm’s way every day. New York City was one of the first places to be hit by the virus, and owing to the density of the population there, it may not come as a surprise that so many people have died.

Of course, it didn’t help that New York state leadership (cough, Cuomo, cough) enforced a rule that required COVID patients to be sent to nursing homes without being tested. It resulted in the unnecessary and avoidable deaths of thousands of elderly New Yorkers.

The statistics in the study also suggest that the death toll in the first wave of the COVID-19 outbreaks were generally underestimated by all public health officials.

Some have criticized the data, however, arguing that the only reason it shows more people having died is because of the way the virus was reported. Many people who died during the initial outbreak weren’t tested for the virus but exhibited symptoms. While this is true, and it’s likely that this will have an impact on the data, the 18% rise in deaths during COVID-19 is unlikely to be the result of much else, outside of normal standard deviations.