Evidence map›Paper›PMID 34855759›Full record

ArticlePLoS neglected tropical diseases2021

Impact of the introduction of chikungunya and zika viruses on the incidence of dengue in endemic zones of Mexico.

Larissa Fernandes-Matano, Irma Eloisa Monroy-Muñoz, Hector Daniel Pardavé-Alejandre, Luis Antonio Uribe-Noguez, María de Los Angeles Hernández-Cueto, Teresita Rojas-Mendoza, Clara Esperanza Santacruz-Tinoco, Concepción Grajales-Muñiz, José Esteban Muñoz-Medina

Open access · goldAbstract read
In one paragraph

Article in PLoS neglected tropical diseases, 2021. 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
0.8field-weighted citation impact, top 25% 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

5 citing papers in PubMed, 7 citations in OpenAlex.

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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

9 authors at 2 institutions in 1 country.

Larissa Fernandes-MatanoLaboratorio Central de Epidemiología, Instituto Mexicano del Seguro Social, Mexico City, Mexico.
Irma Eloisa Monroy-MuñozLaboratorio de Genómica, Departamento de Genética y Genómica Humana, Instituto Nacional de Perinatología "Isidro Espinosa de los Reyes", Mexico City, Mexico.ORCID 0000-0001-8737-8935
Hector Daniel Pardavé-AlejandreLaboratorio Central de Epidemiología, Instituto Mexicano del Seguro Social, Mexico City, Mexico.ORCID 0000-0002-9782-035X
Luis Antonio Uribe-NoguezLaboratorio Central de Epidemiología, Instituto Mexicano del Seguro Social, Mexico City, Mexico.ORCID 0000-0003-2452-782X
María de Los Angeles Hernández-CuetoLaboratorio Central de Epidemiología, Instituto Mexicano del Seguro Social, Mexico City, Mexico.ORCID 0000-0003-2710-8305
Teresita Rojas-MendozaCoordinación de Control Técnico de Insumos, Instituto Mexicano del Seguro Social, Mexico City, Mexico.ORCID 0000-0002-6658-1739
Clara Esperanza Santacruz-TinocoDivisión de Laboratorios de Vigilancia e Investigación Epidemiológica, Mexico City, Mexico.
Concepción Grajales-MuñizCoordinación de Control Técnico de Insumos, Instituto Mexicano del Seguro Social, Mexico City, Mexico.ORCID 0000-0001-7923-5344
José Esteban Muñoz-MedinaLaboratorio Central de Epidemiología, Instituto Mexicano del Seguro Social, Mexico City, Mexico.ORCID 0000-0002-1289-4457
Mexican Social Security Institute · MXInstituto Nacional de Perinatología · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundWith the arrival of chikungunya (CHIKV) and zika (ZIKV) viruses in Mexico, there was a decrease in diagnosed dengue virus (DENV) cases. During the first years of cocirculation (2015-2017), the algorithms established by epidemiological surveillance systems and the installed capacity limited us to one diagnostic test per sample, so there was an underestimation of cases until September 2017, when a multiplex algorithm was implemented. Therefore, the objective of this study was determine the impact of the introduction of CHIKV and ZIKV on the incidence of diagnosed DENV in endemic areas of Mexico, when performing the rediagnosis, using the multiplex algorithm, in samples from the first three years of co-circulation of these arboviruses. METHODOLOGY AND PRINCIPAL

findingsFor this, 1038 samples received by the Central Laboratory of Epidemiology between 2015 and 2017 were selected for this work. Viruses were identified by multiplex RT-qPCR, and the χ2 test was used to compare categorical variables. With the new multiplex algorithm, we identified 2.4 times the rate of arbovirosis as originally reported, evidencing an underestimation of the incidence of the three viruses. Even so, significantly less dengue was observed than in previous years. The high incidence rates of chikungunya and Zika coincided with periods of dengue decline. The endemic channel showed that the cases caused by DENV rose again after the circulation of CHIKV and ZIKV decreased. In addition, 23 cases of coinfection were identified, with combinations between all viruses. CONCLUSIONS AND SIGNIFICANCE: The results obtained in this study show for the first time the real impact on the detected incidence of dengue after the introduction of CHIKV and ZIKV in Mexico, the degree of underestimation of these arboviruses in the country, as well as the co-infections between these viruses, whose importance clinical and epidemiological are still unknown.

Indexed as

AdolescentAdultAgedAged, 80 and overAlgorithmsAntibodies, ViralChikungunya FeverChildChild, PreschoolCoinfectionCross-Sectional StudiesDengueEndemic DiseasesFemaleHumansIncidenceAntibodies, Viral

Identifiers

PMID34855759
PMCPMC8638990
OpenAlexW3216057712

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.