Evidence map›Paper›PMID 42317217›Full record

ArticleHealth science reports2026

COVID-19 Mortality and Temporal Trends in a Mid-Sized Southern Brazilian City (2020-2023): A Population-Based Retrospective Study.

Clodoaldo Antônio De Sá, Junir Antonio Lutinski, Sinval Adalberto Rodrigues-Junior, Samuel Spiegelberg Zuge, Jeana Cristina Barretta, Felipe Corbellini, Ubiratan Alegransi Bones, João Ventura-Silva, Vanessa da Silva Corralo

Abstract read
In one paragraph

Article in Health science reports, 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
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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

9 authors.

Clodoaldo Antônio De SáUniversidade Comunitária de Região de Chapecó Chapecó Brazil.ORCID https://orcid.org/0000-0001-7409-8870
Junir Antonio LutinskiUniversidade Comunitária de Região de Chapecó Chapecó Brazil.ORCID https://orcid.org/0000-0003-0149-5415
Sinval Adalberto Rodrigues-JuniorUniversidade Comunitária de Região de Chapecó Chapecó Brazil.ORCID https://orcid.org/0000-0002-4475-1725
Samuel Spiegelberg ZugeUniversidade Comunitária de Região de Chapecó Chapecó Brazil.ORCID https://orcid.org/0000-0002-0420-9122
Jeana Cristina BarrettaUniversidade Comunitária de Região de Chapecó Chapecó Brazil.ORCID https://orcid.org/0000-0002-2630-3080
Felipe CorbelliniUniversidade Comunitária de Região de Chapecó Chapecó Brazil.ORCID https://orcid.org/0009-0009-6816-6203
Ubiratan Alegransi BonesUniversidade Comunitária de Região de Chapecó Chapecó Brazil.ORCID https://orcid.org/0000-0002-2220-5686
João Ventura-SilvaEscola Superior de Saúde Norte da Cruz Vermelha Portuguesa Oliveira de Azeméis Portugal.ORCID https://orcid.org/0000-0002-8794-528X
Vanessa da Silva CorraloUniversidade Comunitária de Região de Chapecó Chapecó Brazil.ORCID https://orcid.org/0000-0003-4234-4875

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aims: The COVID-19 pandemic has significantly impacted global mortality, with marked variations according to demographic and temporal factors. This study aimed to analyze COVID-19 mortality trends and associated demographic factors in Chapecó, Southern Brazil, between 2020 and 2023. Methods: This population-based retrospective observational study included all confirmed COVID-19 cases and related deaths recorded from March 2020 to March 2023. Data were obtained from the Municipal Epidemiological Surveillance Service. Demographic variables (age, sex, and year of occurrence) were analyzed. Mortality was evaluated using multivariable logistic regression models, incorporating variables selected based on epidemiological relevance. Odds ratios (ORs) and 95% confidence intervals (CIs) were estimated. Statistical significance was set at Results: A total of 84,814 COVID-19 cases and 861 deaths were recorded (case fatality rate: 1.02%). Mortality was higher among males (61.1%) and increased significantly with age, with a 10.2% higher odds of death per additional year of age. Compared with 2020, mortality risk was higher in 2021 (OR = 2.07; 95% CI: 1.72-2.50) and significantly lower in 2022 (OR = 0.15; 95% CI: 0.11-0.21). Peaks in case incidence during 2022 were not accompanied by proportional increases in mortality. Conclusion: COVID-19 mortality in Chapecó was strongly associated with age and male sex. The substantial reduction in mortality after 2021 highlights the impact of vaccination and improved public health measures in mitigating pandemic outcomes.

Indexed as

BrazilCovid‐19epidemiologymortalitytime factors

Identifiers

PMID42317217
PMCPMC13272891

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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.