Evidence map›Paper›PMID 34924014›Full record

ArticleParasites & vectors2021

Evidence of co-circulation of multiple arboviruses transmitted by Aedes species based on laboratory syndromic surveillance at a health unit in a slum of the Federal District, Brazil.

Paulo Rufalco-Moutinho, Lorena Aparecida Gonçalves de Noronha, Tatyane de Souza Cardoso Quintão, Tayane Ferreira Nobre, Ana Paula Sampaio Cardoso, Daiani Cristina Cilião-Alves, Marco Aurélio Bellocchio Júnior, Mateus de Paula von Glehn, Rodrigo Haddad, Gustavo Adolfo Sierra Romero and 1 more

Open access · goldAbstract read
In one paragraph

Article in Parasites & vectors, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed, 1 pooled it
1.4field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 1 synthesis or guideline pooled it, 9 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Article
  6. Research Development Using REDCap Software.Healthcare informatics research · 2021
    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

11 authors at 2 institutions in 1 country.

Paulo Rufalco-MoutinhoCenter of Tropical Medicine, University of Brasília, Federal District, Brazil. paulorufalco@gmail.com.ORCID http://orcid.org/0000-0003-2540-2869
Lorena Aparecida Gonçalves de NoronhaCeilândia Faculty, University of Brasília, Federal District, Brazil.
Tatyane de Souza Cardoso QuintãoCenter of Tropical Medicine, University of Brasília, Federal District, Brazil.
Tayane Ferreira NobreCenter of Tropical Medicine, University of Brasília, Federal District, Brazil.
Ana Paula Sampaio CardosoCenter of Tropical Medicine, University of Brasília, Federal District, Brazil.
Daiani Cristina Cilião-AlvesUNIEURO University Center, Federal District, Brazil.
Marco Aurélio Bellocchio JúniorFederal District Department of Health, Federal District, Brazil.
Mateus de Paula von GlehnFederal District Department of Health, Federal District, Brazil.
Rodrigo HaddadCenter of Tropical Medicine, University of Brasília, Federal District, Brazil.
Gustavo Adolfo Sierra RomeroCenter of Tropical Medicine, University of Brasília, Federal District, Brazil.
Wildo Navegantes de AraújoCenter of Tropical Medicine, University of Brasília, Federal District, Brazil.
Universidade de Brasília · BRCentro Universitário Euroamericano · BR

Funding

Conselho Nacional de Desenvolvimento Científico e Tecnológico 440844/2016-9Fundação de Apoio à Pesquisa do Distrito Federal 0193.000.416/2016
6 · The paper itself

Abstract

backgroundVector-borne diseases, especially arboviruses transmitted by Aedes sp. mosquitos, should be a health policy priority in Brazil. Despite this urgency, there are significant limitations in the traditional surveillance system, mainly in vulnerable areas. This study aimed to investigate the circulation of dengue (DENV), Zika (ZIKV), and chikungunya viruses (CHIKV) by laboratory syndromic surveillance (LSS) in a slum area of the Federal District of Brazil, comparing the results with traditional surveillance data.

methodsLSS for acute febrile and/or exanthematous symptoms was developed at a health unit of Cidade Estrutural, in order to identify the circulation of arboviruses transmitted by Aedes sp. mosquitos. Between June 2019 and March 2020, 131 valid participants were identified and sera tested by reverse transcription polymerase chain reaction (RT-PCR) for DENV (by serotype), ZIKV, and CHIKV acute infection and by immunoglobulin M enzyme-inked immunosorbent assay (ELISA-IgM) for DENV and CHIKV 15-21 days after symptom onset, when the participant reported no respiratory signs (cough and/or coryza). The results obtained were compared with traditional surveillance data for the study area and period.

resultsAt least three DENV-1 (2.3%), four DENV-2 (3%), and one CHIKV (0.7%) cases were confirmed in the laboratory, showing evidence of hyperendemicity even though LSS had not reached the historic peak dengue fever months in the Federal District (April-May). When the results obtained here were compared with traditional surveillance, a significant discrepancy was observed, including underreporting of CHIKV infection.

conclusionsIn addition to the risks posed to the study population, the area investigated with its respective socio-environmental profile may be a potential site for spread of the virus, given the cosmopolitan presence of Aedes sp. and human mobility in the Federal District. It is also suggested that traditional epidemiological surveillance may be reporting acute viral infections other than DENV as dengue fever, while underreporting other arboviruses transmitted by Aedes sp. mosquitos in the Federal District.

Indexed as

Poverty AreasAedesAnimalsArbovirusesArbovirus InfectionsBrazilHumansPopulation SurveillanceReverse Transcriptase Polymerase Chain ReactionRisk FactorsRNA, ViralRNA, ViralAedes sp.ArbovirusesBrazilChikungunyaDengueSyndromic surveillanceTraditional surveillance

Identifiers

PMID34924014
PMCPMC8684590
OpenAlexW4200091220

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.