Excess Mortality Methodology reports. Folow the link to download our reports for the US and UK.
Excess Mortality Analysis for the USA. Follow the links to visualise our interactive analysis.
USA - Yearly Analysis USA - Quarterly Analysis USA - Weekly Analysis
Excess Mortality Analysis for the UK. Follow the links to visualise our interactive analysis.
UK - Yearly Analysis UK - Quarterly Analysis UK - Weekly AnalysisExcess Mortality Analysis for European Countries. Follow the links to visualise our interactive analysis.
Europe - Yearly Analysis Europe - Quarterly Analysis Europe - Weekly AnalysisExcess Mortality Analysis for Germany. We decided to separate the analysis of excess mortality for Germany from the rest of Europe as its data published on Eurostat has different age groups, as well as vaccination data. Follow the links to visualise our interactive analysis.
Germany - Yearly Analysis Germany - Quarterly Analysis Germany - Weekly Analysis
Excess Mortality Analysis for Australia. Follow the links to visualise our interactive analysis.
Australia - Yearly Analysis Australia - Quarterly Analysis Australia - Weekly Analysis
Excess Mortality Analysis for Ireland. Follow the links to visualise our interactive analysis.
The analysis of disabilities is split into 7 parts that can be read independently but are related and complement each other. Each section is written in a different web page within which at the top the user can find the links to navigate to the other sections. The 7 parts are:
Part 1 - Overview of the Data.
Go to Part 1
This part provides the overall description of the data and shows the historical time series of disability rates for different population cohorts and age groups. It allows us to put in perspective the changes in disability rates, that started in 2021.
Part 2 - Rise in disabilities from 2021.
Go to Part 2
This part provides a detailed examination of the changes in disabilities that ocurred from early 2021, which coincided with the vaccine rollouts.
Part 3 - Relationship with Vaccine uptake.
Go to Part 3
This part analyses the relationship between the rise in disabilities with the Covid-19 vaccine rollout.
Part 4 - Relationship with Excess Deaths.
Go to Part 4
This part investigates the relationship between excess mortality and the rise in disabilities that ocurred since early 2021. It also provides us with an estimate of how many disabilities occurred for each excess death, during the period.
Part 5 - Relationship with SAEs in mRNA clinical trials
Go to Part 5
This part investigates the relationship between Serious Adverse Events (SAEs) from the mRNA clinical trials with the rise in disabilities that ocurred since early 2021.
Part 6 - Relationship with Severe AEs in Pfizer vaccine clinical trial
Go to Part 6
This part investigates the relationship between Adverse Events (AEs) and Severe Adverse Events (Sev AEs) from the Pfizer clinical trial with the rise in disabilities that ocurred since early 2021.
Part 7 - Relationship with Hospitalisations following vaccination reported in V-Safe
Go to Part 7
This part investigates the relationship between hospitalisation events obtained from the V-Safe app with the rise in disabilities that ocurred since early 2021. It also compares the time series of hospitalisation events with the time series of Adverse Events (AEs) and Severe Adverse Events (Sev AEs) from the Pfizer clinical trial.
This project investigates the trends in absence and lost worktime rates for full time workers in the US. The data comprises of annual averages, as published by the US Bureau of Labor Statistics (BLS).
Part 1 - Overview of the data
Go to Part 1
This part provides the overall description of the data and shows the historical time series of absence rates and number of full time workers for different age groups, gender, and causes of absence rates. It allows us to put in perspective the analysis of the changes in absence and lost worktime rates, that we observe from 2020 onwards.
Part 2 - Analysis of Absence rates
Go to Part 2
This part provides a detailed examination of the changes in absence rates that ocurred from 2020 onwards. In particular, we analyse the deviation in absence rates from the 2002-2019 pre-pandemic trend, both in absolute terms and relative terms.
Part 3 - Analysis of Lost Worktime rates
Go to Part 3
This part provides a detailed examination of the changes in lost worktime rates that ocurred from 2020 onwards. We analyse the deviation in lost worktime rates from the 2002-2019 pre-pandemic trend, both in absolute terms and relative terms.
The analysis of causes of death using the US CDC Wonder database is aimed at expanding our work into an additional dimension. The cause of death data provides a level of granularity that allows different studies to be performed, that will provide insights into the Covid-19 pandemic trends in deaths in the US. These insights will allow futher questions to be asked.
US Neoplasm deaths, ages 15-44
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Analysis of trends in neoplasm death rates, for ages 15 to 44 in the US. Our analysis points towards a strong signal in neoplasm UC death rates, starting in 2021 and rising further in 2022. Males are shown to be more impacted than females.
US Neoplasm deaths, all ages and detailed analysis of 75-84 age group.
COVID-19 over-reporting as Underlying Cause of Death.
The analysis of causes of death using the UK ONS database is aimed at expanding our work into an additional dimension. The cause of death data provides a level of granularity that allows different studies to be performed, that will provide insights into the Covid-19 pandemic trends in deaths.
UK Cardiovascular deaths and disabilities, ages 15-44
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The analysis of Cardiovascular deaths in the UK for ages 15 to 44 investigates the trends in cardiovascular deaths which seem to be occurring anecdotally in the population, from 2021. Our analysis points towards a very strong signal in increased deaths and disabilities from cardiovascular causes, which confirms the anecdotes.
UK Cardiovascular deaths, ages 15-44. Analysis of individual causes
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Investigation of trends in the most common individual causes of cardiovascular deaths in the UK for ages 15 to 44. This analysis explores deaths related to the cardiovascular system with more granularity.
UK Malignant Neoplasm deaths, ages 15-44
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The analysis of malignant neoplasm deaths in the UK for ages 15 to 44 investigates the trends in malignant neoplasm deaths and disabilities which seem to be occurring anecdotally in the population, from 2021. Our analysis points towards a very strong signal in increased deaths and disabilities from cancers, particularly in 2022.
UK Malignant Neoplasm deaths, ages 15-44 - Individual Causes
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Investigates the most common individual malignant neoplasm deaths in the UK for ages 15 to 44. Provides a detailed analysis of trends in death rates for individual cancers of special interest.
UK Neurological deaths and disabilities, ages 15-49.
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The analysis of neurological deaths in the UK for ages 15 to 49 investigates the trends in neurological deaths and disabilities which seem to be occurring anecdotally in the population, from 2021. Our analysis points towards a very strong signal in increased deaths and disabilities from neurological diseases, particularly in 2022.
The analysis of disabilities in the UK is based on investigation of the Personal Independence Pension (PIP) program by the Department of Work and Pensions (DWP) in the UK. The data is monthly and provides a level of granularity that allows different studies to be performed, such as analysis by age group, sex, and underlying cause for the claim. We are currently working on the different aspects of the data analysis which will be rolled out on our website as it is completed.
UK Personal Independence Payments report.
Go to PIP Analysis
This report outlines the monthly patterns in disability payments throughout the COVID-19 pandemic. We show that a substantial increase in PIP applications and new PIP entitlements occurred shortly after the beginning of 2021 which cannot be explained by changes in the size of the working-age population, nor by a decrease in the percentage of PIP applications that are rejected.
Analysis of PIP Clearances (New Claims) by Body System (associated to the underlying cause for the claim).
Go to PIP - Body Systems
This part provides an examination of the changes in disabilities in the UK (PIP claims) by the different body system classification that are associated to the underlying cause for the claim.
Analysis of PIP Clearances (New Claims) by Underlying Cause.
Go to PIP - Underlying Causes
This part provides an examination of the changes in disabilities in the UK (PIP claims) by underlying cause and for different population age groups.
Review of Korean population-based papers that corroborate the PIP analysis.
Go to paper review
We review 3 population-based studies from South Korea that show a relationship between the Covid-19 vaccinations and subsequent diverse non-fatal adverse events. The main author for the three papers is Eun Mi Chun, who, with access to the population dataset analysed incidence rates of different non-fatal health conditions from the date of the Covid-19 innoculation. The authors compare the incidence rates for the different conditions in vaccinanted versus un-vaccinated individuals, up to 12 weeks prior the innoculation date. The results were published in three different papers as they investigated different types of adverse events.
This analysis is a part of the V-Damage project for the UK. We explore two different datasets which are the ONS data on absence and lost worktime rates for the overall UK population; and the NHS data on absence rates from sickness. The analysis of these independent datasets allow us to have a higher certainty of the conclusions of the observed patterns.
This project investigates the trends in absence and lost worktime rates for full time workers in the UK. The data comprises of annual averages, as published by the UK Office for National Statistics (ONS).
UK ONS Absence Rates Analysis
This project investigates the trends in absence rates from sickness by staff in the NHS system in England. The data is monthly, with granularity on the type of staff work, region in England as well as the underlying reason for sickness, published by NHS digital. The preliminary research available below focuses on overall trends, and an expanded project will analyse the data in the different available dimensions.
UK NHS Sickness Absence Rates Analysis
Link to interactive data for this project:
UK NHS Sickness Absence Rates Analysis - Interactive Data
We perform a review of the peer reviewed paper, published on 10/2023 in the International Journal of Vaccine Theory, Practice, and Research, that provides a forensic analysis of the BNT162b2 mRNA clinical trials and the timeline of released documents and up to the 6 month mark (after the unblinding), in March 2021.
The excess mortality rate for cardiovascular diseases were already associated to the Covid-19 vaccinations as there was already a clear signal during the Pfizer clinical trials. In their recent paper Michels et. al., provide a forensic analysis of the BNT162b2 mRNA clinical trials, showing that in the clinical trials, after 6-months, 12 subjects died of a cardiac event, 9 of whom were vaccinated and 3 unvaccinated.
Our review of the paper is significant in the context of our work on the analysis of cause of death, as it establishes a direct link between our
analysis of deaths due to cardiovascular events in the UK, that uses data from the UK Office for National Statistics (ONS) and the original phase III clinical trials for the Covid-19 mRNA vaccines.
This project comprises of the review of the peer reviewed paper, published in Vaccine Journal on 9/2022, that investigates the Serious Adverse Events (SAE) in the Pfizer and Moderna clinical trials prior to the unblinding of the participants.
Our review of the paper is important to the context of our V-Damage project as it establishes a direct link between our analysis of disabilities (using the BLS data) and the original phase III clinical trials for the Covid-19 mRNA vaccines.
Analysis of the VSAFE database for monitoring Covid-19 vaccine events. Follow the links to visualise our analysis VSAFE data, with external collaboration.
Go to Part 1 - Description of the Database.
Go to Part 2 - Overview of the Data.
Go to Part 3 - Analysis of the Hospitalisations.
We provide some academic references that we think are of particular interest for understanding the damage related to the Covid-19 vaccines. The list is not exaustive as there are now numerous papers that show the detrimental impacts of the vaccines. We focus here on papers that are directly related to our work in mapping out the human damage that is likely caused by the novel innoculations. Some of these papers are still in pre-print format as they are awaiting peer review.
Analysis of the UK Yellow Card early warning system for vaccine injury.