The bivalent COVID-19 vaccine given to working-aged adults afforded modest protection overall against COVID-19, while the virus strains dominant in the community were those represented in the vaccine.
Two weeks ago the Centers for Disease Control and Prevention (CDC) published data about the effectiveness of boosters against COVID-19
The CDC failed to publish a tranche of their data, however – omitting the impact on those aged 18-49, who are least likely to benefit from boosters
The CDC are also being criticized for failing to publish their information about child hospitalization rates and comorbidities
A spokeswoman for the CDC said they were concerned that the data would be misinterpreted, pointing out that it was incomplete and not verified
Critics said that it was always better to publish the information rather than withhold, and allow scientists to analyze and explain what they could
The Centers for Disease Control and Prevention on Friday clarified its stance on various kinds of masks, acknowledging that the cloth masks frequently worn by Americans do not offer as much protection as surgical masks or respirators.
While this disparity is widely known to the general public, the update marks the first time the C.D.C. has explicitly addressed the differences. The agency’s website also no longer refers to a shortage of respirators.
The change comes as infections with the highly contagious Omicron variant continue to soar. Some experts have said that cloth masks are inadequate to protect from the variant, and have urged the C.D.C. to recommend respirators for ordinary citizens.
DOUBLE-JABBED Scots are now more likely to be admitted to hospital with Covid than the unvaccinated amid an increase in elderly people falling ill due to waning immunity.
It comes amid “weird” data showing that case rates have been lower in unvaccinated individuals than the single, double, or even triple-jabbed since Omicron became the dominant variant in Scotland.
The counterintuitive data from Public Health Scotland (PHS) contradicts previous pandemic trends which have consistently shown infection, hospitalisation and death rates to be highest among the unvaccinated.
Two doses of Pfizer vaccine offer limited protection, says Albert Bourla, Pfizer CEO.
Contrary to the claims made by Dr Rachel Clarke and Professor Stephen Powis last month and used to blame the unvaccinated for the mounting troubles of the NHS, new data out this week shows that the majority of Covid ICU admissions in October and November were among the vaccinated, not the unvaccinated.
The latest report from ICNARC shows that of Covid ICU patients in England, Wales and Northern Ireland, 50.5% in October and 50.7% in November were double vaccinated. Add to that the 2.8% in October and 1.8% in November who were single-vaccinated and you get overall vaccinated proportions of 53.3% in October and 52.5% in November. That compares to 46.7% unvaccinated in October and 47.5% in November. Note that the unvaccinated here includes people who received a vaccine less than 14 days prior to the positive Covid test, so includes some (an unknown number) who are actually single vaccinated.
Ten people have tested positive for Covid on board a Norwegian Cruise Line ship bound for New Orleans, despite the strict rules in place that required that all passengers and crew be vaccinated.
The vessel had departed the same city on November 28, and was scheduled to return there this weekend. On its route, the Norwegian Breakaway called at a number of ports in Belize, Honduras, and Mexico, according to the Louisiana Department of Health. More than 3,200 people are believed to be on board. Officials said in a statement that the cruise line “has been adhering to appropriate quarantine and isolation protocols as new cases and exposures have been identified.”
However, despite this apparent evidence to support vaccine effectiveness – at least for the older age groups – on closer inspection of this data, this conclusion is cast into doubt. That is because we have shown a range of fundamental inconsistencies and flaws in the data. Specifically:
• In each group the non-Covid mortality rates in the three different categories of vaccinated people fluctuate in a wild, but consistent way, far removed from the expected historical mortality rates.
• Whereas the non-Covid mortality rate for unvaccinated should be consistent with historical mortality rates (and if, anything slightly lower than the vaccinated non-Covid mortality rate) it is not only higher than the vaccinated mortality rate, but it is far higher than the historical mortality rate.
• In previous years each of the 60-69, 70-79 and 80+ groups have mortality peaks at the same time during the year (including 2020 when all suffered the April Covid peak at the same time). Yet in 2021 each age group has non-Covid mortality peaks for the unvaccinated at a different time, namely the time that vaccination rollout programmes for those cohorts reach a peak.
• The peaks in the Covid mortality data for the unvaccinated are inconsistent with the actual Covid wave.
Whatever the explanations for the observed data, it is clear that it is both unreliable and misleading. We considered the socio-demographic and behavioural differences between vaccinated and unvaccinated that have been proposed as possible explanations for the data anomalies, but found no evidence supports any of these explanations. By Occam’s razor we believe the most likely explanations are:
• Systematic miscategorisation of deaths between the different groups of unvaccinated and vaccinated.
• Delayed or non-reporting of vaccinations.
• Systematic underestimation of the proportion of unvaccinated.
• Incorrect population selection for Covid deaths.
Researchers who scoured the records of nearly 800,000 U.S. veterans found that in early March, just as the Delta variant was gaining a toehold across American communities, the three vaccines were roughly equal in their ability to prevent infections.
But over the next six months, that changed dramatically.
By the end of September, Moderna’s two-dose COVID-19 vaccine, measured as 89% effective in March, was only 58% effective.