Evidence map›Paper›PMID 39762340›Full record

ArticleScientific reports2025

Spatiotemporal expansion of dengue in Brazilian Amazon between 2001 and 2021.

Ravena Dos Santos Hage, Bianca Conrad Bohm, Caio Perez Casagrande, Suellen Caroline M Silva, Alessandra Talaska Soares, Jackeline Vieira Lima, Nádia Campos Pereira Bruhn, Fábio 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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  5. Review
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.

Ravena Dos Santos HageLaboratory of Veterinary Epidemiology, Graduate Program in Veterinary Medicine, Universidade Federal de Pelotas, University Campus, Building 42, Post Office Box 354, Capão do Leão, RS, CEP 96010-900, Brazil. ravennahage@gmail.com.
Bianca Conrad BohmLaboratory of Veterinary Epidemiology, Graduate Program in Veterinary Medicine, Universidade Federal de Pelotas, University Campus, Building 42, Post Office Box 354, Capão do Leão, RS, CEP 96010-900, Brazil.
Caio Perez CasagrandeMS Applied Economics, Postgraduate Program in Organizations and Markets, Universidade Federal de Pelotas, Capão do Leão, Brazil.
Suellen Caroline M SilvaLaboratory of Veterinary Epidemiology, Graduate Program in Veterinary Medicine, Universidade Federal de Pelotas, University Campus, Building 42, Post Office Box 354, Capão do Leão, RS, CEP 96010-900, Brazil.
Alessandra Talaska SoaresLaboratory of Veterinary Epidemiology, Graduate Program in Veterinary Medicine, Universidade Federal de Pelotas, University Campus, Building 42, Post Office Box 354, Capão do Leão, RS, CEP 96010-900, Brazil.
Jackeline Vieira LimaLaboratory of Veterinary Epidemiology, Graduate Program in Veterinary Medicine, Universidade Federal de Pelotas, University Campus, Building 42, Post Office Box 354, Capão do Leão, RS, CEP 96010-900, Brazil.
Nádia Campos Pereira BruhnMercosur Integration Center, Graduate Program in Territorial Development and Agroindustrial Systems, Universidade Federal de Pelotas, Capão do Leão, Brazil.
Fábio Raphael Pascoti BruhnLaboratory of Veterinary Epidemiology, Graduate Program in Veterinary Medicine, Universidade Federal de Pelotas, University Campus, Building 42, Post Office Box 354, Capão do Leão, RS, CEP 96010-900, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dengue remains a significant public health concern in Brazil, with all federative units registering occurrences of the disease within their territories despite constant measures to control the Aedes aegypti vector. This study aimed to evaluate the profile of notified dengue cases in the Brazilian Legal Amazon from 2001 to 2021, analyzing National System of Notifiable Diseases (SINAN) data on the disease to assess the risks for its occurrence. Subsequently, statistical analyses were conducted to identify incidence and lethality rates. Over the study period, approximately 1,344,950 cases of the disease were reported, resulting in 863 deaths. The transmission of cases in the Amazonian states was not homogeneous, demonstrating variations and clusters over the years of extreme value for health authorities. Identifying and understanding the spatiotemporal patterns for the disease in the region helps assess the behavior of infections in areas with high susceptibility, promoting targeted interventions and resource allocation for dengue control programs. It is important to encourage future studies that evaluate the disease's risk based on quantitative variables. Such studies contribute to the formulation of health policies aimed at controlling and preventing dengue, improving public health outcomes.

Indexed as

DengueSpatio-Temporal AnalysisAdolescentAdultAedesAgedAnimalsBrazilChildChild, PreschoolFemaleHumansIncidenceInfantMaleMiddle AgedDengueEpidemiologyHealth Information SystemSurveillance

Identifiers

PMID39762340
PMCPMC11704288

What OpenQuestion holds

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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.