Evidence map›Paper›PMID 42346165›Full record

ReviewEpidemiologia (Basel, Switzerland)2026

COVID-19 and Interacting Public Health Threats in Europe During 2020-2025: A Narrative Review.

Christos Ntais, Ioanna P Chatziprodromidou

Abstract readReview
In one paragraph

Review in Epidemiologia (Basel, Switzerland), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

2 authors.

Christos NtaisEpidemiology Program, School of Science and Technology, Hellenic Open University, 26335 Patras, Greece.ORCID 0000-0002-2749-101X
Ioanna P ChatziprodromidouDepartment of Public Health, Medical School, University of Patras, 26504 Patras, Greece.ORCID 0000-0001-6242-1351

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Between 2020 and 2025, Europe has faced multiple interacting public health threats shaped by and following the COVID-19 pandemic. Alongside COVID-19, the region experienced other infectious disease events, including monkeypox, measles resurgence, legionellosis and acute hepatitis of unknown origin in children. At the same time, non-communicable disease burdens, including obesity, type II diabetes mellitus, disruption of chronic disease care, mental health disorders and increased problematic digital use, intensified during and after the pandemic period. Antimicrobial resistance (AMR) remained a major cross-cutting threat because it undermines the effective treatment of infections and weakens emergency preparedness. This narrative review synthesizes peer-reviewed articles and selected reports from international organizations for the 2020-2025 period, using COVID-19 as the organizing context for examining interconnected infectious, chronic and system-level threats. Across these topics, recurring themes included vaccination gaps, fragmented surveillance, disruption of routine care, health system inequities, misinformation and insufficient preparedness for cross-border threats. The review supports integrated surveillance, continuity plans for essential services, stronger vaccination and risk-communication strategies and sustained AMR stewardship within a One Health framework. Coordinated action across public health, primary care, mental health and chronic disease policy is essential for future resilience.

Indexed as

antimicrobial resistanceCOVID-19epidemicEuropeinfectious diseasenon-communicable diseasesoutbreakpandemicpublic healthsurveillancevaccination

Identifiers

PMID42346165
PMCPMC13298838

What OpenQuestion 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 OpenQuestion graph.