I present facts as I’m a thorough researcher and clinician of 30+ years. I don’t fall victim to fear, hype or propaganda. If you choose to read all of the data contained in this email and from the provided links, I’m sure you will come to the same conclusion as I have. Influenza “Flu” Vaccination – Hype or Help?
MY CONCLUSION, AS WELL AS OTHERS (though not the biased CDC), BASED ON CURRENT PEER-REVIEWED MEDICAL RESEARCH AND LITERATURE: “Based on available data there is no logical reason, other than fear and propaganda, to why one should receive a yearly flu shot. If you choose to receive the flu shot than I hope you benefit from the up to 30% boost attributed to what is known as the ‘placebo effect’. Prevention is the cure. Increasing one’s vitamin D levels, by increasing one’s exposure to natural sunlight is proven to be more effective at boosting one’s immune response than what can be gained from a flu shot.”
Vitamin D helps fend off flu, asthma attacks: study
Vitamin D supplementation to prevent acute respiratory tract infections: systematic review and meta-analysis of individual participant data
Influenza “Flu” Vaccination – Hype or Help?
Note: From a public health point of view, flu epidemics spread rapidly and are very difficult to control. Most influenza virus strains are not very infectious and each infected individual will only go on to infect one or two other individuals (the basic reproduction number for influenza is generally around 1.4). However, the generation time for influenza is extremely short: the time from a person becoming infected to when he infects the next person is only two days. The short generation time means that influenza epidemics generally peak at around 2 months and burn out after 3 months. The decision to intervene in an influenza epidemic, therefore, has to be taken early, and the decision is therefore often made on the back of incomplete data. Another problem is that individuals become infectious before they become symptomatic, which means that putting people in quarantine after they become ill is not an effective public health intervention. For the average person, viral shedding tends to peak on day two, whereas symptoms peak on day three.
Impact of Influenza Vaccination on Seasonal Mortality in the US Elderly Population
Journal of the American Medical Association (JAMA) 2005
Background: Influenza vaccination coverage among elderly persons (≥65 years) in the United States increased from between 15% and 20% before 1980 to 65% in 2001. Unexpectedly, estimates of influenza-related mortality in this age group also increased during this period.
Conclusions: We attribute the decline in influenza-related mortality among people aged 65 to 74 years in the decade after the 1968 pandemic to the acquisition of immunity to the emerging A(H3N2) virus. We could not correlate increasing vaccination coverage after 1980 with declining mortality rates in any age group. Because fewer than 10% of all winter deaths were attributable to influenza in any season, we conclude that observational studies substantially overestimate vaccination benefit.
Influenza: Marketing Vaccine By Marketing Disease
British Journal of Medicine (BJM) 2013
Author: Peter Doshi is an associate editor at The BMJ and assistant professor of pharmaceutical health services at the University of Maryland. His research focuses on policies related to drug safety and effectiveness evaluation in the context of regulation and evidence synthesis. He is an advocate for greater public access to clinical trial data. Dr. Doshi also has strong interests in journalism as a vehicle for encouraging better practice and improving the research enterprise. Since 2009, Dr. Doshi has worked with a team that sifted through around 150,000 pages of internal company documents to evaluate the safety and effectiveness of anti-influenza drugs like Tamiflu.
The CDC pledges “To base all public health decisions on the highest quality scientific data, openly and objectively derived.” But Peter Doshi argues that in the case of influenza vaccinations and their marketing, this is not so
If the observational studies cannot be trusted, what evidence is there that influenza vaccines reduce deaths of older people—the reason the policy was originally created? Virtually none. Theoretically, a randomized trial might shine some light—or even settle the matter. But there has only been one randomized trial of influenza vaccines in older people—conducted two decades ago—and it showed no mortality benefit (the trial was not powered to detect decreases in mortality or any complications of influenza). This means that influenza vaccines are approved for use in older people despite any clinical trials demonstrating a reduction in serious outcomes. Approval is instead tied to a demonstrated ability of the vaccine to induce antibody production, without any evidence that those antibodies translate into reductions in illness.
Reporting Flu Vaccine Science
British Journal of Medicine (BJM) 2018
Official doubletalk hides serious problems with flu shot safety and effectiveness
After weeks of brooding about the Donahue article linking flu shots to miscarriages (Association of spontaneous abortion with receipt of inactivated influenza vaccine containing H1N1pdm09 in 2010–11 and 2011–12) it was with a sense of relief that I read Rob Wipond’s narrative of media attempts to sweep a serious vaccine safety issue under the rug….He points out the hypocrisy (his words were “double standard”) of authorities who dismissed the Donahue paper because it was an “observational study.” Year after year they have quoted observational studies to announce, “…80% vaccine effectiveness…60% effectiveness…40% effectiveness…” They do not mention that these studies make no effort to look for adverse vaccine effects (e.g. narcolepsy, seizures, high fever, oculorespiratory syndrome). They do not mention “negative vaccine effectiveness”, the increase in risk of illness from influenza and non-influenza viruses associated with (or caused by) the vaccines. (Increased Risk of Noninfluenza Respiratory Virus Infections Associated With Receipt of Inactivated Influenza Vaccine) They do not mention that a vaccine “effective” in one season may increase influenza risk in a subsequent season. (Read about “antibody-dependent enhancement” to understand one explanatory mechanism). They do not mention that the observational studies they refer to are likely to exaggerate vaccine effectiveness in the first place because of the “healthy user effect” well known to epidemiologists.
Some history: 1960 Nobel Laureate and a primary developer of today’s influenza vaccine, Macfarlane Burnet, didn’t think it was worth much. (Br J Path 1936:17:282. Natural History of Infectious Disease 1972, page212)….In 2000 Kenneth McIntosh warned that we should not routinely give influenza vaccine to healthy children until multicenter randomized trials were done over several seasons to be sure that it was safe and effective. (Editorial, NEJM 2000;342:225) His advice was ignored….In 2004 a “Seven-Step Recipe” for using the media to boost demand for the vaccine was presented to the National Influenza Vaccine Summit, sponsored by the CDC and the AMA. The recipe included, “…statements of alarm by public health authorities…prediction of dire outcomes from influenza…continued reports that influenza is causing severe illness affecting lots of people…repeated urging of influenza vaccination…” (Doshi, BMJ 2005;331:1419)
Impact Of Influenza Vaccination On Healthcare Utilization – A Systematic Review
The Journal Vaccine 2019
Methods: We searched MEDLINE, EMBASE, CINAHL, Cochrane Library and considered any seasonal influenza vaccine, excluding the pandemic (2009–10 season) vaccine. Reviewers independently assessed data extraction and quality assessment.
Results: Of the 8308 citations retrieved, 22 studies were included in the systematic review. Overall, two studies (9%) were deemed at moderate risk of bias, thirteen (59%) at serious risk of bias and seven (32%) at critical risk of bias. For outpatient visits, we found modest evidence of protection by the influenza vaccine. For all-cause hospitalization outcomes, we found a wide range of results, mostly deemed at serious risk of bias. The included studies suggested that the vaccine may protect older adults against influenza hospitalizations and cardiovascular events. No article meeting our inclusion criteria explored the use of antibiotics and influenza-like illness (ILI) hospitalizations. The high heterogeneity between studies hindered the aggregation of data into a meta-analysis.
Conclusion: The variability between studies prevented us from drawing a clear conclusion on the effectiveness of the influenza vaccine on healthcare utilization in older adults. Overall, the data suggests that the vaccine may result in a reduction of healthcare utilization in the older population. Further studies of higher quality are necessary.
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