Evidence map›Paper›PMID 37602571›Full record

ArticlePathogens and global health2024

Determining the relationship between dengue and vulnerability in a Brazilian city: a spatial modeling analysis.

Bianca Conrad Bohm, Maria Helena Franco Morais, Maria da Consolação Magalhães Cunha, Nádia Campos Pereira Bruhn, Waleska Teixeira Caiaffa, Fábio Raphael Pascoti Bruhn

Abstract read
In one paragraph

Article in Pathogens and global health, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

6 authors.

Bianca Conrad BohmVeterinary Epidemiology Laboratory, Preventive Veterinary Department, Federal University of Pelotas (UFPel), Pelotas, Brazil.ORCID 0000-0002-5050-7497
Maria Helena Franco MoraisDepartment of Municipal Health, City Hall de Belo Horizonte, Belo Horizonte, Brazil.
Maria da Consolação Magalhães CunhaUrban Health Observatory - Faculty of Medicine, Federal University of Minas Gerais (UFMG), Belo Horizonte, Brazil.
Nádia Campos Pereira BruhnCentro de Integração do Mercosul, Federal University of Pelotas (UFPel), Pelotas, Brazil.
Waleska Teixeira CaiaffaUrban Health Observatory - Faculty of Medicine, Federal University of Minas Gerais (UFMG), Belo Horizonte, Brazil.
Fábio Raphael Pascoti BruhnPreventive Veterinary Department, Zoonoses Control Center (UFPel), Federal University of Pelotas, Pelotas, Brazil.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dengue is a viral infection transmitted by the Aedes aegypti mosquito. This study aimed to assess the distribution of cases and deaths from dengue and severe dengue, and its relationship with social vulnerability in Belo Horizonte, State of Minas Gerais, Brazil, from 2010 to 2018. The incidence and lethality rates of dengue and their relationship with sex, age, education, skin color, and social vulnerability were studied using chi-square tests, Ordinary Least Squares (OLS), and Geographically Weighted Regression (GWR) analyses. The number of cases of dengue in Belo Horizonte during the study period was 324,044 dengue cases, with 1,334 cases of severe dengue and 88 deaths. During the past few decades, the incidence rate of both dengue and severe cases varied, with an average incidence rate of respectively 1515.5 and 6.2/100,000 inhabitants. The increase in dengue cases was directly related to areas with higher social vulnerability areas and more working-age people. Also, the disease is more severe in people self-declared as black, elderly, and male. The findings of this study might provide relevant information for health services in the organization of control and prevention policies for this problem, emphasizing the most vulnerable urban areas and categories.

Indexed as

DengueAdolescentAdultAedesAgedAged, 80 and overAnimalsBrazilChildChild, PreschoolCitiesFemaleHumansIncidenceInfantInfant, NewbornAedesBrazilhealth information systemsspatial regressiontime series

Identifiers

PMID37602571
PMCPMC11141313

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.