Version 1
: Received: 10 January 2023 / Approved: 12 January 2023 / Online: 12 January 2023 (02:22:26 CET)
Version 2
: Received: 25 January 2023 / Approved: 26 January 2023 / Online: 26 January 2023 (03:53:33 CET)
Version 3
: Received: 11 February 2023 / Approved: 13 February 2023 / Online: 13 February 2023 (04:27:07 CET)
Version 4
: Received: 14 February 2023 / Approved: 15 February 2023 / Online: 15 February 2023 (03:34:32 CET)
Version 5
: Received: 19 February 2023 / Approved: 20 February 2023 / Online: 20 February 2023 (04:10:20 CET)
Version 6
: Received: 26 February 2023 / Approved: 27 February 2023 / Online: 27 February 2023 (07:51:58 CET)
Version 7
: Received: 13 March 2023 / Approved: 14 March 2023 / Online: 14 March 2023 (06:35:57 CET)
Šorli, Amrit & Makovec, Tomaž & Krevel, Zivan & Gorjup, Rado. (2023). Quality in Primary Care Forgotten "Primum Non Nocere" and Increased Mortality after COVID-19 Vaccination. 31. 10.36648/1479-1064.23.31.003.
Šorli, Amrit & Makovec, Tomaž & Krevel, Zivan & Gorjup, Rado. (2023). Quality in Primary Care Forgotten "Primum Non Nocere" and Increased Mortality after COVID-19 Vaccination. 31. 10.36648/1479-1064.23.31.003.
Šorli, Amrit & Makovec, Tomaž & Krevel, Zivan & Gorjup, Rado. (2023). Quality in Primary Care Forgotten "Primum Non Nocere" and Increased Mortality after COVID-19 Vaccination. 31. 10.36648/1479-1064.23.31.003.
Šorli, Amrit & Makovec, Tomaž & Krevel, Zivan & Gorjup, Rado. (2023). Quality in Primary Care Forgotten "Primum Non Nocere" and Increased Mortality after COVID-19 Vaccination. 31. 10.36648/1479-1064.23.31.003.
Abstract
Background The main reason for the worldwide massive covid vaccination in 2021 was to reduce the high mortality caused by the Covid-19 virus in 2020. It is time that in 2022 a rigorous analysis is done of the effectiveness of this massive vaccination. Methods In statistics, we have an accurate methodology to measure the impact of massive vaccination on public health. The mathematical relation between vaccinated/alive groups will be repeated between vaccinated/dead groups with high statistical certainty. This occurs because we are dealing with big numbers. Results Calculations were done for five periods of four weeks: weeks 35-38 (2021), weeks 39-42 (2021), weeks 43-46 (2031), weeks 47-50 (2021), and weeks 51(2021)-2(2022). Obtained results are confirming that the mortality of the vaccinated infected groups is higher on average by 14.5% than the mortality of non-vaccinated infected groups. Conclusions Results are suggesting the extension of the statistic between the vaccinated/alive group and the vaccinated/dead group for different age groups. These statistics will have higher statistical significance because of the elimination of the Simpson effect. Calculating the exact impact of covid-19 vaccination on the mortality rate is the necessary step to satisfy the first principle of medicine: “Primum non nocere”.
Keywords
Covid-19 vaccination; death rate; sick status days
Subject
Public Health and Healthcare, Public Health and Health Services
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
(Click to see Publons profile: )
The commenter has declared there is no conflict of interests.
Comment:
Dear Dr Sorli,1. This form of computation of excess deaths using the population as static number across time is problematic. A population count changes across weeks depicted in the analysis. Given the variations in deaths and possible births across weeks, it would not be appropriate to use a static head count. COMMENT It is not problematic because we used the method for a time of 4 weeks. 2. Secondly, while deaths have occurred among those vaccinated and infected, one cannot attribute the deaths only to vaccination. COMMENT Yes, this is true, but also non-vaccinated infected could die because of some other reason. Both groups live under the same life conditions. 3. While the mathematical exercise rightly assumes that deaths should not vary across those vaccinated and not-vaccinated, mortality due to COVID was not uniform across both these groups. COMMENT This is not true. Because both groups have big numbers the impact of COVID on death in both groups is the same. And this comment is not the right assumption because we calculated the impact of the vaccination on the group of infected vaccinated people. The proportional numbers we got are always smaller than the statistical numbers. This is strong proof that vaccines are increasing the death rate. 4. Therefore, attributing the deaths among those vaccinated entirely to vaccines without adjusting for mortality due to COVID would be erroneous. This renders the analysis inaccurate and not tenable. This is not true.
Commenter:
The commenter has declared there is no conflict of interests.