Vaccine Adverse Event Reporting Databases
Australia AE Databases
Database of Adverse Event Notifications
Canada AE Databases
New Brunswick Adverse Event Reporting System
The New Brunswick Adverse Event Reporting System is a volunteer-driven website “determined to provide an accurate depiction of the Adverse events individuals have experienced as a result of the COVID-19 Vaccination Program.” All individuals submitting to the NBAERS sign Non-Disclosure Agreements. The database intends to use the data collected to offer “clear unbiased infographics and reports of what impact adverse reactions have had” in the Province of New Brunswick, Canada.1)
Canadian Adverse Events Following Immunization and Surveillance System (CAEFISS)
Health Canada (HC) and the Public Health Agency of Canada (PHAC) share the monitoring of the safety of vaccines in Canada. The Canadian Adverse Events Following Immunization Surveillance System (CAEFISS) is a federal, provincial and territorial (FPT) public health post-market vaccine safety surveillance system. CAEFISS is managed by PHAC.
Immunization Monitoring Program ACTive (IMPACT)
IMPACT is a pediatric hospital-based national active surveillance network for adverse events following immunization, vaccine failures and selected infectious diseases that are, or will be, vaccine preventable.
IMPACT is administered by the Canadian Paediatric Society with funding from the Centre for Immunization and Respiratory Infectious Diseases at the Public Health Agency of Canada.
Canadian National Vaccine Safety Network (CANVAS)
Canada Vigilance Program
United States AE Databases
Vaccine adverse events databases are numerous in the United States, creating a great deal of confusion regarding their completeness.
Vaccine Adverse Events Reporting System
The Vaccine Adverse Events Reporting System (VAERS) is a partially public database of vaccine adverse events. The CDC has a page describing how and what to report to VAERS.
OpenVAERS was created by Elizabeth Willner to give a visual representation of basic VAERS statistics. https://openvaers.com/
“We built openVAERS because we wanted a way to browse reports and do simple searches on the data. Once we had that we decided to make it public.
Additionally, CDC/FDA/HHS provide no number surveys (like the UK Yellow Card system) to the general public. Users frequently make mistakes due to lack of understanding the underlying data when using the VAERS interface, and publish that, so VAERS becomes a source of 'misinformation.' OpenVAERS attempts to fill this gap by providing accurate numbers to the general public.”
Data Analysis & Manipulation Effects
Tommy's Podcast Published March 2, 2022 Dr. Jessica Rose & Matthew Crawford - VAERS, World Economic Forum, Quantum A.I. 2)
Defense Medical Epidemiology Database (DMED)
Letter to the The Honorable Lloyd J. Austin III Secretary Department of Defense from Senator Ron Johnston, dated February 1, 2022.
“Based on the data from the Defense Medical Epidemiology Database DMED, Renz reported that these whistleblowers found a significant increase in registered diagnoses on DMED for miscarriages, cancer, and many other medical conditions in 2021 compared to a five-year average from 2016-2020.”
Data from the Defense Medical Epidemiology Database (DMED) leaked by DoD whistleblowers show historic leap in adverse events for COVID-19 vaccines in DMED. Drs. Samuel Sigoloff, Peter Chambers, and Theresa Long. Department of Defense whistleblowers who downloaded a massive trove of unclassified data (to download the Excel file see the link “Data from the Defense Medical Epidemiology Database (DMED) shows”) 3) DMED uploaded to Wayback 4)
Please note - this is the scrubbed and de-identified HIPAA compliant) database derived from the Defense Medical Surveillance System (DMSS), which pulls directly from patient records and other US Department of Defense -related medical record information streams.
These data were pulled with full chain-of-custody documentation based on various CPT codes that are related to known genetic COVID-19 vaccine side effects.
Possible Criminality DMED Data Tampering
Regarding the Defense Medical Epidemiological Database Data Dump Database artifact, smoking gun, or something in between - February 5, 2022 by Dr. Robert Malone 5)6)
Based on this presentation dated 04 February, Slides 3 and 13 both indicate that Fauci and colleagues at the NIH are working with the DoD, and the data from the DMED database was being shared. This makes it VERY difficult to argue that Fauci did not know this data. It also makes it even harder to believe that, with all these agencies watching the same data, no one thought the historical data was incorrect until the whistleblowers sounded their alert.
Despite this, as the data entered the public sphere with the “second opinion” public Senate hearing convened by Senator Ron Johnson, the DoD saw fit to communicate with Politifact rather than the Senator, providing the following statement-
“But Peter Graves, spokesperson for the Defense Health Agency’s Armed Forces Surveillance Division, told PolitiFact by email that “in response to concerns mentioned in news reports” the division reviewed data in the DMED “and found that the data was incorrect for the years 2016-2020.”
Officials compared numbers in the DMED with source data in the DMSS and found that the total number of medical diagnoses from those years “represented only a small fraction of actual medical diagnoses.” The 2021 numbers, however, were up-to-date, giving the “appearance of significant increased occurrence of all medical diagnoses in 2021 because of the underreported data for 2016-2020,” Graves said.
The DMED system has been taken offline to “identify and correct the root-cause of the data corruption,” Graves said.”
As noted above, among the many curious aspects of this statement is that the CDC VaST has apparently been monitoring these data for years, and never identified this “data corruption” as an issue.
So, what do the original data show (prior to Defense Health Agency’s Armed Forces Surveillance Division correction of the “data corruption”)?
In reviewing these data, what we see are baseline data from 2016 to 2019 (pre SARS-CoV-2/COVID-19), 2020 (the first year of SARS-CoV-2/COVID-19 when no vaccines were available), and 2021 (the year that vaccines were available and mandated for the US Military).
As noted above, there are many potential confounding variables, but whatever the cause, if these data are not due to longstanding and previously undiscovered “data corruption”, then we have a major issue with the overall health of our armed services.
And if they are due to previously undiscovered “data corruption”, why wasn’t someone running around with their pants on fire trying to figure out what is going on here long before the whistleblowers brought this to national attention? Below are summarized 2021 (+ vaccine) numbers % change relative to 2020 (- vaccine)
Total Number of Diseases & Injuries Reported By Year (Ambulatory) down 3%
(this is basically a control for the data set, and contradicts the “data corruption” explanation).
Total Number of Diseases & Injuries Reported By Year (Hospitalization) up 37%
Total Number of Diseases of the Nervous System By Year up 968%
Total Number of Malignant Neuroendocrine Tumor Reports By Year up 276%
Total Number of Acute Myocardial Infarct Reports By Year up 343%
Total Number of Acute Myocarditis Reports By Year up 184%
Total Number of Acute Pericarditis Reports By Year up 70%
Total Number of Pulmonary Embolism Reports By Year up 260%
Total Number of Congenital Malformations Reports By Year up 87%
Total Number of Nontraumatic Subarachnoid Hemorrage Reports By Year up 227%
Total Number of Anxiety Reports By Year up 2,361%
Total Number of Suicide Reports By Year up 227%
Total Number of Neoplasms for All Cancers By Year up 218%
Total Number of Malignant Neoplasms for Digestive Organs By Year up 477%
Total Number of Neoplasms for Breast Cancer By Year up 469%
Total Number of Neoplasms for Testicular Cancer By Year up 298%
Total Number of Female Infertility Reports By Year up 419%
Total Number of Dysmenorrhea Reports By Year up 221.5%
Total Number of Ovarian Dysfunction Reports By Year up 299%
Total Number of Spontaneous Abortion Reports By Year DOWN by 10%
Total Number of Male Infertility Reports By Year up 320%
Total Number of Guillian-Bare Syndrome Reports By Year up 520%
Total Number of Acute Transverse Myelitis Reports By Year up 494%
Total Number of Seizure Reports By Year up 298%
Total Number of Narcolepsy & Cataplexy Reports By Year up 352%
Total Number of Rhabdomyolysis By Year up 672%
Total Number of Multiple Sclerosis Reports By Year up 614%
Total Number of Migraine Reports By Year up 352%
Total Number of Blood Disorder Reports By Year up 204%
Total Number of Hypertension (High Blood Pressure) Reports By Year up 2,130%
Total Number of Cerebral Infarct Reports By Year up 294%
United Kingdom's MHRA Yellow Card Scheme
https://yellowcard.mhra.gov.uk/
The Medicines and Healthcare products Regulatory Agency publishes a weekly report covering adverse reactions to approved COVID-19 vaccines
European Medicines Agency Pharmacovigilance System - EudraVigilance
To report a vaccine adverse event, refer to the Heads of Medicines Agencies (HMA) instructions of your national competent authority. https://www.adrreports.eu/en/national.html
Database access
Dashboard for reported Covid-19 vaccine side affects.
WHO System
VigiAccess was launched by the World Health Organization (WHO) in 2015 to provide public access to information in VigiBase, the WHO global database of reported potential side effects of medicinal products. Side effects – known technically as adverse drug reactions (ADRs) and adverse events following immunization (AEFIs) – are reported by national pharmacovigilance centres or national drug regulatory authorities that are members of the WHO Programme for International Drug Monitoring (PIDM). WHO PIDM was created in 1968 to ensure the safer and more effective use of medicinal products.
COVID Vaccine Injury Research
Scientific Publications & Case Reports ~ 1250+ Peer-Reviewed Publications
Neurologic | Pulmonary | Cardiovascular | Gastrointestinal | Renal | Oncology | Ophthalmology | Ear Nose and Throat | Autoimmune | MIS-V | Miscellaneous 7)