Classification bias and impact of COVID-19 vaccination on all-cause mortality: the case of the Italian region Emilia-Romagna

Real-world studies on vaccine effectiveness may suffer from several biases, typically distorting their results. A previous article on the population of an Italian province, correcting the "immortal time bias", showed worse results for the all-cause death of the vaccinated compared to the unvaccinated. This article highlights the "case counting window bias", that considers the vaccine recipients "unvaccinated" usually for 14 days, a time interval reputed necessary to express the vaccine immune response. We aim to document this bias in an Italian region, calculating the daily death incidence for each age class of vaccinated and unvaccinated and checking their all-cause mortality difference within the considered time window. Indeed, in this window the two groups showed huge differences in all-cause deaths, that cannot be attributed only to COVID-19 deaths (in the absence of reasons to expect significant vaccine effects on non-COVID-19 deaths). In conclusion, analyzing the data of an Italian Region, we found evidence of the 'case counting window bias', which artificially increases the 'unvaccinated' mortality and reduces the mortality in the vaccinated.

Authors

Institutions

Publication Details

Journal
Autoimmunity
Published
2025-11-03
DOI
https://doi.org/10.1080/08916934.2025.2562972
Citations
2
Primary Topic
SARS-CoV-2 and COVID-19 Research
Type
article
Field-Weighted Citation Impact
2.79
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Classification bias and impact of COVID-19 vaccination on all-cause mortality: the case of the Italian region Emilia-Romagna

Marco Alessandria, Alberto Donzelli, Giovanni Malatesta, Panagis Polykretis et al.
2 citations
Autoimmunity
SARS-CoV-2 and COVID-19 Research
2.79
article

Classification bias and impact of COVID-19 vaccination on all-cause mortality: the case of the Italian region Emilia-Romagna

Marco Alessandria, Alberto Donzelli, Giovanni Malatesta, Panagis Polykretis, Giovanni Trambusti
article en
2 citations

Abstract

Real-world studies on vaccine effectiveness may suffer from several biases, typically distorting their results. A previous article on the population of an Italian province, correcting the "immortal time bias", showed worse results for the all-cause death of the vaccinated compared to the unvaccinated. This article highlights the "case counting window bias", that considers the vaccine recipients "unvaccinated" usually for 14 days, a time interval reputed necessary to express the vaccine immune response. We aim to document this bias in an Italian region, calculating the daily death incidence for each age class of vaccinated and unvaccinated and checking their all-cause mortality difference within the considered time window. Indeed, in this window the two groups showed huge differences in all-cause deaths, that cannot be attributed only to COVID-19 deaths (in the absence of reasons to expect significant vaccine effects on non-COVID-19 deaths). In conclusion, analyzing the data of an Italian Region, we found evidence of the 'case counting window bias', which artificially increases the 'unvaccinated' mortality and reduces the mortality in the vaccinated.

AutoimmunityVol. 58(1)
National Engineering and Scientific Commission (PK), Università degli Studi eCampus (IT), Health Foundation (GB), University of Turin (IT)
Openalex Percentile: Top 8%
SARS-CoV-2 and COVID-19 Research
2.79
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Classification bias and impact of COVID-19 vaccination on all-cause mortality: the case of the Italian region Emilia-Romagna — Marco Alessandria, Alberto Donzelli, et al. · Autoimmunity (2025) | TGRS Research Map | TGRS