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Effects of local and regional climatic fluctuations on dengue outbreaks in southern Taiwan

BACKGROUND: Southern Taiwan has been a hotspot for dengue fever transmission since 1998. During 2014 and 2015, Taiwan experienced unprecedented dengue outbreaks and the causes are poorly understood. This study aims to investigate the influence of regional and local climate conditions on the incidenc...

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Autores principales: Chuang, Ting-Wu, Chaves, Luis Fernando, Chen, Po-Jiang
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5456348/
https://www.ncbi.nlm.nih.gov/pubmed/28575035
http://dx.doi.org/10.1371/journal.pone.0178698
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author Chuang, Ting-Wu
Chaves, Luis Fernando
Chen, Po-Jiang
author_facet Chuang, Ting-Wu
Chaves, Luis Fernando
Chen, Po-Jiang
author_sort Chuang, Ting-Wu
collection PubMed
description BACKGROUND: Southern Taiwan has been a hotspot for dengue fever transmission since 1998. During 2014 and 2015, Taiwan experienced unprecedented dengue outbreaks and the causes are poorly understood. This study aims to investigate the influence of regional and local climate conditions on the incidence of dengue fever in Taiwan, as well as to develop a climate-based model for future forecasting. METHODOLOGY/PRINCIPLE FINDINGS: Historical time-series data on dengue outbreaks in southern Taiwan from 1998 to 2015 were investigated. Local climate variables were analyzed using a distributed lag non-linear model (DLNM), and the model of best fit was used to predict dengue incidence between 2013 and 2015. The cross-wavelet coherence approach was used to evaluate the regional El Niño Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD) effects on dengue incidence and local climate variables. The DLNM results highlighted the important non-linear and lag effects of minimum temperature and precipitation. Minimum temperature above 23°C or below 17°C can increase dengue incidence rate with lag effects of 10 to 15 weeks. Moderate to high precipitation can increase dengue incidence rates with a lag of 10 or 20 weeks. The model of best fit successfully predicted dengue transmission between 2013 and 2015. The prediction accuracy ranged from 0.7 to 0.9, depending on the number of weeks ahead of the prediction. ENSO and IOD were associated with nonstationary inter-annual patterns of dengue transmission. IOD had a greater impact on the seasonality of local climate conditions. CONCLUSIONS/SIGNIFICANCE: Our findings suggest that dengue transmission can be affected by regional and local climatic fluctuations in southern Taiwan. The climate-based model developed in this study can provide important information for dengue early warning systems in Taiwan. Local climate conditions might be influenced by ENSO and IOD, to result in unusual dengue outbreaks.
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spelling pubmed-54563482017-06-12 Effects of local and regional climatic fluctuations on dengue outbreaks in southern Taiwan Chuang, Ting-Wu Chaves, Luis Fernando Chen, Po-Jiang PLoS One Research Article BACKGROUND: Southern Taiwan has been a hotspot for dengue fever transmission since 1998. During 2014 and 2015, Taiwan experienced unprecedented dengue outbreaks and the causes are poorly understood. This study aims to investigate the influence of regional and local climate conditions on the incidence of dengue fever in Taiwan, as well as to develop a climate-based model for future forecasting. METHODOLOGY/PRINCIPLE FINDINGS: Historical time-series data on dengue outbreaks in southern Taiwan from 1998 to 2015 were investigated. Local climate variables were analyzed using a distributed lag non-linear model (DLNM), and the model of best fit was used to predict dengue incidence between 2013 and 2015. The cross-wavelet coherence approach was used to evaluate the regional El Niño Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD) effects on dengue incidence and local climate variables. The DLNM results highlighted the important non-linear and lag effects of minimum temperature and precipitation. Minimum temperature above 23°C or below 17°C can increase dengue incidence rate with lag effects of 10 to 15 weeks. Moderate to high precipitation can increase dengue incidence rates with a lag of 10 or 20 weeks. The model of best fit successfully predicted dengue transmission between 2013 and 2015. The prediction accuracy ranged from 0.7 to 0.9, depending on the number of weeks ahead of the prediction. ENSO and IOD were associated with nonstationary inter-annual patterns of dengue transmission. IOD had a greater impact on the seasonality of local climate conditions. CONCLUSIONS/SIGNIFICANCE: Our findings suggest that dengue transmission can be affected by regional and local climatic fluctuations in southern Taiwan. The climate-based model developed in this study can provide important information for dengue early warning systems in Taiwan. Local climate conditions might be influenced by ENSO and IOD, to result in unusual dengue outbreaks. Public Library of Science 2017-06-02 /pmc/articles/PMC5456348/ /pubmed/28575035 http://dx.doi.org/10.1371/journal.pone.0178698 Text en © 2017 Chuang et al http://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
spellingShingle Research Article
Chuang, Ting-Wu
Chaves, Luis Fernando
Chen, Po-Jiang
Effects of local and regional climatic fluctuations on dengue outbreaks in southern Taiwan
title Effects of local and regional climatic fluctuations on dengue outbreaks in southern Taiwan
title_full Effects of local and regional climatic fluctuations on dengue outbreaks in southern Taiwan
title_fullStr Effects of local and regional climatic fluctuations on dengue outbreaks in southern Taiwan
title_full_unstemmed Effects of local and regional climatic fluctuations on dengue outbreaks in southern Taiwan
title_short Effects of local and regional climatic fluctuations on dengue outbreaks in southern Taiwan
title_sort effects of local and regional climatic fluctuations on dengue outbreaks in southern taiwan
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5456348/
https://www.ncbi.nlm.nih.gov/pubmed/28575035
http://dx.doi.org/10.1371/journal.pone.0178698
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