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All-cause Mortality During Covid-19 Vaccinations in European Active Populations
Meyer, Patrick; Chaillot, Pierre
2023In ICCBB 2023 - Proceedings of the 2023 7th International Conference on Computational Biology and Bioinformatics
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Keywords :
All-cause mortality; concordance statistics; Covid-19 vaccination; excess deaths; Concordance statistic; Google trends; Internet searches
Abstract :
[en] The question whether Covid-19 vaccination campaigns could have had an immediate negative impact on excess deaths continues to be debated two years later, in particular in the less than 45 years old. When the age-stratified (anonymized) vaccination status of deceased will be publicly available, the debate should come to an end. In the meantime, this paper provides three new statistical analyses that further shed light on the matter. Two of them connect the temporality of all-cause mortality data with injection data. Another analysis, using internet search trends, investigates possible alternative explanations. We deem that taken together, as it is done in this paper, those three analyses reinforce our previous conclusions suggesting caution when it comes to vaccinating/boosting young European populations.
Disciplines :
Life sciences: Multidisciplinary, general & others
Author, co-author :
Meyer, Patrick  ;  Université de Liège - ULiège > Département des sciences de la vie > Biologie des systèmes et bioinformatique ; Bioinformatics and Systems Biology Lab, Liege University, Belgium
Chaillot, Pierre ;  National Institute of Statistics and Economics Studies, Insee, France
Language :
English
Title :
All-cause Mortality During Covid-19 Vaccinations in European Active Populations
Publication date :
11 December 2023
Event name :
7th International Conference on Computational Biology and Bioinformatics
Event place :
Kuala Lumpur, Mys
Event date :
11-12-2023 => 12-12-2023
Audience :
International
Main work title :
ICCBB 2023 - Proceedings of the 2023 7th International Conference on Computational Biology and Bioinformatics
Publisher :
Association for Computing Machinery
ISBN/EAN :
9798400716331
Peer reviewed :
Peer reviewed
Available on ORBi :
since 25 March 2024

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