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
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Bibliography
Alegria, C. (2023). Uk cause of death project-death and disability trends, ages 15-44: Cadiovascular diseases. Phinance Technologies Report.
Barros, J. M., Melia, R., Francis, K., Bogue, J., O'Sullivan, M., Young, K., Bernert, R. A., Rebholz-Schuhmann, D., and Duggan, J. (2019). The validity of google trends search volumes for behavioral forecasting of national suicide rates in ireland. Int J Environ Res Public Health.
Beattie, K. (2021). Worldwide bayesian causal impact analysis of vaccine administration on deaths and cases associated with covid-19: A bigdata analysis of 145 countries. DOI: 10.13140/RG.2.2.34214.65605.
Bellot, P. and Meyer, P. E. (2015). Efficient combination of pairwise feature networks. Proceedings of Machine Learning Research, Neural Connectomics Challenge.
Benn, C. S., Schaltz-Buchholzer, F., Nielsen, S., Netea, M. G., and Aaby, P. (2022). Randomised clinical trials of covid-19 vaccines: Do adenovirus-vector vaccines have beneficial non-specific effects? Preprints with THE Lancet. DOI: 10.2139/ssrn.4072489.
Bilinski, A., Thompson, K., and Emanuel, E. (2022). Covid-19 and excess all-cause mortality in the us and 20 comparison countries, june 2021-march 2022. Jama.
Bontempi, G. and Meyer, P. E. (2010). Causal filter selection in microarray data. In Proceedings of the 27 th International Conference on Machine Learning (ICML2010).
Bureau, M., Annemans, L., Caruso, F., Cotton, C., Delree, C., Doat, D., Fallon, C., Goareguer, F., Longneaux, J.-M., Meyer, P. E., Mucchielli, L., Paul, E., Rentier, B., Rosenzweig, M., Thirion, N., Wathelet, M., and M.Zizi (2022). COVID19 Crise Sanitaire? Crise Sociétale? Medicatrix.
Chaillot, P. (2023). COVID19 ce que révèlent les chiffres officiels. L'Artilleur.
Doshi, P., Godlee, F., and Abbasi, K. (2022). Covid-19 vaccines and treatments: we must have raw data, now. BMJ.
Dugas, A. F., Jalalpour, M., Gel, Y., Levin, S., Torcasso, F., Igusa, T., and Rothman, R. E. (2013). Influenza forecasting with google flu trends. Plos One.
Fenton, N. E., Neill, M., and McLachlan, S. (2021). Paradoxes in the reporting of covid19 vaccine effectiveness: Why current studies (for or against vaccination) cannot be trusted and what we can do about it. DOI: 10.13140/RG.2.2.32655.30886.
Gamma, A., Schleifer, R., Weinmann, W., Buadze, A., and Liebrenz, M. (2016). Could google trends be used to predict methamphetamine-related crime? an analysis of search volume data in switzerland, germany, and austria. Plos One.
GoogleTrends (2022). Data source: Google trends, https://www.google.com/trends.
Jones, R. and Ponomarenko, A. (2023). Effect of age, sex, and covid-19 vaccination history on all-cause mortality: Unexpected outcomes in a complex biological and social system. https://doi.org/10.20944/preprints202304.0248.v1.
Kuhbandner, C. and Reitzner, M. (2022). Excess mortality in germany 2020-2022. DOI: 10.13140/RG.2.2.27319.19365.
Liu, J.-Y., Chen, T.-J., and Hou, M.-C. (2021). Does covid-19 vaccination cause excess deaths? Journal of Chinese Medical Association.
Macchia, A., Ferrante, D., and et al., P. A. (2021). Evaluation of a covid-19 vaccine campaign and sars-cov-2 infection and mortality among adults aged 60 years and older in a middle-income country. JAMA Network Open.
Mansanguan, S., Charunwatthana, P., Piyaphanee, W., Dechkhajorn, W., Poolcharoen, A., and Mansanguan, C. (2022). Cardiovascular manifestation of the bnt162b2 mrna covid-19 vaccine in adolescents. Tropical Medicine and Infectious Disease.
Meyer, P. E. (2021). The impact of covid-19 vaccines on all-cause mortality in eu in 2021: a machine-learning perspective. DOI: 10.13140/RG.2.2.16851.71205.
Meyer, P. E. (2023). covidwebpage: http://www.bioinfo.uliege.be/meyer/covid.html.
Nafilyan, V., Bermingham, C. R., and et al, I. L. W. (2023). Risk of death following covid-19 vaccination or positive sars-cov-2 test in young people in england. Nature Communications.
Neil, M. and Fenton, N. (2021). Latest statistics on england mortality data suggest systematic mis-categorisation of vaccine status and uncertain effectiveness of covid-19 vaccination. DOI:10.13140/RG.2.2.14176.20483.
Ohanna, S. and Henrion-Claude, A. (2021). Young adult mortality in israel during the covid-19 crisis. DOI: 10.32388/GWSU6U.
ONISR (2022). Observatoire national interministériel de la sécurité routière.
Pantazatos, S. and Seligmann, H. (2021). Covid vaccination and age-stratified all-cause mortality risk. DOI:10.13140/RG.2.2.28257.43366.
Parry, P. I., Lefringhausen, A., Turni, C., Neil, C. J., Cosford, R., Hudson, N. J., and Gillespie, J. (2023). 'spikeopathy': Covid-19 spike protein is pathogenic, from both virus and vaccine mrna. Biomedicines.
Pezzullo, A. M., Axfors, C., Contopoulos-Ioannidis, D. G., Apostolatos, A., and Ioannidis, J. P. A. (2023). Age-stratified infection fatality rate of covid-19 in the non-elderly population. Environ Res.
Rancourt, D. G., Baud, M., Hickey, J., and Mercier, J. (2023). Covid-19 vaccineassociated mortality in the southern hemisphere. DOI: 10.13140/RG.2.2.24720.79366.
Redert, A. (2022). Covid-19 vaccinations and all-cause mortality-a long-term differential analysis among municipalities. DOI: 10.13140/RG.2.2.33994.85447.
Scholey, J., Aburto, J. M., Kashnitsky, I., Kniffka, M. S., Zhang, L., Hannaliis, J., Dowd, J. B., and Kashyap, R. (2022). Life expectancy changes since covid-19. Nature Human Behavior.
Sun, C. L. F., Jaffe, E., and Levi, R. (2022). Increased emergency cardiovascular events among under-40 population in israel during vaccine rollout and third covid-19 wave. Nature Reports.
Sy, W. (2023). Australian covid-19 pandemic: A bradford hill analysis of iatrogenic excess mortality. Journal of Clinical and Experimental Immunology.
Tuvali, O., Tshori, S., Derazne, E., Hannuna, R. R., Afek, A., Haberman, D., Sella, G., and George, J. (2022). The incidence of myocarditis and pericarditis in post covid-19 unvaccinated patients-a large population-based study. Journal of Clinical Medecine.
Watson, O. J., Barnsley, G., Toor, J., Hogan, A. B., Winskill, P., and Ghani, A. C. (2022). Global impact of the first year of covid-19 vaccination: a mathematical modelling study. The Lancet Infection Diseases.
Xu, S., Huang, R., Sy, L. S., Glenn, S. C., and et al. (2021). Covid-19 vaccination and non-covid-19 mortality risk. MMWR Early Release._conversion
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