The Mirror of Erised: a retrospective population-wide study of Czech all-cause mortality data by COVID-19 vaccination status

Abstract Background In this study, we investigated the association between COVID-19 vaccination status and all-cause mortality (ACM) rate in the population of the Czech Republic between January 2020 and December 2022. Methods In this retrospective study based on official population-wide individual (...

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Main Authors: Ondrej Vencalek, Tomas Furst, Elizabeth Princova, Jana Furstova
Format: Article
Language:English
Published: BMC 2025-07-01
Series:BMC Public Health
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Online Access:https://doi.org/10.1186/s12889-025-23619-x
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author Ondrej Vencalek
Tomas Furst
Elizabeth Princova
Jana Furstova
author_facet Ondrej Vencalek
Tomas Furst
Elizabeth Princova
Jana Furstova
author_sort Ondrej Vencalek
collection DOAJ
description Abstract Background In this study, we investigated the association between COVID-19 vaccination status and all-cause mortality (ACM) rate in the population of the Czech Republic between January 2020 and December 2022. Methods In this retrospective study based on official population-wide individual (record-level) data, we analyzed monthly ACM rates stratified by COVID-19 vaccination status, sex, and age. The ACM was compared to expected mortality based on pre-COVID data. The recipients of the Janssen vaccine were excluded from the study. The final dataset comprised N = 5,636,949 individuals from the Czech Republic, encompassing all residents born between 1925 and 1980 who were alive on January 1, 2020. Results Multiple peculiar patterns in ACM were revealed. The ACM of vaccinated individuals across several age cohorts was greatly diminished compared to the ACM of the unvaccinated, even in periods when virtually no COVID-19-related deaths were observed, suggesting a strong selection/indication bias. A similar drop in the ACM of newly vaccinated individuals was observed again during the booster campaign. With time from vaccination, the differences in ACM between groups with different vaccination statuses dwindled. Indication bias was observed at the beginning of the vaccination campaign when the frailest individuals were preferentially vaccinated. Conclusions The population-wide data strongly suggest the presence of selection/indication bias, warranting careful interpretation of vaccination effectiveness estimates derived from observational studies.
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spelling doaj-art-03eca5f5fcff47ddb8361f1e2fe4515c2025-08-20T03:06:31ZengBMCBMC Public Health1471-24582025-07-012511810.1186/s12889-025-23619-xThe Mirror of Erised: a retrospective population-wide study of Czech all-cause mortality data by COVID-19 vaccination statusOndrej Vencalek0Tomas Furst1Elizabeth Princova2Jana Furstova3Department of Mathematical Analysis and Application of Mathematics, Faculty of Science, Palacký University OlomoucDepartment of Mathematical Analysis and Application of Mathematics, Faculty of Science, Palacký University OlomoucOlomouc University Social Health Institute, Sts Cyril and Methodius Faculty of Theology, Palacký University OlomoucOlomouc University Social Health Institute, Sts Cyril and Methodius Faculty of Theology, Palacký University OlomoucAbstract Background In this study, we investigated the association between COVID-19 vaccination status and all-cause mortality (ACM) rate in the population of the Czech Republic between January 2020 and December 2022. Methods In this retrospective study based on official population-wide individual (record-level) data, we analyzed monthly ACM rates stratified by COVID-19 vaccination status, sex, and age. The ACM was compared to expected mortality based on pre-COVID data. The recipients of the Janssen vaccine were excluded from the study. The final dataset comprised N = 5,636,949 individuals from the Czech Republic, encompassing all residents born between 1925 and 1980 who were alive on January 1, 2020. Results Multiple peculiar patterns in ACM were revealed. The ACM of vaccinated individuals across several age cohorts was greatly diminished compared to the ACM of the unvaccinated, even in periods when virtually no COVID-19-related deaths were observed, suggesting a strong selection/indication bias. A similar drop in the ACM of newly vaccinated individuals was observed again during the booster campaign. With time from vaccination, the differences in ACM between groups with different vaccination statuses dwindled. Indication bias was observed at the beginning of the vaccination campaign when the frailest individuals were preferentially vaccinated. Conclusions The population-wide data strongly suggest the presence of selection/indication bias, warranting careful interpretation of vaccination effectiveness estimates derived from observational studies.https://doi.org/10.1186/s12889-025-23619-xAll-cause mortalityCOVID-19Vaccination statusIndividual-level dataHealthy vaccinee effectHealthy user bias
spellingShingle Ondrej Vencalek
Tomas Furst
Elizabeth Princova
Jana Furstova
The Mirror of Erised: a retrospective population-wide study of Czech all-cause mortality data by COVID-19 vaccination status
BMC Public Health
All-cause mortality
COVID-19
Vaccination status
Individual-level data
Healthy vaccinee effect
Healthy user bias
title The Mirror of Erised: a retrospective population-wide study of Czech all-cause mortality data by COVID-19 vaccination status
title_full The Mirror of Erised: a retrospective population-wide study of Czech all-cause mortality data by COVID-19 vaccination status
title_fullStr The Mirror of Erised: a retrospective population-wide study of Czech all-cause mortality data by COVID-19 vaccination status
title_full_unstemmed The Mirror of Erised: a retrospective population-wide study of Czech all-cause mortality data by COVID-19 vaccination status
title_short The Mirror of Erised: a retrospective population-wide study of Czech all-cause mortality data by COVID-19 vaccination status
title_sort mirror of erised a retrospective population wide study of czech all cause mortality data by covid 19 vaccination status
topic All-cause mortality
COVID-19
Vaccination status
Individual-level data
Healthy vaccinee effect
Healthy user bias
url https://doi.org/10.1186/s12889-025-23619-x
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