Statistical Information on COVID-19 Vaccines in Italy: Methodological Errors and Misleading Communication

<ns3:p>Background The statistical information on COVID-19 vaccines was disseminated in Italy by the institutional bodies responsible for producing and communicating health data. Policy and Implications The communication of statistical health data was affected by a series of errors of varying magnitude and severity, as well as by ambiguity and a lack of clarity. In some cases, data of fundamental importance for specific assessments were not disclosed, while in others the data themselves were used in a manifestly misleading manner. This led to a significant overestimation of vaccine effectiveness and a parallel underestimation of adverse reactions occurring after vaccination. We cannot rule out that errors of the opposite kind may also have occurred, but none emerged from our analysis, suggesting the existence of structural biases in the production and communication of the data. Recommendations and Conclusions This policy brief does not question vaccination campaigns per se, but rather emphasizes the need for methodological rigor, informational clarity, and communicative integrity in support of public health decision-making.</ns3:p>

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Journal
F1000Research
Published
2026-06-12
DOI
https://doi.org/10.12688/f1000research.181425.1
Primary Topic
Vaccine Coverage and Hesitancy
Type
article
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article

Statistical Information on COVID-19 Vaccines in Italy: Methodological Errors and Misleading Communication

Alberto Donzelli, Rachele Foschi, Bruno Cheli, Paolo Bellavite et al.
F1000Research
Vaccine Coverage and Hesitancy
article

Statistical Information on COVID-19 Vaccines in Italy: Methodological Errors and Misleading Communication

Alberto Donzelli, Rachele Foschi, Bruno Cheli, Paolo Bellavite, Giovanni Trambusti, Mario Gregori, Alessandro Bagnato
article en

Abstract

<ns3:p>Background The statistical information on COVID-19 vaccines was disseminated in Italy by the institutional bodies responsible for producing and communicating health data. Policy and Implications The communication of statistical health data was affected by a series of errors of varying magnitude and severity, as well as by ambiguity and a lack of clarity. In some cases, data of fundamental importance for specific assessments were not disclosed, while in others the data themselves were used in a manifestly misleading manner. This led to a significant overestimation of vaccine effectiveness and a parallel underestimation of adverse reactions occurring after vaccination. We cannot rule out that errors of the opposite kind may also have occurred, but none emerged from our analysis, suggesting the existence of structural biases in the production and communication of the data. Recommendations and Conclusions This policy brief does not question vaccination campaigns per se, but rather emphasizes the need for methodological rigor, informational clarity, and communicative integrity in support of public health decision-making.</ns3:p>

F1000ResearchVol. 15
University of Pisa (IT), University of Verona (IT), Fondazione Roma (IT)
Peace, Justice and strong institutions
Openalex Percentile: Top 4%
Vaccine Coverage and Hesitancy
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Statistical Information on COVID-19 Vaccines in Italy: Methodological Errors and Misleading Communication — Alberto Donzelli, Rachele Foschi, et al. · F1000Research (2026) | TGRS Research Map | TGRS