Evidence map›Paper›PMID 40033635›Full record

ArticleBalkan medical journal2025

Excess Mortality in Türkiye during 2020-2022: Regional and Time-Based Analysis.

Salih Keskin, Gül Ergör

Abstract read
In one paragraph

Article in Balkan medical journal, 2025. 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
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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.

Salih KeskinBalıkesir Karesi Provincial Directorate of Health, Balıkesir, Türkiye.ORCID 0000-0003-4032-319X
Gül ErgörDepartment of Public Health, Dokuz Eylül University Faculty of Medicine, İzmir, Türkiye.ORCID 0000-0002-2263-7526

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The coronavirus disease-2019 (COVID-19) pandemic significantly impacted global mortality, albeit Türkiye has been largely excluded from mortality studies owing to delayed data release and a lack of nationwide analyses. Aims: To identify the excess mortality rates in Türkiye between 2020 and 2022, analyze the temporal trends and regional differences, and determine factors associated with excess deaths at the regional level. Study Design: A cross-sectional ecological analysis. Methods: We analyzed all-cause mortality data from the Turkish Statistical Institute from January 2015 to December 2022. The projected deaths during 2020-2022 were derived from Quasi-Poisson Regression models applied to the 2015-2019 provincial mortality data, adjusting for seasonal trends, population offsets, and overdispersion. The results were aggregated to national and socioeconomic levels for comparative analyses. Excess deaths were calculated as the difference between observed and projected deaths. P-scores and excess mortality per 100,000 inhabitants were utilized as standardized metrics. Socioeconomic disparities were examined using the Socioeconomic Development Ranking of Provinces and Regions (SEGE-2017). We assessed the associations between excess mortality and vaccination coverage, elderly population ratio, intensive care unit beds per 100,000 population, and population per family physician. Results: Türkiye experienced 247,640 excess deaths [95% confidence interval (CI): 176,405-315,204] from 2020 to 2022. Excess mortality peaked in 2021 with 121,426 excess deaths (27.2% P-score, 143.5 per 100,000 population). Lower vaccination coverage [estimate: -0.51, 95% CI: (-0.81, -0.20), Conclusion: Excess mortality in Türkiye during the COVID-19 pandemic was substantial, particularly in 2021, and was influenced by regional socioeconomic disparities, vaccination coverage, and healthcare access. These findings underscore the importance of addressing sociodemographic factors and strengthening primary healthcare services in pandemic responses.

Indexed as

COVID-19MortalityAdultAgedCross-Sectional StudiesFemaleHumansMaleMiddle AgedPandemicsSARS-CoV-2Turkey

Identifiers

PMID40033635
PMCPMC11883139

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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.