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  • Weather variables and the El Niño Southern Oscillation may drive the epidemics of dengue in Guangdong Province, China

    Author(s)
    Xiao, Jianpeng
    Liu, Tao
    Lin, Hualiang
    Zhu, Guanghu
    Zeng, Weilin
    Li, Xing
    Zhang, Bing
    Song, Tie
    Deng, Aiping
    Zhang, Meng
    Zhong, Haojie
    Lin, Shao
    Rutherford, Shannon
    Meng, Xiaojing
    Zhang, Yonghui
    Ma, Wenjun
    Griffith University Author(s)
    Rutherford, Shannon
    Year published
    2018
    Metadata
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    Abstract
    Objective: To investigate the periodicity of dengue and the relationship between weather variables, El Niño Southern Oscillation (ENSO) and dengue incidence in Guangdong Province, China. Methods: Guangdong monthly dengue incidence and weather data and El Niño index information for 1988 to 2015 were collected. Wavelet analysis was used to investigate the periodicity of dengue, and the coherence and time-lag phases between dengue and weather variables and ENSO. The Generalized Additive Model (GAM) approach was further employed to explore the dose-response relationship of those variables on dengue. Finally, random forest ...
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    Objective: To investigate the periodicity of dengue and the relationship between weather variables, El Niño Southern Oscillation (ENSO) and dengue incidence in Guangdong Province, China. Methods: Guangdong monthly dengue incidence and weather data and El Niño index information for 1988 to 2015 were collected. Wavelet analysis was used to investigate the periodicity of dengue, and the coherence and time-lag phases between dengue and weather variables and ENSO. The Generalized Additive Model (GAM) approach was further employed to explore the dose-response relationship of those variables on dengue. Finally, random forest analysis was applied to measure the relative importance of the climate predictors. Results: Dengue in Guangdong has a dominant annual periodicity over the period 1988–2015. Mean minimum temperature, total precipitation, and mean relative humidity are positively related to dengue incidence for 2, 3, and 4 months lag, respectively. ENSO in the previous 12 months may have driven the dengue epidemics in 1995, 2002, 2006 and 2010 in Guangdong. GAM analysis indicates an approximate linear association for the temperature-dengue relationship, approximate logarithm curve for the humidity-dengue relationship, and an inverted U-shape association for the precipitation-dengue (the threshold of precipitation is 348 mm per month) and ENSO-dengue relationships (the threshold of ENSO index is 0.6 °C). The monthly mean minimum temperature in the previous two months was identified as the most important climate variable associated with dengue epidemics in Guangdong Province. Conclusion: Our study suggests weather factors and ENSO are important predictors of dengue incidence. These findings provide useful evidence for early warning systems to help to respond to the global expansion of dengue fever.
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    Journal Title
    Science of the Total Environment
    Volume
    624
    DOI
    https://doi.org/10.1016/j.scitotenv.2017.12.200
    Subject
    Other biomedical and clinical sciences not elsewhere classified
    Other health sciences not elsewhere classified
    Publication URI
    http://hdl.handle.net/10072/377076
    Collection
    • Journal articles

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