Evidence map›Paper›PMID 40246590›Full record

ArticleJMIR public health and surveillance2025

Assessing COVID-19 Mortality in Serbia's Capital: Model-Based Analysis of Excess Deaths.

Dane Cvijanovic, Nikola Grubor, Nina Rajovic, Mira Vucevic, Svetlana Miltenovic, Marija Laban, Tatjana Mostic, Radica Tasic, Bojana Matejic, Natasa Milic

Abstract read
In one paragraph

Article in JMIR public health and surveillance, 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

10 authors.

Dane Cvijanovic *Department of Cardiovascular Diseases, University Clinical Center Zvezdara, Belgrade, Serbia.ORCID 0000-0002-2431-9388
Nikola Grubor *Institute of Medical Statistics and Informatics, Faculty of Medicine, University of Belgrade, Dr Subotica 15, Belgrade, Serbia, 381 63367700.ORCID 0009-0007-7876-1554
Nina RajovicInstitute of Medical Statistics and Informatics, Faculty of Medicine, University of Belgrade, Dr Subotica 15, Belgrade, Serbia, 381 63367700.ORCID 0000-0002-8509-0329
Mira VucevicThe City Institute for Public Health, Belgrade, Serbia.ORCID 0009-0009-7910-1958
Svetlana MiltenovicThe City Institute for Public Health, Belgrade, Serbia.ORCID 0000-0002-1439-8481
Marija LabanClinic of Pulmonology, University Clinical Center of Serbia, Belgrade, Serbia.ORCID 0009-0006-5351-8374
Tatjana MosticDepartment of Anesthesiology, University Clinical Center of Serbia, Belgrade, Serbia.ORCID 0009-0001-7846-8266
Radica TasicThe College of Health Sciences, Academy of Applied Studies Belgrade, Belgrade, Serbia.ORCID 0009-0000-3923-2923
Bojana Matejic *Institute of Social Medicine, Faculty of Medicine, University of Belgrade, Belgrade, Serbia.ORCID 0000-0001-6372-3298
Natasa Milic *Institute of Medical Statistics and Informatics, Faculty of Medicine, University of Belgrade, Dr Subotica 15, Belgrade, Serbia, 381 63367700.ORCID 0000-0001-7074-1187

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Concerns have been raised about discrepancies in COVID-19 mortality data, particularly between preliminary and final datasets of vital statistics in Serbia. In the original preliminary dataset, released daily during the ongoing pandemic, there was an underestimation of deaths in contrast to those reported in the subsequently released yearly dataset of vital statistics. Objective: This study aimed to assess the accuracy of the final mortality dataset and justify its use in further analyses. In addition, we quantified the relative impact of COVID-19 on the death rate in the Serbian capital's population. In the process, we aimed to explore whether any evidence of cause-of-death misattribution existed in the final published datasets. Methods: Data were sourced from the electronic databases of the Statistical Office of the Republic of Serbia. The dataset included yearly recorded deaths and the causes of death of all citizens currently living in the territory of Belgrade, the capital of the Republic of Serbia, from 2015 to 2021. Standardization and modeling techniques were utilized to quantify the direct impact of COVID-19 and to estimate excess deaths. To account for year-to-year trends, we used a mixed-effects hierarchical Poisson generalized linear regression model to predict mortality for 2020 and 2021. The model was fitted to the mortality data observed from 2015 to 2019 and used to generate mortality predictions for 2020 and 2021. Actual death rates were then compared to the obtained predictions and used to generate excess mortality estimates. Results: The total number of excess deaths, calculated from model estimates, was 3175 deaths (99% CI 1715-4094) for 2020 and 8321 deaths (99% CI 6975-9197) for 2021. The ratio of estimated excess deaths to reported COVID-19 deaths was 1.07. The estimated increase in mortality during 2020 and 2021 was 12.93% (99% CI 15.74%-17.33%) and 39.32% (99% CI 35.91%-39.32%) from the expected values, respectively. Those aged 0-19 years experienced an average decrease in mortality of 22.43% and 23.71% during 2020 and 2021, respectively. For those aged up to 39 years, there was a slight increase in mortality (4.72%) during 2020. However, in 2021, even those aged 20-39 years had an estimated increase in mortality of 32.95%. For people aged 60-79 years, there was an estimated increase in mortality of 16.95% and 38.50% in 2020 and 2021, respectively. For those aged >80 years, the increase was estimated at 11.50% and 34.14% in 2020 and 2021, respectively. The model-predicted deaths matched the non-COVID-19 deaths recorded in the territory of Belgrade. This concordance between the predicted and recorded non-COVID-19 deaths provides evidence that the cause-of-death misattribution did not occur in the territory of Belgrade. Conclusions: The finalized mortality dataset for Belgrade can be safely used in COVID-19 impact analysis. Belgrade experienced a significant increase in mortality during 2020 and 2021, with most of the excess mortality attributable to SARS-CoV-2. Concerns about increased mortality from causes other than COVID-19 in Belgrade seem misplaced as their impact appears negligible.

Indexed as

COVID-19AdolescentAdultAgedAged, 80 and overCause of DeathChildChild, PreschoolFemaleHumansInfantMaleMiddle AgedModels, StatisticalMortalitySerbiacentralized health carecoronavirusCOVID-19COVID-19 impactdeath ratedeath tolldense populationexcess mortalityinfectious diseasepandemicpublic healthpulmonaryrespiratorySARS-Cov-2Serbiasurveillanceurban

Identifiers

PMID40246590
PMCPMC12021472

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LicenceCC BY
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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.