Association between dengue fever incidence and meteorological factors in Guangzhou, China, 2005–2014

Jianjun Xiang, Alana Hansen, Qiyong Liu, Xiaobo Liu, Michael Xiaoliang Tong, Yehuan Sun, Scott Cameron, Scott Hanson-Easey, Gil Soo Han, Craig Williams, Philip Weinstein, Peng Bi

Research output: Contribution to journalArticleResearchpeer-review

Abstract

This study aims to (1) investigate the associations between climatic factors and dengue; and (2) identify the susceptible subgroups. De-identified daily dengue cases in Guangzhou for 2005–2014 were obtained from the Chinese Center for Disease Control and Prevention. Weather data were downloaded from the China Meteorological Data Sharing Service System. Distributed lag non-linear models (DLNM) were used to graphically demonstrate the three-dimensional temperature-dengue association. Generalised estimating equation models (GEE) with piecewise linear spline functions were used to quantify the temperature-dengue associations. Threshold values were estimated using a broken-stick model. Middle-aged and older people, people undertaking household duties, retirees, and those unemployed were at high risk of dengue. Reversed U-shaped non-linear associations were found between ambient temperature, relative humidity, extreme wind velocity, and dengue. The optimal maximum temperature (Tmax) range for dengue transmission in Guangzhou was 21.6–32.9 °C, and 11.2–23.7 °C for minimum temperature (Tmin). A 1 °C increase of Tmax and Tmin within these ranges was associated with 11.9% and 9.9% increase in dengue at lag0, respectively. Although lag effects of temperature were observed for up to 141 days for Tmax and 150 days for Tmin, the maximum lag effects were observed at 32 days and 39 days respectively. Average relative humidity was negatively associated with dengue when it exceeded 78.9%. Maximum wind velocity (&$2gt;10.7 m/s) inhibited dengue transmission. Climatic factors had significant impacts on dengue in Guangzhou. Lag effects of temperature on dengue lasted the local whole epidemic season. To reduce the likely increasing dengue burden, more efforts are needed to strengthen the capacity building of public health systems.

Original languageEnglish
Pages (from-to)17-26
Number of pages10
JournalEnvironmental Research
Volume153
DOIs
Publication statusPublished - 1 Feb 2017

Keywords

  • Climate change
  • Dengue fever
  • Guangzhou
  • Infectious disease
  • Weather

Cite this

Xiang, Jianjun ; Hansen, Alana ; Liu, Qiyong ; Liu, Xiaobo ; Tong, Michael Xiaoliang ; Sun, Yehuan ; Cameron, Scott ; Hanson-Easey, Scott ; Han, Gil Soo ; Williams, Craig ; Weinstein, Philip ; Bi, Peng. / Association between dengue fever incidence and meteorological factors in Guangzhou, China, 2005–2014. In: Environmental Research. 2017 ; Vol. 153. pp. 17-26.
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title = "Association between dengue fever incidence and meteorological factors in Guangzhou, China, 2005–2014",
abstract = "This study aims to (1) investigate the associations between climatic factors and dengue; and (2) identify the susceptible subgroups. De-identified daily dengue cases in Guangzhou for 2005–2014 were obtained from the Chinese Center for Disease Control and Prevention. Weather data were downloaded from the China Meteorological Data Sharing Service System. Distributed lag non-linear models (DLNM) were used to graphically demonstrate the three-dimensional temperature-dengue association. Generalised estimating equation models (GEE) with piecewise linear spline functions were used to quantify the temperature-dengue associations. Threshold values were estimated using a broken-stick model. Middle-aged and older people, people undertaking household duties, retirees, and those unemployed were at high risk of dengue. Reversed U-shaped non-linear associations were found between ambient temperature, relative humidity, extreme wind velocity, and dengue. The optimal maximum temperature (Tmax) range for dengue transmission in Guangzhou was 21.6–32.9 °C, and 11.2–23.7 °C for minimum temperature (Tmin). A 1 °C increase of Tmax and Tmin within these ranges was associated with 11.9{\%} and 9.9{\%} increase in dengue at lag0, respectively. Although lag effects of temperature were observed for up to 141 days for Tmax and 150 days for Tmin, the maximum lag effects were observed at 32 days and 39 days respectively. Average relative humidity was negatively associated with dengue when it exceeded 78.9{\%}. Maximum wind velocity (&$2gt;10.7 m/s) inhibited dengue transmission. Climatic factors had significant impacts on dengue in Guangzhou. Lag effects of temperature on dengue lasted the local whole epidemic season. To reduce the likely increasing dengue burden, more efforts are needed to strengthen the capacity building of public health systems.",
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Xiang, J, Hansen, A, Liu, Q, Liu, X, Tong, MX, Sun, Y, Cameron, S, Hanson-Easey, S, Han, GS, Williams, C, Weinstein, P & Bi, P 2017, 'Association between dengue fever incidence and meteorological factors in Guangzhou, China, 2005–2014' Environmental Research, vol. 153, pp. 17-26. https://doi.org/10.1016/j.envres.2016.11.009

Association between dengue fever incidence and meteorological factors in Guangzhou, China, 2005–2014. / Xiang, Jianjun; Hansen, Alana; Liu, Qiyong; Liu, Xiaobo; Tong, Michael Xiaoliang; Sun, Yehuan; Cameron, Scott; Hanson-Easey, Scott; Han, Gil Soo; Williams, Craig; Weinstein, Philip; Bi, Peng.

In: Environmental Research, Vol. 153, 01.02.2017, p. 17-26.

Research output: Contribution to journalArticleResearchpeer-review

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AU - Sun, Yehuan

AU - Cameron, Scott

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