Guangzhou Center for Disease Control and Prevention, Guangzhou, Guangdong province, China.
The First Affiliated Hospital of Guangzhou University of Chinese Medicine, Guangzhou, Guangdong province, China.
PLoS Negl Trop Dis. 2018 Jun 27;12(6):e0006604. doi: 10.1371/journal.pntd.0006604. eCollection 2018 Jun.
The epidemic tendency of hemorrhagic fever with renal syndrome (HFRS) is on the rise in recent years in Guangzhou. This study aimed to explore the associations between meteorological factors and HFRS epidemic risk in Guangzhou for the period from 2006-2015.
We obtained data of HFRS cases in Guangzhou from the National Notifiable Disease Report System (NNDRS) during the period of 2006-2015. Meteorological data were obtained from the Guangzhou Meteorological Bureau. A negative binomial multivariable regression was used to explore the relationship between meteorological variables and HFRS.
The annual average incidence was 0.92 per 100000, with the annual incidence ranging from 0.64/100000 in 2009 to 1.05/100000 in 2012. The monthly number of HFRS cases decreased by 5.543% (95%CI -5.564% to -5.523%) each time the temperature was increased by 1°C and the number of cases decreased by 0.075% (95%CI -0.076% to -0.074%) each time the aggregate rainfall was increased by 1 mm. We found that average temperature with a one-month lag was significantly associated with HFRS transmission.
Meteorological factors had significant association with occurrence of HFRS in Guangzhou, Southern China. This study provides preliminary information for further studies on epidemiological prediction of HFRS and for developing an early warning system.
近年来,广州肾综合征出血热(HFRS)的流行趋势呈上升趋势。本研究旨在探讨 2006-2015 年期间气象因素与广州 HFRS 流行风险的关系。
我们从 2006-2015 年全国传染病报告系统(NNDRS)中获取了广州 HFRS 病例数据。气象数据来自广州市气象局。采用负二项多变量回归模型探讨气象变量与 HFRS 之间的关系。
年平均发病率为 0.92/10 万,发病率范围为 2009 年的 0.64/10 万至 2012 年的 1.05/10 万。每次气温升高 1°C,HFRS 病例数减少 5.543%(95%CI-5.564%至-5.523%),每次总降雨量增加 1 毫米,病例数减少 0.075%(95%CI-0.076%至-0.074%)。我们发现,滞后一个月的平均温度与 HFRS 传播有显著相关性。
气象因素与中国南方广州 HFRS 的发生有显著关联。本研究为进一步研究 HFRS 的流行病学预测和开发预警系统提供了初步信息。