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

BACKGROUND: This 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. ME...

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Autores principales: Ferreira, Henrique dos Santos, Nóbrega, Ranyére Silva, Brito, Pedro Vinícius da Silva, Farias, Jéssica Pires, Amorim, Jaime Henrique, Moreira, Elvis Bergue Mariz, Mendez, Érick Carvalho, Luiz, Wilson Barros
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Sociedade Brasileira de Medicina Tropical - SBMT 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9176733/
https://www.ncbi.nlm.nih.gov/pubmed/35674563
http://dx.doi.org/10.1590/0037-8682-0671-2021
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author Ferreira, Henrique dos Santos
Nóbrega, Ranyére Silva
Brito, Pedro Vinícius da Silva
Farias, Jéssica Pires
Amorim, Jaime Henrique
Moreira, Elvis Bergue Mariz
Mendez, Érick Carvalho
Luiz, Wilson Barros
author_facet Ferreira, Henrique dos Santos
Nóbrega, Ranyére Silva
Brito, Pedro Vinícius da Silva
Farias, Jéssica Pires
Amorim, Jaime Henrique
Moreira, Elvis Bergue Mariz
Mendez, Érick Carvalho
Luiz, Wilson Barros
author_sort Ferreira, Henrique dos Santos
collection PubMed
description BACKGROUND: This 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. METHODS: Wavelet 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. RESULTS: Our 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. CONCLUSION: ENSO 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.
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spelling pubmed-91767332022-06-17 Impacts of El Niño Southern Oscillation on the dengue transmission dynamics in the Metropolitan Region of Recife, Brazil Ferreira, Henrique dos Santos Nóbrega, Ranyére Silva Brito, Pedro Vinícius da Silva Farias, Jéssica Pires Amorim, Jaime Henrique Moreira, Elvis Bergue Mariz Mendez, Érick Carvalho Luiz, Wilson Barros Rev Soc Bras Med Trop Major Article BACKGROUND: This 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. METHODS: Wavelet 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. RESULTS: Our 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. CONCLUSION: ENSO 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. Sociedade Brasileira de Medicina Tropical - SBMT 2022-06-06 /pmc/articles/PMC9176733/ /pubmed/35674563 http://dx.doi.org/10.1590/0037-8682-0671-2021 Text en https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License
spellingShingle Major Article
Ferreira, Henrique dos Santos
Nóbrega, Ranyére Silva
Brito, Pedro Vinícius da Silva
Farias, Jéssica Pires
Amorim, Jaime Henrique
Moreira, Elvis Bergue Mariz
Mendez, Érick Carvalho
Luiz, Wilson Barros
Impacts of El Niño Southern Oscillation on the dengue transmission dynamics in the Metropolitan Region of Recife, Brazil
title Impacts of El Niño Southern Oscillation on the dengue transmission dynamics in the Metropolitan Region of Recife, Brazil
title_full Impacts of El Niño Southern Oscillation on the dengue transmission dynamics in the Metropolitan Region of Recife, Brazil
title_fullStr Impacts of El Niño Southern Oscillation on the dengue transmission dynamics in the Metropolitan Region of Recife, Brazil
title_full_unstemmed Impacts of El Niño Southern Oscillation on the dengue transmission dynamics in the Metropolitan Region of Recife, Brazil
title_short Impacts of El Niño Southern Oscillation on the dengue transmission dynamics in the Metropolitan Region of Recife, Brazil
title_sort impacts of el niño southern oscillation on the dengue transmission dynamics in the metropolitan region of recife, brazil
topic Major Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9176733/
https://www.ncbi.nlm.nih.gov/pubmed/35674563
http://dx.doi.org/10.1590/0037-8682-0671-2021
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