Evidence map›Paper›PMID 33143752›Full record

ArticleInfectious diseases of poverty2020

Spatiotemporal dynamics, risk areas and social determinants of dengue in Northeastern Brazil, 2014-2017: an ecological study.

Rodrigo Feliciano do Carmo, José Valter Joaquim Silva Júnior, Andre Filipe Pastor, Carlos Dornels Freire de Souza

Open access · goldAbstract read
In one paragraph

Article in Infectious diseases of poverty, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
7.7field-weighted citation impact, top 2% of its field
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

26 citing papers in PubMed, 75 citations in OpenAlex.

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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

4 authors at 4 institutions in 1 country.

Rodrigo Feliciano do CarmoPost Graduation Program in Health and Biological Sciences, Federal University of São Francisco Valley (UNIVASF), Av. José de Sá Maniçoba, s/n, Centro, Petrolina, PE, Brazil. rodrigo.carmo@univasf.edu.br.ORCID http://orcid.org/0000-0001-9601-6995
José Valter Joaquim Silva JúniorVirology Sector, Department of Preventive Veterinary Medicine, Federal University of Santa Maria, Camobi, Santa Maria, Brazil.
Andre Filipe PastorFederal Institute of Education, Science and Technology of Sertão Pernambucano (IF Sertao-PE), Floresta, Brazil.
Carlos Dornels Freire de SouzaDepartment of Medicine, Federal University of Alagoas (UFAL), Arapiraca, Brazil.
Instituto Federal do Sertão Pernambucano · BRUniversidade Federal de Alagoas · BRUniversidade Federal de Pernambuco · BRUniversidade Federal do Vale do São Francisco · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundDengue fever is an arthropod-borne viral disease caused by dengue virus (DENV) and transmitted by Aedes mosquitoes. The Northeast region of Brazil is characterized by having one of the highest dengue rates in the country, in addition to being considered the poorest region. Here, we aimed to identify spatial clusters with the highest dengue risk, as well as to analyze the temporal behavior of the incidence rate and the effects of social determinants on the disease transmission dynamic in Northeastern Brazil.

methodsThis is an ecological study carried out with all confirmed cases of dengue in the Northeast Brazil between 2014 and 2017. Data were extracted from the National Notifiable Diseases Information System (SINAN) and the Brazilian Institute of Geography and Statistics (IBGE). Local empirical Bayesian model, Moran statistics and spatial scan statistics were applied. The association between dengue incidence rate and social determinants was tested using Moran's bivariate correlation.

resultsA total of 509 261 cases of dengue were confirmed in the Northeast during the study period, 53.41% of them were concentrated in Pernambuco and Ceará states. Spatial analysis showed a heterogeneous distribution of dengue cases in the region, with the highest rates in the east coast. Four risk clusters were observed, involving 815 municipalities (45.45%). Moreover, social indicators related to population density, education, income, housing, and social vulnerability showed a spatial correlation with the dengue incidence rate.

conclusionsThis study provides information on the spatial dynamics of dengue in northeastern Brazil and its relationship with social determinants and can be used in the formulation of public health policies to reduce the impact of the disease in vulnerable populations.

Indexed as

BrazilCluster AnalysisDengueHumansPopulation DensityRisk FactorsSocial Determinants of HealthSocioeconomic FactorsSpatio-Temporal AnalysisArbovirusesDengueDengue virusEpidemiologyGISPoverty

Identifiers

PMID33143752
PMCPMC7607617
OpenAlexW3097311463

What OpenQuestion holds

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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.