Institute for Communicable Disease Control and Prevention, Gansu Center for Diseases Prevention and Control, Lanzhou, Gansu, China.
School of Public Health and Social Work, Institute of Health and Biomedical Innovation, Queensland University of Technology, Brisbane, Queensland, Australia.
BMC Infect Dis. 2018 Jan 8;18(1):15. doi: 10.1186/s12879-017-2860-4.
To determine the linear and non-linear interacting relationships between weather factors and hand, foot and mouth disease (HFMD) in children in Gansu, China, and gain further traction as an early warning signal based on weather variability for HFMD transmission.
Weekly HFMD cases aged less than 15 and meteorological information from 2010 to 2014 in Jiuquan, Lanzhou and Tianshu, Gansu, China were collected. Generalized linear regression models (GLM) with Poisson link and classification and regression trees (CART) were employed to determine the combined and interactive relationship of weather factors and HFMD in both linear and non-linear ways.
GLM suggested an increase in weekly HFMD of 5.9% [95% confidence interval (CI): 5.4%, 6.5%] in Tianshui, 2.8% [2.5%, 3.1%] in Lanzhou and 1.8% [1.4%, 2.2%] in Jiuquan in association with a 1 °C increase in average temperature, respectively. And 1% increase of relative humidity could increase weekly HFMD of 2.47% [2.23%, 2.71%] in Lanzhou and 1.11% [0.72%, 1.51%] in Tianshui. CART revealed that average temperature and relative humidity were the first two important determinants, and their threshold values for average temperature deceased from 20 °C of Jiuquan to 16 °C in Tianshui; and for relative humidity, threshold values increased from 38% of Jiuquan to 65% of Tianshui.
Average temperature was the primary weather factor in three areas, more sensitive in southeast Tianshui, compared with northwest Jiuquan; Relative humidity's effect on HFMD showed a non-linear interacting relationship with average temperature.
为了确定中国甘肃地区天气因素与手足口病(HFMD)之间的线性和非线性相互关系,并基于天气变化获得 HFMD 传播的早期预警信号。
收集了 2010 年至 2014 年期间,中国甘肃酒泉、兰州和天水的小于 15 岁的每周 HFMD 病例和气象信息。采用广义线性回归模型(GLM)与泊松联系和分类回归树(CART),以线性和非线性的方式确定天气因素与 HFMD 的联合和交互关系。
GLM 表明,平均温度每升高 1°C,天水每周 HFMD 分别增加 5.9%[95%置信区间(CI):5.4%,6.5%],兰州增加 2.8%[2.5%,3.1%],酒泉增加 1.8%[1.4%,2.2%]。相对湿度每增加 1%,兰州每周 HFMD 分别增加 2.47%[2.23%,2.71%],天水增加 1.11%[0.72%,1.51%]。CART 显示,平均温度和相对湿度是前两个重要决定因素,平均温度的阈值从酒泉的 20°C 下降到天水的 16°C;而相对湿度的阈值从酒泉的 38%上升到天水的 65%。
在三个地区中,平均温度是主要的气象因素,东南地区的天水比西北地区的酒泉更为敏感;相对湿度对 HFMD 的影响与平均温度呈非线性相互关系。