Evidence map›Paper›PMID 32532240›Full record

Observational studyBMC public health2020

Retrospective cross-sectional observational study on the epidemiological profile of dengue cases in Pernambuco state, Brazil, between 2015 and 2017.

Iasmyn Dayanne Santos do Nascimento, André Filipe Pastor, Thaísa Regina Rocha Lopes, Pablo Cantalice Santos Farias, Juliana Prado Gonçales, Rodrigo Feliciano do Carmo, Ricardo Durães-Carvalho, Caroline Simões da Silva, José Valter Joaquim Silva Júnior

Abstract readObservational Study
In one paragraph

Observational study in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing 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

8 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Infectivity and Dissemination of Dengue Virus-1 in DifferentTropical medicine and infectious disease · 2025
    Article
  5. Observational
  6. Article
  7. Dengue, chikungunya, and Zika virus infections in Latin America and the Caribbean: a systematic review.Revista panamericana de salud publica = Pan American journal of public health · 2023
    Review
  8. 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

9 authors.

Iasmyn Dayanne Santos do NascimentoSão Miguel University Center, Recife, Pernambuco, Brazil.
André Filipe PastorFederal Institute of Education, Science and Technology of Sertão Pernambucano, Floresta, Pernambuco, Brazil.
Thaísa Regina Rocha LopesVirology Sector, Laboratory of Immunopathology Keizo Asami, Federal University of Pernambuco, Recife, Pernambuco, Brazil.
Pablo Cantalice Santos FariasDepartment of Virology, Aggeu Magalhães Institute, Oswaldo Cruz Foundation, Recife, Pernambuco, Brazil.
Juliana Prado GonçalesVirology Sector, Laboratory of Immunopathology Keizo Asami, Federal University of Pernambuco, Recife, Pernambuco, Brazil.
Rodrigo Feliciano do CarmoCollegiate of Pharmaceutical Sciences, Federal University of Vale do São Francisco, Petrolina, Pernambuco, Brazil.
Ricardo Durães-CarvalhoLaboratory of Virology, University of Campinas, Campinas, São Paulo, Brazil.
Caroline Simões da SilvaDepartment of Virology, Aggeu Magalhães Institute, Oswaldo Cruz Foundation, Recife, Pernambuco, Brazil.
José Valter Joaquim Silva JúniorVirology Sector, Laboratory of Immunopathology Keizo Asami, Federal University of Pernambuco, Recife, Pernambuco, Brazil. josevalterjsilvajr@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe spread of Dengue virus (DENV) infections, as well as their signs and symptoms, are the result of a complex interaction between several factors. In Brazil, especially in the Northeastern, dengue is an important public health problem. Here, we report an epidemiological analysis of dengue cases in Pernambuco state, Northeastern Brazil, during 2015-2017.

methodsThis work is a retrospective cross-sectional observational study on the epidemiological profile of all dengue cases confirmed and reported to the Health Secretary of Pernambuco between 2015 and 2017. These data cover all municipalities of Pernambuco, except Fernando de Noronha. DENV-positive individuals were classified according to the dengue type (without and with warning signs, or severe dengue), age, gender, ethnicity and intermediate geographic region of residence (Recife, Caruaru, Serra Talhada or Petrolina). The distribution of cases over the years was assessed by χ2 test. Temperature and rainfall data were evaluated by Unpaired t-test. p-value < 0.05 and CI 95% were considered in all analyses.

resultsMost dengue cases was without warning signs. The most observed characteristics in the less severe dengue phenotypes were: female, mulatto ethnicity and age between 20 and 39 years old; this profile was more clearly observed in 2015. In 2016 and 2017, however, the numbers of dengue without and with warning signs were more evenly distributed and the difference in cases within groups decreased significantly. Regarding severe dengue, mulattoes were the most affected, but it is possible to note a trend towards a more uniform distribution between the genders and ages. Recife was the region with the highest numbers of both total cases and incidence rates and the highest rainfall levels. Overall, over the years, there has been a decrease in dengue cases in all regions of Pernambuco.

conclusionsWe identified the epidemiological profile of dengue in Pernambuco, Brazil, reporting the gender, age, ethnicity and regions most affected by different dengue types. In addition, we observed that these cases were probably more influenced by rainfall than by temperature. Finally, we believe that this epidemiological knowledge is important to direct public health policies to the reality of each population.

Indexed as

AdolescentAdultBrazilChildChild, PreschoolCross-Sectional StudiesDemographyDengueDengue VirusFemaleHumansIncidenceInfantMaleMiddle AgedRainBrazilDengueEpidemiologyNortheastern BrazilPernambuco state

Identifiers

PMID32532240
PMCPMC7291711

What OpenQuestion holds

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LicenceCC BY
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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.