Zhao Qinglong, Yang Xiaodi, Liu Hongjian, Hu Yixin, He Minfu, Huang Biao, Yao Laishun, Li Na, Zhou Ge, Yin Yuan, Li Meina, Gong Ping, Liu Meitian, Ma Juan, Ren Zheng, Wang Qi, Xiong Wenjing, Fan Xinwen, Guo Xia, Zhang Xiumin
Jilin Provincial Center for Disease Control and Prevention.
Department of Epidemiology and Biostatistics, School of Public Health, Jilin University.
Medicine (Baltimore). 2019 Mar;98(9):e14640. doi: 10.1097/MD.0000000000014640.
Hemorrhagic fever with renal syndrome (HFRS) is a rodent-borne disease caused by hantaviruses (HVs). Climate factors have a significant impact on the transmission of HFRS. Here, we characterized the dynamic temporal trend of HFRS and identified the roles of climate factors in its transmission in Changchun, China.Surveillance data of HFRS cases and data on related environmental variables from 2013 to 2017 were collected. A principal components regression (PCR) model was used to quantify the relationship between climate factors and transmission of HFRS.During 2013 to 2017, a distinctly declining temporal trend of annual HFRS incidence was identified. Four principal components were extracted, with a cumulative contribution rate of 89.282%. The association between HFRS epidemics and climate factors was better explained by the PCR model (F = 10.050, P <.001, adjusted R = 0.456) than by the general multiple regression model (F = 2.748, P <.005, adjusted R = 0.397).The monthly trends of HFRS were positively correlated with the mean wind velocity but negatively correlated with the mean temperature, relative humidity, sunshine duration, and accumulative precipitation of the different previous months. The study results may be useful for the development of HFRS preventive initiatives that are customized for Changchun regarding specific climate environments.
肾综合征出血热(HFRS)是一种由汉坦病毒(HV)引起的鼠传疾病。气候因素对肾综合征出血热的传播有重大影响。在此,我们描述了肾综合征出血热的动态时间趋势,并确定了气候因素在中国长春其传播中的作用。收集了2013年至2017年肾综合征出血热病例的监测数据和相关环境变量的数据。使用主成分回归(PCR)模型来量化气候因素与肾综合征出血热传播之间的关系。
在2013年至2017年期间,确定了肾综合征出血热年发病率明显下降的时间趋势。提取了四个主成分,累积贡献率为89.282%。与一般多元回归模型(F = 2.748,P <.005,调整后R = 0.397)相比,PCR模型(F = 10.050,P <.001,调整后R = 0.456)能更好地解释肾综合征出血热流行与气候因素之间的关联。肾综合征出血热的月度趋势与平均风速呈正相关,但与前几个不同月份的平均温度、相对湿度、日照时长和累积降水量呈负相关。研究结果可能有助于制定针对长春特定气候环境的肾综合征出血热预防措施。