Yang Z R, Li X, Shao Z J, Ma W T, Yuan X J, Wu K J, Liu K
Department of Epidemiology, School of Military Preventive Medicine, The Fourth Military Medical University, Xi'an 710032, China.
Datong Center for Diseases Control and Prevention, Datong 037008, China.
Zhonghua Liu Xing Bing Xue Za Zhi. 2018 Sep 10;39(9):1165-1171. doi: 10.3760/cma.j.issn.0254-6450.2018.09.005.
To explore the spatio-temporal epidemic trends and related driving effects of meteorological factors on brucellosis in Datong city, Shanxi province, from 2005 to 2015. We collected the surveillance data on brucellosis and related meteorological data in Datong city from 2005 to 2015, to describe the epidemic characteristics of the disease. Quasi-Poisson distribution lag non-liner model (DLNM) was built to explore the driving effect of monthly meteorological data on the disease. From 2005 to 2015, Datong city reported a total of 17 311 cases of brucellosis including one death, with the annual average incidence as 47.43 per 100 000 persons. A rising trend was seen during the study period. The monthly incidence of Brucellosis presented an obvious curve with a major peak from March to June, accounted for 48.40 of the total cases. The high incidence areas in the city gradually expanded from the northeast and southeast to the western areas. Results from the DLNM studies suggested that seasonality of brucellosis in Datong was significantly affected by metrological factors such as evaporation, rainfall and temperature. The peak of delayed effect appeared the highest when the monthly cumulative evaporation capacity was 140-260 mm and the monthly cumulative rainfall was 20-60 mm with lag less than 1 month or the monthly temperature was -13 ℃ with lag of 4-5 months. The incidence of human brucellosis in Datong city increased significantly from 2005 to 2015. Meteorological factors such as evaporation, rainfall, temperature all showed significant driving effects on the disease.
为探究2005年至2015年山西省大同市布鲁氏菌病的时空流行趋势及气象因素对其的相关驱动效应。我们收集了大同市2005年至2015年布鲁氏菌病监测数据及相关气象数据,以描述该疾病的流行特征。构建了准泊松分布滞后非线性模型(DLNM)来探究月度气象数据对该疾病的驱动效应。2005年至2015年,大同市共报告布鲁氏菌病病例17311例,其中1例死亡,年平均发病率为十万分之47.43。研究期间呈上升趋势。布鲁氏菌病的月发病率呈现明显曲线,3月至6月出现一个主要高峰,占总病例数的48.40%。该市的高发病区逐渐从东北和东南部向西部地区扩展。DLNM研究结果表明,大同市布鲁氏菌病的季节性受蒸发、降雨和温度等气象因素的显著影响。当月累计蒸发量为140 - 260毫米且月累计降雨量为20 - 60毫米且滞后小于1个月或月温度为 - 13℃且滞后4 - 5个月时,延迟效应的峰值出现最高。2005年至2015年大同市人间布鲁氏菌病发病率显著上升。蒸发、降雨、温度等气象因素均对该疾病表现出显著的驱动效应。