Evidence map›Paper›PMID 42230661›Full record

ArticleScientific data2026

CV19global: harmonized epidemiology, policy, mobility and weather indicators from two years and 54 countries.

Stavros N Moutsis, Christos Karapiperis, Lefteris Angelis, Christos A Ouzounis

Abstract readDataset
In one paragraph

Article in Scientific data, 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

4 authors.

Stavros N MoutsisSchool of Informatics, Aristotle University of Thessalonica, Thessalonica, Greece.
Christos KarapiperisChemical Process & Energy Resources Institute, Centre for Research & Technology Hellas, Thermi, Thessalonica, Greece.
Lefteris AngelisSchool of Informatics, Aristotle University of Thessalonica, Thessalonica, Greece.
Christos A OuzounisSchool of Informatics, Aristotle University of Thessalonica, Thessalonica, Greece. cao@csd.auth.gr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We introduce CV19global, a 3-million datapoint compilation of the COVID-19 pandemic tracking transmission patterns and response measures in 54 countries for the years 2020 and 2021. The harmonized dataset covers reports on epidemiological trends, environmental factors, socio-economic indices, vaccination efforts and government policies compiled from several primary data sources. CV19global maintains precision and high coverage across selected parameters, with a focus on seasonal elements, facilitating the discovery of insights into the pandemic and the effectiveness of interventions on a global scale. We describe the properties of 82 indicators and outline potential applications. CV19global is a data framework for COVID-19 that offers researchers and policymakers an additional capacity to benchmark responses, refine strategies and re-analyze pandemic patterns, enabling evidence-based decisions and improved public health outcomes.

Indexed as

COVID-19HumansPandemicsSARS-CoV-2Weather

Identifiers

PMID42230661
PMCPMC13529749

What OpenQuestion holds

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Registered trials

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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.