Objective To investigate the hysteresis effect of temperature on the risk of hemorrhagic fever with renal syndrome (HFRS) in Dandong and Huludao, Liaoning province, China. Methods The incidence data of HFRS reported in Dandong and Huludao from January 1, 2005 to December 31, 2017 and the meteorological data of the same period were collected. The distributed lag non-linear model was used to analyze the hysteresis effect of ambient temperature on the incidence of HFRS after controling the influence of long-term trend and. Results The high temperature effect on the incidence of HFRS in Huludao was present from the time of exposure to week 12 after exposure. However, it was present in Dandong from about week 8 to week 12 after exposure with a lag time of 8 weeks. The effect of low temperature on the incidence of HFRS in Huludao appeared immediately after exposure and disappeared at about week 10 after exposure. However, it also appeared appeared immediately in Dandong and lasted to week 12 after exposure. The high and low ambient temperatures both showed positive effect on the incidence of HFRS in the two cities. Conclusion Both high temperature and low temperature can increase the risk of HFRS in the two cities. The hysteresis effect of temperature on HFRS is different between the two cities.
SUN Wan-wan, LIU Xiao-bo, WU Hai-xia, WANG Jun, LIU Qi-yong, LU Liang
. Hysteresis effect of temperature on hemorrhagic fever with renal syndrome in Huludao and Dandong, China: A study based on distributed lag non-linear model[J]. Chinese Journal of Vector Biology and Control, 2019
, 30(3)
: 272
-277
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DOI: 10.11853/j.issn.1003.8280.2019.03.010
[1] 耿亚辉,王超,胥芹,等. 我国大陆地区肾综合征出血热时空分布及空间聚集性规律[J]. 首都医科大学学报,2016,37(5):641-645. DOI:10.3969/j.issn.1006-7795.2016.05.017.
[2] Lin HL,Zhang ZT,Lu L,et al. Meteorological factors are associated with hemorrhagic fever with renal syndrome in Jiaonan county,China,2006-2011[J]. Int J Biometeorol,2014,58(6):1031-1037. DOI:10.1007/s00484-013-0688-1.
[3] 孙英伟,韩仰欢,李鑫,等. 辽宁省2007-2011年肾综合征出血热疫情监测分析[J]. 中国公共卫生,2012,28(6):838-840. DOI:10.11847/zgggws-2012-28-06-46.
[4] Jiang FC,Wang L,Wang S,et al. Meteorological factors affect the epidemiology of hemorrhagic fever with renal syndrome via altering the breeding and hantavirus-carrying states of rodents and mites:a 9 years' longitudinal study[J]. Emerg Microbes Infect,2017,6(11):e104. DOI:10.1038/emi.2017.92.
[5] Xiao H,Gao LD,Li XJ,et al. Environmental variability and the transmission of haemorrhagic fever with renal syndrome in Changsha,People's Republic of China[J]. Epidemiol Infect,2013,141(9):1867-1875. DOI:10.1017/S0950268812002555.
[6] 张清敏,禹长兰,于世成,等. 气象因素对山东省安丘市肾综合征出血热发病的影响[J]. 中国媒介生物学及控制杂志,2017,28(1):85-86. DOI:10.11853/j.issn.1003.8280.2017.01. 025.
[7] Liu XD,Jiang BF,Gu WD,et al. Temporal trend and climate factors of hemorrhagic fever with renal syndrome epidemic in Shenyang city,China[J]. BMC Infect Dis,2011,11:331. DOI:10.1186/1471-2334-11-331.
[8] 李静,罗书全,丁贤彬,等. 重庆市逐日温度对人群死亡及寿命损失年影响的研究[J]. 中华流行病学杂志,2016,37(3):375-380. DOI:10.3760/cma.j.issn.0254-6450.2016.03.017.
[9] 王金玉,李盛,董继元,等. 气温对兰州市手足口病发病的滞后效应研究[J]. 中国卫生统计,2018,35(1):38-42.
[10] 张美霞,王楠,杜春霖,等. 贵州省乙脑和气象因素的滞后关系[J]. 现代预防医学,2017,44(10):1745-1749,1769.
[11] 吴伟,郭军巧,关鹏,等. 辽宁省2005-2007年肾综合征出血热流行特征及环境危险因素分析[J]. 中国媒介生物学及控制杂志,2014,25(1):39-42. DOI:10.11853/j.issn.1003.4692. 2014.01.011.
[12] 许勤勤,李润滋,罗成,等. 潍坊市气象因素对肾综合征出血热发病影响研究[J]. 环境与健康杂志,2018,35(2):149-153,189. DOI:10.16241/j.cnki.1001-5914.2018.02.013.
[13] 王智宇,刘如春,陈田木. 气候因素对长沙市肾综合征出血热发病影响研究[J]. 中国热带医学,2015,15(8):955-957,965. DOI:10.13604/j.cnki.46-1064/r.2015.08.13.
[14] 许勤勤,李润滋,刘娅飞,等. 基于分布滞后非线性模型的青岛市温度与肾综合征出血热的剂量反应关系[J]. 山东大学学报:医学版,2018,56(1):90-96. DOI:10.6040/j.issn.1671-7554.0.2017.597.
[15] 李月,孟郁洁,陈倩倩,等. 亳州市疟疾发病与气象因素关系的研究[J]. 环境与健康杂志,2014,31(11):988-992. DOI:10.16241/j.cnki.1001-5914.2014.11.026.
