Evidence map›Paper›PMID 30898104›Full record

ReviewBMC public health2019

30 years of fatal dengue cases in Brazil: a review.

Priscila Conrado Guerra Nunes, Regina Paiva Daumas, Juan Camilo Sánchez-Arcila, Rita Maria Ribeiro Nogueira, Marco Aurélio Pereira Horta, Flávia Barreto Dos Santos

Abstract readReview
In one paragraph

Review in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
51citing papers in PubMed, 1 pooled it
–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

51 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Article
  3. Article
  4. Risk factors associated with dengue lethality: case-control study, Joinville, Brazil.Revista da Sociedade Brasileira de Medicina Tropical · 2026
    Article
  5. Article
  6. Article
  7. Dengue: Historical Aspects.Current topics in microbiology and immunology · 2026
    Article
  8. Time series analysis (2015-2022): dengue risk scenario in Goiás, Brazil.Revista brasileira de epidemiologia = Brazilian journal of epidemiology · 2026
    Article
  9. Dengue is Still a Complicated Disease.Combinatorial chemistry & high throughput screening · 2026
    Article
  10. Article
  11. Review
  12. Article
  13. Review
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
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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

6 authors.

Priscila Conrado Guerra NunesViral Immunology Laboratory, Oswaldo Cruz Institute, IOC, Oswaldo Cruz Foundation, FIOCRUZ, Avenida Brasil, 4365. Manguinhos, Rio de Janeiro, Brazil.
Regina Paiva DaumasClinical Epidemiology Laboratory, Evandro Chagas Clinical Research Institute-FIOCRUZ, Avenida Brasil, 4365. Manguinhos, Rio de Janeiro, Brazil.
Juan Camilo Sánchez-ArcilaViral Immunology Laboratory, Oswaldo Cruz Institute, IOC, Oswaldo Cruz Foundation, FIOCRUZ, Avenida Brasil, 4365. Manguinhos, Rio de Janeiro, Brazil.
Rita Maria Ribeiro NogueiraFlavivirus Laboratory (LABFLA), Oswaldo Cruz Institute - FIOCRUZ, Avenida Brasil, 4365. Manguinhos, Rio de Janeiro, Brazil.
Marco Aurélio Pereira HortaFlavivirus Laboratory (LABFLA), Oswaldo Cruz Institute - FIOCRUZ, Avenida Brasil, 4365. Manguinhos, Rio de Janeiro, Brazil.
Flávia Barreto Dos SantosViral Immunology Laboratory, Oswaldo Cruz Institute, IOC, Oswaldo Cruz Foundation, FIOCRUZ, Avenida Brasil, 4365. Manguinhos, Rio de Janeiro, Brazil. flaviab@ioc.fiocruz.br.

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 303822/2015-5
6 · The paper itself

Abstract

backgroundOver the last 30 years, extensive dengue epidemics have occurred in Brazil, characterized by emergences and re-emergences of different serotypes, a change in the epidemiological profile and an increase in the number of severe and fatal cases. Here, we present a review on the dengue fatal cases that occurred in Brazil in 30 years (1986-2015).

methodsWe performed an ecological study by using secondary data on dengue fatal cases obtained in the National System of Reported Diseases (Sistema de Informação de Agravos de Notificação -SINAN) and in the Mortality Information System (SIM), both maintained by the Brazilian Ministry of Health. Cases were analyzed by region, demographic variables, clinical classification and complications based on the data available.

resultsIn 30 years (1986-2015), the Southeast region reported 43% (n = 2225) of all dengue deaths in the country. The Midwest region was responsible for 18% of the fatal cases. After 2000, deaths occurred in almost all states, with the exception of Santa Catarina and Rio Grande do Sul, South region. From 2006 to 2010, the number of deaths increased, with higher rates of mortality, especially in Goiás and Mato Grosso. From 2011 to 2015, Goiás became the state with the highest mortality rate in the country, and Rio Grande do Sul reported its first dengue deaths. In 30 years, a total of 2682 dengue deaths occurred in males and 2455 in females, and an equal distribution between the sexes was observed. From 1986 to 2006, dengue deaths occurred predominantly in individuals over 15 years old, but this scenario changed in 2007-2008. After 2009, fatal cases on individuals above 15 years old became more frequent, with peaks in the years of 2010, 2013 and 2015.

conclusionsThe Brazil is experiencing a hyperendemic scenario, which has resulted in the co-circulation of the four DENV serotypes and with the increasing occurrence of severe and fatal cases. The disease surveillance and studies characterizing what has been reported overtime, are still important tools to better understand the factors involved in the disease outcome.

Indexed as

BrazilDengueHumans30 yearsBrazilDengue mortalitySurveillance

Identifiers

PMID30898104
PMCPMC6429821

What OpenQuestion holds

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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.