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

Ting Wu Chuang, Luis Fernando Chaves, Po Jiang Chen

Research output: Contribution to journalArticle

20 Citations (Scopus)

Abstract

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 climatebased 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.

Original languageEnglish
Article numbere0178698
JournalPLoS One
Volume12
Issue number6
DOIs
Publication statusPublished - Jun 1 2017

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dengue
Dengue
Taiwan
Disease Outbreaks
Climate
Indian Ocean
climate
angle of incidence
Incidence
oscillation
Alarm systems
Nonlinear Dynamics
nonlinear models
Time series
Temperature
early warning systems
incidence
prediction
time series analysis
temperature

ASJC Scopus subject areas

  • Medicine(all)
  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)

Cite this

Effects of local and regional climatic fluctuations on dengue outbreaks in southern Taiwan. / Chuang, Ting Wu; Chaves, Luis Fernando; Chen, Po Jiang.

In: PLoS One, Vol. 12, No. 6, e0178698, 01.06.2017.

Research output: Contribution to journalArticle

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