Common patterns between dengue cases, climate, and local environmental variables in Costa Rica: A wavelet approach

Dengue transmission poses significant challenges for public health authorities worldwide due to its susceptibility to various factors, including environmental and climate variability, affecting its incidence and geographic spread. This study focuses on Costa Rica, a country characterized by diverse...

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Published in:PLOS Global Public Health
Main Authors: García, Yury E., Chou-Chen, Shu Wei, Barboza, Luis A., Daza–Torres, Maria L., Montesinos-López, J. Cricelio, Vásquez, Paola, Calvo, Juan G., Nuño, Miriam, Sanchez, Fabio
Format: Text
Language:English
Published: Public Library of Science 2023
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Online Access:http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10586647/
https://doi.org/10.1371/journal.pgph.0002417
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spelling ftpubmed:oai:pubmedcentral.nih.gov:10586647 2023-11-12T04:22:40+01:00 Common patterns between dengue cases, climate, and local environmental variables in Costa Rica: A wavelet approach García, Yury E. Chou-Chen, Shu Wei Barboza, Luis A. Daza–Torres, Maria L. Montesinos-López, J. Cricelio Vásquez, Paola Calvo, Juan G. Nuño, Miriam Sanchez, Fabio 2023-10-19 http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10586647/ https://doi.org/10.1371/journal.pgph.0002417 en eng Public Library of Science http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10586647/ http://dx.doi.org/10.1371/journal.pgph.0002417 © 2023 García et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. PLOS Glob Public Health Research Article Text 2023 ftpubmed https://doi.org/10.1371/journal.pgph.0002417 2023-10-22T01:05:38Z Dengue transmission poses significant challenges for public health authorities worldwide due to its susceptibility to various factors, including environmental and climate variability, affecting its incidence and geographic spread. This study focuses on Costa Rica, a country characterized by diverse microclimates nearby, where dengue has been endemic since its introduction in 1993. Using wavelet coherence and clustering analysis, we performed a time-series analysis to uncover the intricate connections between climate, local environmental factors, and dengue occurrences. The findings indicate that multiannual dengue frequency (3 yr) is correlated with the Oceanic Niño Index and the Tropical North Atlantic Index. This association is particularly prominent in cantons located along the North and South Pacific Coast, as well as in the Central cantons of the country. Furthermore, the time series of these climate indices exhibit a leading phase of approximately nine months ahead of dengue cases. Additionally, the clustering analysis uncovers non-contiguous groups of cantons that exhibit similar correlation patterns, irrespective of their proximity or adjacency. This highlights the significance of climate factors in influencing dengue dynamics across diverse regions, regardless of spatial closeness or distance between them. On the other hand, the annual dengue frequency was correlated with local environmental indices. A persistent correlation between dengue cases and local environmental variables is observed over time in the North Pacific and the Central Region of the country’s Northwest, with environmental factors leading by less than three months. These findings contribute to understanding dengue transmission’s spatial and temporal dynamics in Costa Rica, highlighting the importance of climate and local environmental factors in dengue surveillance and control efforts. Text North Atlantic PubMed Central (PMC) Pacific PLOS Global Public Health 3 10 e0002417
institution Open Polar
collection PubMed Central (PMC)
op_collection_id ftpubmed
language English
topic Research Article
spellingShingle Research Article
García, Yury E.
Chou-Chen, Shu Wei
Barboza, Luis A.
Daza–Torres, Maria L.
Montesinos-López, J. Cricelio
Vásquez, Paola
Calvo, Juan G.
Nuño, Miriam
Sanchez, Fabio
Common patterns between dengue cases, climate, and local environmental variables in Costa Rica: A wavelet approach
topic_facet Research Article
description Dengue transmission poses significant challenges for public health authorities worldwide due to its susceptibility to various factors, including environmental and climate variability, affecting its incidence and geographic spread. This study focuses on Costa Rica, a country characterized by diverse microclimates nearby, where dengue has been endemic since its introduction in 1993. Using wavelet coherence and clustering analysis, we performed a time-series analysis to uncover the intricate connections between climate, local environmental factors, and dengue occurrences. The findings indicate that multiannual dengue frequency (3 yr) is correlated with the Oceanic Niño Index and the Tropical North Atlantic Index. This association is particularly prominent in cantons located along the North and South Pacific Coast, as well as in the Central cantons of the country. Furthermore, the time series of these climate indices exhibit a leading phase of approximately nine months ahead of dengue cases. Additionally, the clustering analysis uncovers non-contiguous groups of cantons that exhibit similar correlation patterns, irrespective of their proximity or adjacency. This highlights the significance of climate factors in influencing dengue dynamics across diverse regions, regardless of spatial closeness or distance between them. On the other hand, the annual dengue frequency was correlated with local environmental indices. A persistent correlation between dengue cases and local environmental variables is observed over time in the North Pacific and the Central Region of the country’s Northwest, with environmental factors leading by less than three months. These findings contribute to understanding dengue transmission’s spatial and temporal dynamics in Costa Rica, highlighting the importance of climate and local environmental factors in dengue surveillance and control efforts.
format Text
author García, Yury E.
Chou-Chen, Shu Wei
Barboza, Luis A.
Daza–Torres, Maria L.
Montesinos-López, J. Cricelio
Vásquez, Paola
Calvo, Juan G.
Nuño, Miriam
Sanchez, Fabio
author_facet García, Yury E.
Chou-Chen, Shu Wei
Barboza, Luis A.
Daza–Torres, Maria L.
Montesinos-López, J. Cricelio
Vásquez, Paola
Calvo, Juan G.
Nuño, Miriam
Sanchez, Fabio
author_sort García, Yury E.
title Common patterns between dengue cases, climate, and local environmental variables in Costa Rica: A wavelet approach
title_short Common patterns between dengue cases, climate, and local environmental variables in Costa Rica: A wavelet approach
title_full Common patterns between dengue cases, climate, and local environmental variables in Costa Rica: A wavelet approach
title_fullStr Common patterns between dengue cases, climate, and local environmental variables in Costa Rica: A wavelet approach
title_full_unstemmed Common patterns between dengue cases, climate, and local environmental variables in Costa Rica: A wavelet approach
title_sort common patterns between dengue cases, climate, and local environmental variables in costa rica: a wavelet approach
publisher Public Library of Science
publishDate 2023
url http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10586647/
https://doi.org/10.1371/journal.pgph.0002417
geographic Pacific
geographic_facet Pacific
genre North Atlantic
genre_facet North Atlantic
op_source PLOS Glob Public Health
op_relation http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10586647/
http://dx.doi.org/10.1371/journal.pgph.0002417
op_rights © 2023 García et al
https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
op_doi https://doi.org/10.1371/journal.pgph.0002417
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