Technology and Method

Seasonal characteristics of severe fever with thrombocytopenia syndrome analyzed with concentration ratio and circular distribution method in Weihai, Shandong Province, China

Expand
  • 1. Department of Microbial Detection/Department of Infectious Disease Control, Weihai Center for Disease Control and Prevention, Weihai, Shandong 264200, China;
    2. Huancui District Center for Animal Disease Prevention and Control of Weihai, Weihai, Shandong 264200, China

Received date: 2023-04-25

  Online published: 2023-12-26

Abstract

Objective To analyze the seasonal distribution of severe fever with thrombocytopenia syndrome (SFTS) in Weihai, Shandong Province, China, so as to provide scientific evidence for formulating prevention and control strategies for SFTS.Methods The monthly data on SFTS cases with registered addresses in Weihai during 2011 to 2022 were collected from the China Information System for Disease Control and Prevention. The seasonal characteristics of SFTS in Weihai were analyzed by using the concentration ratio and circular distribution method through creating formulas in Excel 2007.Results From 2011-2022, the total number of cases of SFTS in Weihai was 1 231. The mean annual incidence was 4.01/100 000, and the mortality rate was 0.37/100 000. The incidence of SFTS showed a generally ascending trend during the 12 years (linear χ2=36.501, P<0.001). The concentration ratio (M) of monthly numbers of SFTS cases in Weihai was 0.66, indicating strong seasonality. The circular distribution concentration trend (r) was 0.654, the angular mean (αˉ) was 195.15°, the angular deviation (S) was 52.76°, and the Z value for the Rayleigh test was 527.144 (P<0.001). The predicted peak date was July 17, and the peak period was between May 25 and September 9.Conclusions The overall increasing incidence of SFTS in Weihai of Shandong Province deserves adequate attention to prevention and control. The strong seasonality of SFTS indicates that prevention and control strategies should be carried out prior to the peak period, so as to reduce severe cases and cluster outbreaks. The results provide a basis for scientific prevention and control of SFTS.

Cite this article

SUN Qi, ZHANG Guo-ying, GAO Yong-wei . Seasonal characteristics of severe fever with thrombocytopenia syndrome analyzed with concentration ratio and circular distribution method in Weihai, Shandong Province, China[J]. Chinese Journal of Vector Biology and Control, 2023 , 34(6) : 794 -798 . DOI: 10.11853/j.issn.1003.8280.2023.06.016

References

[1] Duan Q,Pang B,Zhang XM,et al. Epidemiological characteristics and spatial aggregation of severe fever with thrombocytopenia syndrome in Shandong province from 2011 to 2020[J]. Chin J Dis Control Prev,2022,26(7) 790-797. DOI:10.16462/j.cnki.zhjbkz.2022.07.008.(in Chinese) 段青,逄博,张晓梅,等. 2011-2020年山东省发热伴血小板减少综合征流行特征及空间聚集性[J]. 中华疾病控制杂志,2022,26(7):790-797. DOI:10.16462/j.cnki.zhjbkz.2022. 07.008.
[2] McMullan LK,Folk SM,Kelly AJ,et al. A new Phlebovirus associated with severe febrile illness in Missouri[J]. N Engl J Med,2012,367(9):834-841. DOI:10.1056/NEJMoa1203378.
[3] Yokomizo K,Tomozane M,Sano C,et al. Clinical presentation and mortality of severe fever with thrombocytopenia syndrome in Japan:A systematic review of case reports[J]. Int J Environ Res Public Health,2022,19(4):2271. DOI:10.3390/ijerph 19042271.
[4] Kim MC,Chong YP,Lee SO,et al. Differentiation of severe fever with thrombocytopenia syndrome from scrub typhus[J]. Clin Infect Dis,2018,66(10):1621-1624. DOI:10.1093/cid/cix1119.
[5] Hu G, Jiang FC, Dong LY, et al. Identification of predominant microbial populations carried by five species of ticks in Qingdao, Shandong[J]. Dis Surveill, 2023, 38(3):264-269. DOI:10. 3784/jbjc.202301310014. (in Chinese) 胡耕,姜法春,董礼艳,等.山东省青岛市5种蜱携带的优势微生物种群鉴定分析[J].疾病监测,2023,38(3):264-269. DOI:10.3784/jbjc.202301310014.
[6] Cao C,Wu JB,Cao MH,et al. Epidemiological analysis on severe fever with thrombocytopenia syndrome in Anhui province,2011-2015[J]. Chin J Dis Control Prev,2016,20(8):792-795. DOI:10.16462/j.cnki.zhjbkz.2016.08.010.(in Chinese) 曹琛,吴家兵,曹明华,等. 安徽省2011-2015年发热伴血小板减少综合征流行特征分析[J]. 中华疾病控制杂志,2016,20(8):792-795. DOI:10.16462/j.cnki.zhjbkz.2016.08.010.
[7] Jiang XL,Chen DY,Lyu T,et al. An investigation of risk factors for death in three patients with severe fever with thrombocytopenia syndrome in Wendeng district,Weihai,Shandong province,China[J]. Chin J Vector Biol Control,2019,30(6):603-606. DOI:10.11853/j.issn.1003.8280.2019.06.002.(in Chinese) 姜晓林,陈德颖,吕涛,等. 山东省威海市文登区3例发热伴血小板减少综合征死亡病例危险因素调查[J]. 中国媒介生物学及控制杂志,2019,30(6):603-606. DOI:10.11853/j.issn. 1003.8280.2019.06.002.
[8] Jin PH,Chen F. Public health preventive medicine[M]. 3rd ed. Shanghai:Fudan University Press,2009:327-333. (in Chinese) 金丕焕,陈峰. 医用统计方法[M]. 3版. 上海:复旦大学出版社,2009:327-333.
[9] Chen YM,Kang DM,Yan P,et al. An analysis of surveillance results for small rodents in natural plague foci of Hebei province,China,1990-2020 [J]. Chin J Vector Biol Control,2022,33(1):89-93. DOI:10.11853/j.issn.1003.8280.2022.01.016.(in Chinese) 陈永明,康东梅,闫萍,等. 河北省鼠疫自然疫源地1990-2020年小型鼠监测结果分析[J]. 中国媒介生物学及控制杂志,2022,33(1):89-93. DOI:10.11853/j.issn.1003.8280. 2022.01.016.
[10] Li BH,Zhu HL,Ma XF,et al. Analysis of seasonal characteristics of mosquito vectors in Qingdao city of Shandong province during 2017 and 2020 by the concentration and circular distribution method[J]. Chin J Vector Biol Control,2022,33(2):230-233,238. DOI:10.11853/j.issn.1003.8280.2022.02.012.(in Chinese) 李炳辉,朱海龙,马小芳,等. 基于集中度和圆形分布法分析山东省青岛市2017-2020年媒介蚊虫季节性特征[J]. 中国媒介生物学及控制杂志,2022,33(2):230-233,238. DOI:10.11853/j.issn.1003.8280.2022.02.012.
[11] Wang QC,Li X. Excel implementation of circular distribution analysis[J]. Chin J Health Stat,2006,23(5):448-449. DOI:10.3969/j.issn.1002-3674.2006.05.022.(in Chinese) 王庆昌,李欣. 圆形分布分析的Excel实现[J]. 中国卫生统计,2006,23(5):448-449. DOI:10.3969/j.issn.1002-3674. 2006.05.022.
[12] Jia YL,Xu J,Xu HM,et al. Seasonal characteristics and etiologic features of the cluster of fever in Pudong New Area of Shanghai in 2013-2021[J]. J Public Health Prev Med,2023,34(2):56-59. DOI:10.3969/j.issn.1006-2483.2023.02.012.(in Chinese) 贾逸林,徐晶,徐红梅,等. 2013-2021年上海市浦东新区聚集性发热疫情季节性和病原学特征分析[J]. 公共卫生与预防医学,2023,34(2):56-59. DOI:10.3969/j.issn.1006-2483. 2023.02.012.
[13] Dong HH,Liu XR. Analysis of seasonal characteristics of human brucellosis in Gansu province based on the concentration and circular distribution method[J]. Chin J Dis Control Prev,2022,26(2):227-231. DOI:10.16462/j.cnki.zhjbkz.2022.02.018.(in Chinese) 董欢欢,刘兴荣. 基于集中度和圆形分布法分析甘肃省人间布氏菌病季节性特征[J]. 中华疾病控制杂志,2022,26(2):227-231. DOI:10.16462/j.cnki.zhjbkz.2022.02.018.
[14] You AG,Yang JH,Hu Y,et al. Seasonal characteristics of fever,thrombocytopenia and leukopenia syndrome,Xinyang city[J]. Mod Prev Med,2016,43(15):2689-2691,2699. (in Chinese) 尤爱国,杨建华,胡艳,等. 信阳市发热伴血小板减少综合征发病季节性特征研究[J]. 现代预防医学,2016,43(15):2689-2691,2699.
[15] Liu BX,Gong L,Song DD,et al. Using concentration ratio and circular distribution method to analyze seasonal characteristics of severe fever with thrombocytopenia syndrome in Anhui province,2011-2017[J]. Chin J Exp Clin Virol,2020,34(3):252-255. DOI:10.3760/cma.j.cn112866-20200322-00084.(in Chinese) 刘伯熙,龚磊,宋丹丹,等. 应用集中度和圆形分布法分析安徽省2011-2017年发热伴血小板减少综合征的季节分布[J]. 中华实验和临床病毒学杂志,2020,34(3):252-255. DOI:10.3760/cma.j.cn112866-20200322-00084.
[16] Song HL,Fang JH. An analysis on the variation characteristics of climate in Weihai during 1981-2015[J]. China Popul Resour Environ,2017,27 Suppl 2:S204-207. (in Chinese) 宋华丽,方娇慧. 1981-2015年威海市气候变化特征分析[J]. 中国人口·资源与环境,2017,27增刊2:204-207.
[17] Kaizer AM,Foré SA,Kim HJ,et al. Modeling the biotic and abiotic factors that describe the number of active off-host Amblyomma americanum larvae[J]. J Vector Ecol,2015,40(1):1-10. DOI:10.1111/jvec.12126.
[18] Li S,Heyman P,Cochez C,et al. A multi-level analysis of the relationship between environmental factors and questing Ixodes ricinus dynamics in Belgium[J]. Parasit Vectors,2012,5(1):149. DOI:10.1186/1756-3305-5-149.
[19] Zhan SY. Examples of epidemiological studies Volume 5[M]. Beijing:People’s Medical Press,2021:18-19. (in Chinese) 詹思延. 流行病学研究实例 第五卷[M]. 北京:人民卫生出版社,2021:18-19.
Outlines

/