Evidence map›Paper›PMID 36949383›Full record

ArticleBMC infectious diseases2023

Epidemiological profile of arboviruses in two different scenarios: dengue circulation vs. dengue, chikungunya and Zika co-circulation.

Pablo Cantalice Santos Farias, André Filipe Pastor, Juliana Prado Gonçales, Iasmyn Dayanne Santos do Nascimento, Ellida Suellen de Souza Ferraz, Thaísa Regina Rocha Lopes, Rodrigo Feliciano do Carmo, Maria Rosângela Cunha Duarte Côelho, José Valter Joaquim Silva Júnior

Full text read
In one paragraph

Article in BMC infectious diseases, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. 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.

Pablo Cantalice Santos Farias *Department of Genetics, Federal University of Pernambuco, Recife, Pernambuco, Brazil.
André Filipe Pastor *Federal Institute of Education, Science and Technology of Sertão Pernambucano, Floresta, Pernambuco, Brazil.
Juliana Prado Gonçales *Virology Sector, Keizo Asami Institute, Federal University of Pernambuco, Recife, Pernambuco, Brazil.
Iasmyn Dayanne Santos do NascimentoLaboratory of Immunogenetics, Department of Immunology, Aggeu Magalhães Institute, Recife, Pernambuco, Brazil.
Ellida Suellen de Souza FerrazFederal Institute of Education, Science and Technology of Sertão Pernambucano, Floresta, Pernambuco, Brazil.
Thaísa Regina Rocha LopesVirology Sector, Department of Preventive Veterinary Medicine, Federal University of Santa Maria, Av. Roraima, Camobi, Santa Maria, Rio Grande do Sul, 97105-900, Brazil.
Rodrigo Feliciano do CarmoCollegiate of Pharmaceutical Sciences, Federal University of Vale do São Francisco, Petrolina, Pernambuco, Brazil.
Maria Rosângela Cunha Duarte CôelhoVirology Sector, Keizo Asami Institute, Federal University of Pernambuco, Recife, Pernambuco, Brazil.
José Valter Joaquim Silva JúniorVirology Sector, Keizo Asami Institute, 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 severity and distribution of dengue virus (DENV) infections have been attributed to a complex interaction among viral, host and environmental factors. Herein, we investigated the influence of chikungunya (CHIKV) and Zika (ZIKV) viruses on the epidemiological profile of dengue cases, using Recife, Pernambuco state, Brazil, as a study model. In addition, we described and compared the epidemiological profile related to each arbovirus (DENV vs. CHIKV vs. ZIKV).

methodsAll cases of dengue, chikungunya and Zika reported to the Pernambuco Health Department in 2011-2013 (DENV circulation) and 2016-2018 (DENV, CHIKV and ZIKV co-circulation) were included in our study. The cases were classified by sex, age and race/color and their distribution was analyzed by the χ

resultsDuring 2011-2013, 15,315 dengue cases were diagnosed, most of them female, brown and 20-29 age group. Between 2016 and 2018, 15,870 dengue cases were described, which presented the same profile described above. In the two triennia, the female/male dengue ratio fluctuated significantly, ranging from 1.07 to 1.52. Regarding chikungunya, 7076 cases were reported, most of them female and brown. The female/male ratio also fluctuated significantly, ranging from 1.62 to 2.1. Two main age groups were observed in chikungunya: ≤ 19 years (minority of diagnoses) and ≥ 20 years (majority of diagnoses). In the same triennium, 266 Zika cases were reported to the Pernambuco Health Department, mainly in females and in the 0-9 and 20-39 age groups. In general, 119 co-infections were identified: 117 DENV-CHIKV, 1 CHIKV-ZIKV and 1 DENV-CHIKV-ZIKV. Concerning climate data, only the humidity in 2011 was significantly different from the other years.

conclusionThe epidemiological profile of dengue cases did not change after the introduction of CHIKV and ZIKV. Females were the most diagnosed with dengue, chikungunya or Zika, however we found important differences in the age profile of these arboviruses, which should be considered by public health policies, as well as investigated in future studies of virus-host interaction.

Indexed as

ArbovirusesChikungunya FeverChikungunya virusCoinfectionDengueDengue VirusZika VirusZika Virus InfectionAdultFemaleHumansMaleYoung AdultArbovirus co-circulationBrazilBrownFemalePublic Health

Identifiers

PMID36949383
PMCPMC10035144

What OpenQuestion holds

Textfull text, public
LicenceCC BY
reference markers read20
measurements read57
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.