Evidence map›Paper›PMID 40442180›Full record

ArticleScientific reports2025

Emergence and spatiotemporal incidence of dengue in Rio Grande do Sul, Brazil.

Sergiane Baes Pereira, Bianca Conrad Bohm, Angelita Dos Reis Gomes, Glênio Aguiar Gonçalves, Nádia Campos Pereira Bruhn, Vinicius Silva Belo, Francisco Aguilera-Benavente, Fabio Raphael Pascoti Bruhn

Abstract read
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. Article
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

8 authors.

Sergiane Baes PereiraFederal University of Pelotas, Pelotas, Brazil. sergiiane@hotmail.com.
Bianca Conrad BohmFederal University of Pelotas, Pelotas, Brazil.
Angelita Dos Reis GomesFederal University of Pelotas, Pelotas, Brazil.
Glênio Aguiar GonçalvesFederal University of Pelotas, Pelotas, Brazil.
Nádia Campos Pereira BruhnFederal University of Pelotas, Pelotas, Brazil.
Vinicius Silva BeloFederal University of São João del Rey, Divinópolis, Brazil.
Francisco Aguilera-BenaventeUniversity of Alcalá, Madrid, Spain.
Fabio Raphael Pascoti BruhnFederal University of Pelotas, Pelotas, Brazil. fabio_rpb@yahoo.com.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This ecological study used surveillance data to examine the spatiotemporal dynamics of dengue in RS from 2007 to 2023. The temporal progression and geographic distribution of the cases were analyzed using generalized additive models (GAM), Local Indicators of Spatial Association (LISA), and spatiotemporal scan statistics. During the study period, 126,067 dengue cases and 142 deaths were reported, with 80.5% of cases and 85.2% of deaths occurring between 2022 and 2023. The mean incidence rate was 65.3 per 100,000 inhabitants, and the mortality rate was 0.11 per 100,000. The GAM analysis demonstrated a marked escalation in dengue risk beginning in 2019, with pronounced intensification from 2022 onward, indicating an ongoing epidemic. Most cases and fatalities were concentrated in the Northwest Rio Grande and Metropolitan Porto Alegre mesoregions. Significant spatial clusters were detected in the Central Eastern Rio Grande and Central Western Rio Grande mesoregions between 2021 and 2023, encompassing approximately 2.8 million individuals. These findings underscore the critical need to enhance surveillance and implement robust primary-prevention measures. Such measures are vital for curbing the current epidemic and mitigating the risk of future outbreaks. This study provides a detailed epidemiological assessment of dengue expansion in RS, highlighting priority areas for intervention and resource distribution to effectively manage evolving public health threats.

Indexed as

DengueAdolescentAdultBrazilChildChild, PreschoolDisease OutbreaksFemaleHumansIncidenceMaleMiddle AgedSpatio-Temporal AnalysisYoung AdultClimate changeDengueGeneralized additive modelsPublic healthRio Grande do SulSpatiotemporal analysis

Identifiers

PMID40442180
PMCPMC12122816

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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Registered trials

None linked

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.