Evidence map›Paper›PMID 35674563›Full record

ArticleRevista da Sociedade Brasileira de Medicina Tropical2022

Impacts of El Niño Southern Oscillation on the dengue transmission dynamics in the Metropolitan Region of Recife, Brazil.

Henrique Dos Santos Ferreira, Ranyére Silva Nóbrega, Pedro Vinícius da Silva Brito, Jéssica Pires Farias, Jaime Henrique Amorim, Elvis Bergue Mariz Moreira, Érick Carvalho Mendez, Wilson Barros Luiz

Open access · diamondAbstract read
In one paragraph

Article in Revista da Sociedade Brasileira de Medicina Tropical, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

12 citing papers in PubMed, 20 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

8 authors at 4 institutions in 1 country.

Henrique Dos Santos FerreiraUniversidade Federal de Pernambuco, Programa de Pós-Graduação em Geografia, Recife, PE, Brasil.ORCID http://orcid.org/0000-0003-3134-4984
Ranyére Silva NóbregaUniversidade Federal de Pernambuco, Programa de Pós-Graduação em Geografia, Recife, PE, Brasil.ORCID http://orcid.org/0000-0001-9097-1537
Pedro Vinícius da Silva BritoInstituto Nacional de Pesquisas Espaciais, Programa de Pós-Graduação em Computação Aplicada, São José dos Campos, SP, Brasil.ORCID http://orcid.org/0000-0002-9937-1105
Jéssica Pires FariasUniversidade Federal do Oeste da Bahia, Programa Multicêntrico de Pós-Graduação em Bioquímica e Biologia Molecular, Barreias, BA, Brasil.ORCID http://orcid.org/0000-0001-5479-8175
Jaime Henrique AmorimUniversidade Federal do Oeste da Bahia, Programa Multicêntrico de Pós-Graduação em Bioquímica e Biologia Molecular, Barreias, BA, Brasil.ORCID http://orcid.org/0000-0002-0623-2879
Elvis Bergue Mariz MoreiraUniversidade Federal do Oeste da Bahia, Centro das Humanidades, Barreiras, BA, Brasil.ORCID http://orcid.org/0000-0001-6732-3005
Érick Carvalho MendezUniversidade Estadual de Santa Cruz, Programa de Pós-Graduação em Biologia e Biotecnologia de Microrganismos, Ilhéus, BA, Brasil.ORCID http://orcid.org/0000-0002-8546-4204
Wilson Barros LuizUniversidade Estadual de Santa Cruz, Programa de Pós-Graduação em Biologia e Biotecnologia de Microrganismos, Ilhéus, BA, Brasil.ORCID http://orcid.org/0000-0003-3265-8547
Universidade Federal do Oeste da Bahia · BRUniversidade Estadual de Santa Cruz · BRUniversidade Federal de Pernambuco · BRInstituto Nacional de Pesquisas Espaciais · BR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis research addresses two questions: (1) how El Niño Southern Oscillation (ENSO) affects climate variability and how it influences dengue transmission in the Metropolitan Region of Recife (MRR), and (2) whether the epidemic in MRR municipalities has any connection and synchronicity.

methodsWavelet analysis and cross-correlation were applied to characterize seasonality, multiyear cycles, and relative delays between the series. This study was developed into two distinct periods. Initially, we performed periodic dengue incidence and intercity epidemic synchronism analyses from 2001 to 2017. We then defined the period from 2001 to 2016 to analyze the periodicity of climatic variables and their coherence with dengue incidence.

resultsOur results showed systematic cycles of 3-4 years with a recent shortening trend of 2-3 years. Climatic variability, such as positive anomalous temperatures and reduced rainfall due to changes in sea surface temperature (SST), is partially linked to the changing epidemiology of the disease, as this condition provides suitable environments for the Aedes aegypti lifecycle.

conclusionENSO may have influenced the dengue temporal patterns in the MRR, transiently reducing its main way of multiyear variability (3-4 years) to 2-3 years. Furthermore, when the epidemic coincided with El Niño years, it spread regionally and was highly synchronized.

Indexed as

AedesDengueAnimalsBrazilEl Nino-Southern OscillationTemperature

Identifiers

PMID35674563
PMCPMC9176733
OpenAlexW4285181460

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.