Climatic thresholds associated with increased dengue incidence across climate zones in Peru (2001-2022)

Descripción del Articulo

Dengue fever has experienced a global rise in incidence and distribution, largely influenced by climate variability. Nonetheless, the specific climatic thresholds that trigger elevated dengue incidence rates, and the time lag between weather conditions and the case surges remain uncertain. Average w...

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Detalles Bibliográficos
Autores: Laura, Wil, Rivera, Patricia, Davila, Cristina, Velasquez, Pierre, Mateo, Susan, Yon, Carmen, Valderrama, Betsabet, Vargas, Tania Ita
Formato: artículo
Fecha de Publicación:2025
Institución:Servicio Nacional de Meteorología e Hidrología del Perú
Repositorio:SENAMHI-Institucional
Lenguaje:español
OAI Identifier:oai:repositorio.senamhi.gob.pe:20.500.12542/4536
Enlace del recurso:https://hdl.handle.net/20.500.12542/4536
https://doi.org/10.1016/j.joclim.2025.100546
Nivel de acceso:acceso abierto
Materia:Climatic
Dengue
Climate Zones
https://purl.org/pe-repo/ocde/ford#1.05.09
temperatura - Aire y Atmósfera
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dc.title.es_PE.fl_str_mv Climatic thresholds associated with increased dengue incidence across climate zones in Peru (2001-2022)
title Climatic thresholds associated with increased dengue incidence across climate zones in Peru (2001-2022)
spellingShingle Climatic thresholds associated with increased dengue incidence across climate zones in Peru (2001-2022)
Laura, Wil
Climatic
Dengue
Climate Zones
https://purl.org/pe-repo/ocde/ford#1.05.09
temperatura - Aire y Atmósfera
title_short Climatic thresholds associated with increased dengue incidence across climate zones in Peru (2001-2022)
title_full Climatic thresholds associated with increased dengue incidence across climate zones in Peru (2001-2022)
title_fullStr Climatic thresholds associated with increased dengue incidence across climate zones in Peru (2001-2022)
title_full_unstemmed Climatic thresholds associated with increased dengue incidence across climate zones in Peru (2001-2022)
title_sort Climatic thresholds associated with increased dengue incidence across climate zones in Peru (2001-2022)
author Laura, Wil
author_facet Laura, Wil
Rivera, Patricia
Davila, Cristina
Velasquez, Pierre
Mateo, Susan
Yon, Carmen
Valderrama, Betsabet
Vargas, Tania Ita
author_role author
author2 Rivera, Patricia
Davila, Cristina
Velasquez, Pierre
Mateo, Susan
Yon, Carmen
Valderrama, Betsabet
Vargas, Tania Ita
author2_role author
author
author
author
author
author
author
dc.contributor.author.fl_str_mv Laura, Wil
Rivera, Patricia
Davila, Cristina
Velasquez, Pierre
Mateo, Susan
Yon, Carmen
Valderrama, Betsabet
Vargas, Tania Ita
dc.subject.es_PE.fl_str_mv Climatic
Dengue
Climate Zones
topic Climatic
Dengue
Climate Zones
https://purl.org/pe-repo/ocde/ford#1.05.09
temperatura - Aire y Atmósfera
dc.subject.ocde.es_PE.fl_str_mv https://purl.org/pe-repo/ocde/ford#1.05.09
dc.subject.sinia.es_PE.fl_str_mv temperatura - Aire y Atmósfera
description Dengue fever has experienced a global rise in incidence and distribution, largely influenced by climate variability. Nonetheless, the specific climatic thresholds that trigger elevated dengue incidence rates, and the time lag between weather conditions and the case surges remain uncertain. Average weekly climate variables along with weekly dengue incidence rates from 2001 and 2022 were analyzed in districts grouped by its climate zone. A cross-correlation technique was used to determine the time lag between climatic variables and dengue incidence, while a fine-tuned regression tree model was utilized to identify climatic thresholds linked to the incidence of dengue surges.This study identified distinct climatic thresholds that were met within a 20-week window preceding elevated dengue incidence rates in the six climate zones with the highest dengue prevalence in Peru. These insights enable dengue incidence rates forecasting weeks in advance using climatic data, offering a valuable tool for dengue mitigation and early intervention.
publishDate 2025
dc.date.accessioned.none.fl_str_mv 2025-10-24T20:49:10Z
dc.date.available.none.fl_str_mv 2025-10-24T20:49:10Z
dc.date.issued.fl_str_mv 2025
dc.type.es_PE.fl_str_mv info:eu-repo/semantics/article
dc.type.sinia.es_PE.fl_str_mv text/publicacion cientifica
format article
dc.identifier.uri.none.fl_str_mv https://hdl.handle.net/20.500.12542/4536
dc.identifier.doi.none.fl_str_mv https://doi.org/10.1016/j.joclim.2025.100546
dc.identifier.journal.es_PE.fl_str_mv The Journal of Climate Change and Health
dc.identifier.url.none.fl_str_mv https://hdl.handle.net/20.500.12542/4536
https://hdl.handle.net/20.500.12542/4536
url https://hdl.handle.net/20.500.12542/4536
https://doi.org/10.1016/j.joclim.2025.100546
identifier_str_mv The Journal of Climate Change and Health
dc.language.iso.es_PE.fl_str_mv spa
language spa
dc.relation.isformatof.none.fl_str_mv rn:issn: 2667-2782
dc.relation.uri.es_PE.fl_str_mv https://www.sciencedirect.com/science/article/pii/S2667278225000628?pes=vor&utm_source=scopus&getft_integrator=scopus
dc.rights.es_PE.fl_str_mv info:eu-repo/semantics/openAccess
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eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-nd/4.0/
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dc.publisher.es_PE.fl_str_mv Elsevier
dc.publisher.country.es_PE.fl_str_mv NL
dc.source.es_PE.fl_str_mv Repositorio Institucional - SENAMHI
Servicio Nacional de Meteorología e Hidrología del Perú
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instname:Servicio Nacional de Meteorología e Hidrología del Perú
instacron:SENAMHI
instname_str Servicio Nacional de Meteorología e Hidrología del Perú
instacron_str SENAMHI
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reponame_str SENAMHI-Institucional
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spelling Laura, WilRivera, PatriciaDavila, CristinaVelasquez, PierreMateo, SusanYon, CarmenValderrama, BetsabetVargas, Tania Ita2025-10-24T20:49:10Z2025-10-24T20:49:10Z2025https://hdl.handle.net/20.500.12542/4536https://doi.org/10.1016/j.joclim.2025.100546The Journal of Climate Change and Healthhttps://hdl.handle.net/20.500.12542/4536https://hdl.handle.net/20.500.12542/4536Dengue fever has experienced a global rise in incidence and distribution, largely influenced by climate variability. Nonetheless, the specific climatic thresholds that trigger elevated dengue incidence rates, and the time lag between weather conditions and the case surges remain uncertain. Average weekly climate variables along with weekly dengue incidence rates from 2001 and 2022 were analyzed in districts grouped by its climate zone. A cross-correlation technique was used to determine the time lag between climatic variables and dengue incidence, while a fine-tuned regression tree model was utilized to identify climatic thresholds linked to the incidence of dengue surges.This study identified distinct climatic thresholds that were met within a 20-week window preceding elevated dengue incidence rates in the six climate zones with the highest dengue prevalence in Peru. 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