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李雯雯, 祝光湖. 气候对登革热传播的驱动机制和预测分析[J]. 桂林电子科技大学学报, 2018, 38(6): 491-495.
引用本文: 李雯雯, 祝光湖. 气候对登革热传播的驱动机制和预测分析[J]. 桂林电子科技大学学报, 2018, 38(6): 491-495.
LI Wenwen, ZHU Guanghu. The driving mechanism and predictive analysis of climate on dengue spread[J]. Journal of Guilin University of Electronic Technology, 2018, 38(6): 491-495.
Citation: LI Wenwen, ZHU Guanghu. The driving mechanism and predictive analysis of climate on dengue spread[J]. Journal of Guilin University of Electronic Technology, 2018, 38(6): 491-495.

气候对登革热传播的驱动机制和预测分析

The driving mechanism and predictive analysis of climate on dengue spread

  • 摘要: 为了分析气候因素对登革热传播的驱动机制,收集广东省1988-2015年登革热逐月发病数及同期气象因素,分别应用3种统计模型研究气象与登革热发病数之间的关系,得到最低气温、降雨量、相对湿度、气压、日照时间与登革热发病数之间关系的阈值分别为21℃,50 mm,72%,1005 hPa,150 h。分析结果表明,广东省气象因素与登革热发病呈非线性关系,且存在滞后效应,最佳拟合与预测模型为广义相加模型。

     

    Abstract: In order to analyze the driving mechanism of climate factors on the transmission of dengue fever, the monthly incidence of dengue fever in Guangdong Province from 1988 to 2015 and the meteorological factors in the same period were collected. Three statistical models were used to study the relationship between meteorology and the incidence of dengue fever. The thresholds of the relationship between the minimum temperature, rainfall, relative humidity, air pressure, sunshine time and the number of dengue fever cases were 21 ℃, 50 mm, 72%, 1005 hPa, 150 h, respectively. The results show that the meteorological factors in guangdong province have a nonlinear relationship with dengue fever, and there is a lag effect. The generalized additive model was best fitting and prediction model.

     

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