Evidence map›Paper›PMID 40781086›Full record

ArticleScientific reports2025

A comparative analysis of the role of containment policies, vaccination strategies and virus variants in the COVID-19 pandemic across nine European countries.

Simone Rancati, Giovanna Nicora, Enea Parimbelli, Marco Salemi, Riccardo Bellazzi, Daniele Pala

Abstract readComparative Study
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

5 citing papers in PubMed.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Simone RancatiDepartment of Computer, Electrical and Biomedical Engineering, University of Pavia, Pavia, Italy.
Giovanna NicoraDepartment of Computer, Electrical and Biomedical Engineering, University of Pavia, Pavia, Italy.
Enea ParimbelliDepartment of Computer, Electrical and Biomedical Engineering, University of Pavia, Pavia, Italy.
Marco SalemiEmerging Pathogens Institute, University of Florida, Gainesville, FL, USA.
Riccardo BellazziDepartment of Computer, Electrical and Biomedical Engineering, University of Pavia, Pavia, Italy.
Daniele PalaDepartment of Computer, Electrical and Biomedical Engineering, University of Pavia, Pavia, Italy. daniele.pala@unipv.it.

Funding

A Phylodynamic Artificial Intelligence framework to predict evolution of SARS-CoV-2 variants of concern in Immunocompromised persons with HIV (PhAI-CoV)R01AI170187 · NIAID · UNIVERSITY OF FLORIDA · PI MARIA LUISA ALCAIDE, Deborah Lynne Jones · 2022 to 2026
$3.7M
NIAID NIH HHS R01 AI170187NIH HHS NIAID R01 AI170187PERISCOPE Project Grant Agreement N° 101016233
6 · The paper itself

Abstract

The COVID-19 pandemic disrupted public health, economies, and societies worldwide, with lasting effects still visible today. Containment policies were implemented to reduce viral transmission, but their effectiveness varied across geographic regions. Understanding the interplay between policies, epidemiological variables, vaccines, and variants is crucial for optimizing future epidemic responses. This study applies a vector autoregressive mixed-effect model to data from nine European countries over the entire pandemic duration, using weekly data to provide both global and country-specific analyses. Policy stringency was assessed using the Oxford Covid-19 Government Response Tracker. Our findings reveal that the relationship between epidemiological indicators and policy stringency evolved over time. Initially, hospitalizations were the primary driver of containment measures, but as vaccinations increased and new variants emerged, new case numbers became an important factor too. While all vaccine doses contributed to reducing cases and hospitalizations, only the second dose was associated with policy stringency. No significant association was found between virus variants and policy measures. Despite small country-specific differences, these insights highlight the complex interdependencies that shaped pandemic management. This framework can support future public health decision-making by balancing epidemiological trends with tailored policy responses at both national and international levels.

Indexed as

COVID-19COVID-19 VaccinesHealth PolicySARS-CoV-2VaccinationEuropeHospitalizationHumansPandemicsPublic HealthCOVID-19 VaccinesCOVID-19 containment policiesEpidemiological modelingMultilevel vector autoregression (mlVAR)Policy stringency indexSARS-CoV-2 variantsVaccination impact

Identifiers

PMID40781086
PMCPMC12334650

What Socratic holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.