Evidence map›Paper›PMID 41078920›Full record

ArticleArchives of medical science : AMS2025

The role of vaccination, testing, and public restriction policies in COVID-19 mortality and incidence: insights from Global Burden of Disease regions.

Myung-Bae Park, Ji-Ho Lee

Abstract read
In one paragraph

Article in Archives of medical science : AMS, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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.

Myung-Bae ParkDivision of Health Administration, Yonsei University, Wonju, Republic of Korea.
Ji-Ho LeeDepartment of Internal Medicine, Yonsei University Wonju College of Medicine, Wonju, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: This study aimed to examine the impacts of vaccination, testing, and government policies on COVID-19 mortality and incidence rates and compare these strategies' effectiveness across the seven super regions of the Global Burden of Disease (GBD) study. Material and methods: This study used data from January 3, 2020, to March 29, 2023. The incidence and mortality indices were calculated using "daily cases" and "daily deaths" and selected as dependent variables. Vaccination, COVID-19 tests, and strictness of a government's policy were explored using corresponding metrics. Results: Daily cases were four times higher in the high-income (HI) region (371.1) than those in the Latin America and Caribbean region (98.3), but the mortality rate was similar (1.5). The number of vaccinated people did not consistently reduce the mortality across all GBD regions. However, full vaccination was associated with decreased mortality in all regions except Central, Eastern, and Southeastern Europe and Central Asia (CEEECA). Regarding daily testing, a favorable correlation was observed between daily deaths on a global scale, excluding Southeast Asia, East Asia, and Oceania. Overall, vaccination coverage and government policies were effective in reducing COVID-19 mortality and incidence rates. However, only the HI region showed a negative association between the COVID-19 stringency index and both incidence and mortality rates. Conclusions: Full vaccination significantly reduced COVID-19 mortality globally, except in the CEEECA region. The HI region showed lower incidence and mortality rates with stricter government measures. Effective vaccination programs and policies are crucial, emphasizing the need for strengthened international cooperation in future pandemics.

Indexed as

COVID-19Global Burden of Diseaseincidencemortalityrestriction policySARS-CoV-2vaccines

Identifiers

PMID41078920
PMCPMC12509858

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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.