Evidence map›Paper›PMID 32053623›Full record

ArticlePloS one2020

Spatial and temporal distribution of dengue in Brazil, 1990 - 2017.

Denise Catarina Andrioli, Maria Assunta Busato, Junir Antonio Lutinski

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed
7.2field-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

25 citing papers in PubMed, 71 citations in OpenAlex.

  1. Variations in annual dengue intensities are explained by temperature anomalies.medRxiv : the preprint server for health sciences · 2025
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  9. Trends in dengue incidence and lethality: interrupted time series analysis, Brazil, 2001-2022.Epidemiologia e servicos de saude : revista do Sistema Unico de Saude do Brasil · 2025
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  20. Spatio-temporal dynamics of dengue-related deaths and associated factors.Revista do Instituto de Medicina Tropical de Sao Paulo · 2022
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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

3 authors at 1 institution in 1 country.

Denise Catarina AndrioliPostgraduate Program in Health Sciences, Community University of the Region of Chapecó (Unochapecó), Chapecó, Santa Catarina, Brazil.
Maria Assunta BusatoPostgraduate Program in Health Sciences, Community University of the Region of Chapecó (Unochapecó), Chapecó, Santa Catarina, Brazil.ORCID 0000-0003-0043-7037
Junir Antonio LutinskiPostgraduate Program in Health Sciences, Community University of the Region of Chapecó (Unochapecó), Chapecó, Santa Catarina, Brazil.
Community University of Chapecó Region - Unochapecó · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dengue is a viral disease caused by an arbovirus of the genus Flavivirus transmitted in Brazil by the mosquito Aedes aegypti (Linnaeus, 1762). Simultaneous circulation of the four viral serotypes (DENV1, 2, 3 and 4) has been occurring since 2010 and determines a scenario of hyperendemicity of the disease in the country. This study aimed to describe the epidemiological situation of dengue in Brazil in the last three decades. This is a descriptive, observational study that used data of dengue notifications of the National Surveillance System from 1990 to 2017, available in the Epidemiological Bulletins and publications of the Ministry of Health. Dengue incidence increased in all Brazilian regions and the interepidemic periods are distinct in the different regions. The greatest epidemics was recorded in 2015 (1,688,688 cases), with an incidence of 826.0 cases per 100,000 inhabitants, which illustrates the occurrence of dengue in the last decade with increasingly higher epidemic peaks and shortening of the interepidemic periods. The incidence and mortality indices point to the need to improve the organization of response to dengue epidemics. This study provides information on the epidemiology of dengue in the country and can be used in the formulation of public health policies to reduce the impacts of viral transmission.

Indexed as

Spatio-Temporal AnalysisBrazilDengueHumansIncidenceSeasonsTemperature

Identifiers

PMID32053623
PMCPMC7018131
OpenAlexW3006174098

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.