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 5 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 5 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.
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).
This analysis is a part of the V-Damage project for the UK.
This project comprises of the review of the peer reviewed paper, published in Vaccine Journal on 9/2022, thst 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.
Analysis of the VAERS early warning system for vaccine injury. This project is done with external collaboration.
Analysis of the UK Yellow Card early warning system for vaccine injury.
PHINANCE TECHNOLOGIES