New York State Releases Breakdown of Hospitalizations “With” and “For” COVID

Throughout the “pandemic,” skeptics of the nonstop fear porn pushed by the mainstream media were labeled conspiracy theorists.

Mass-testing drove the narrative that hospitals became overwhelmed by COVID-19 cases.

However, public health officials never made the distinction between “with” COVID and “for” COVID.

The overwhelming amount of positive PCR tests, many false, induced public hysteria and enabled tyrants to enforce lockdowns.

But the state of New York finally distinguished between “with” COVID and “for” COVID. New York Governor Hochul on Friday updated New Yorkers on the state’s progress combating COVID-19.

Across the state, 43% of COVID hospitalizations weren’t related to complications from the virus.

In NYC, the number of hospital admissions unrelated to COVID complications was even higher.

51% of NYC COVID hospitalizations were for reasons unrelated to the virus.

Read the data breakdown below:

New York has its first official breakdown of what share of people are hospitalized for COVID vs. how many are hospitalized with incidental COVID. In NYC it's 49% for COVID, everyone else just happened to test positive. pic.twitter.com/fNUmMK2DM9

— Alyssa Katz (@alykatzz) January 7, 2022

Zeroing in on the New York kids' hospitalization numbers released by the state: https://t.co/iQvVyy802N

— Alyssa Katz (@alykatzz) January 8, 2022

43% of COVID patients currently hospitalized in New York we’re hospitalized for a reason OTHER than COVID and just happened to test positive for COVID.

— Dr. David Samadi (@drdavidsamadi) January 7, 2022

https://twitter.com/ChaChaC87311797/status/1479625566118551555

The Daily Mail reported:

Of the roughly 11,500 COVID-19 patients currently hospitalized in the state, COVID was not included as one of the reasons for admission for 43 percent, according to data Hochul released on Friday.

In New York City, the rate was even higher, with 51 percent of current COVID patients classified as ‘with’ COVID, as opposed to ‘for’ the virus.

In patients ‘with’ COVID, they were hospitalized for unrelated reasons, such as injuries in a car crash, but tested positive for the virus on the routine screening administered to all new patients and were subsequently reclassified as COVID admissions.

On Friday, for the second consecutive day, New York State saw its highest death toll from COVID-19 since the beginning of vaccinations and while things aren’t as dire as during the pandemic’s peak, cases continue to go up.

The state recorded 82,094 new cases of coronavirus and 155 new deaths due to COVID. New York City alone is responsible for 32,799 cases and 586 new hospitalizations. Cases are about six times as high among the unvaccinated as they are among those who’ve gotten the shot.

NATIONAL POLL: Do You Still Have Trump's Back 100%?

Researchers at Washington University modelling the next stage of the pandemic expect Omicron to kill up to 99 per cent fewer people than Delta, as scientists say that the variant is less deadlier than the flu.

governor.ny.gov wrote:

Given the rate of spread of Omicron, it is more meaningful to report the percentage of Omicron variants as uploaded to the public COVID-19 sequence databases, than to report counts of individual cases. This percentage can then be related to the total positive COVID case count in the state. This process is consistent with how the New York State Department of Health has reported on all other variants online: https://coronavirus.health.ny.gov/covid-19-variant-data

Data today in the GISAID database, the largest repository of SARS-CoV-2 sequences in the world, show the Omicron variant comprised 94% of uploaded sequences from NYS between 12/24/21 and 1/6/22. This higher level than that reported yesterday, reflects the expected fluctuations in the database with uploading batches of data from sequencing laboratories. It indicates that Omicron continues to circulate at an extremely high level across the state although there may be regional differences. These cannot be measured with statistical precision due to low sample numbers in the data from the last several days, which is a result of the inherent time lag from sample collection to testing, sequencing and data upload.

It should be noted that similar data reported from the CDC, updated this week, uses a statistical model to project the variant percentages for a more recent timeframe. This projection approach partly explains the different percentage for the Omicron variant reported by CDC.

Yesterday, 155 New Yorkers died due to COVID-19, bringing the total to 49,185. A geographic breakdown is as follows, by county of residence: