Analysis of the impact of quarantine management measures for inbound passengers on dengue fever in Hangzhou， Zhejiang Province， China， from 2020 to 2022

WANG Zhe, HUANG Ren-jie, ZHU Lei, JIN Bin-bin, WEI Ling-ya, SUN Zhou, KONG Qing-xin

doi:10.11853/j.issn.1003.8280.2024.01.016

Chinese Journal of Vector Biology and Control >

2024 , Vol. 35 >Issue 1: 89 - 94

DOI: https://doi.org/10.11853/j.issn.1003.8280.2024.01.016

Investigation

Analysis of the impact of quarantine management measures for inbound passengers on dengue fever in Hangzhou， Zhejiang Province， China， from 2020 to 2022

Expand

Institute of Infectious Disease Control and Prevention, Hangzhou Center for Disease Control and Prevention, Hangzhou, Zhejiang 310021, China

Received date: 2023-08-11

Online published: 2024-03-05

Supported by

General Projects of Medical and Health Science and Technology Plan of Hangzhou (No. A20220843); Scientific Research Guidance Program for Agricultural and Social Development of Hangzhou (No. 20220919Y058); Hangzhou Medical Key Discipline Project

Fold

Abstract

Objective To investigate the impact of quarantine management measures for inbound passengers on dengue fever during the prevention and control of novel coronavirus infection in Hangzhou, China. Methods The information on dengue fever cases from January 1, 2017 to December 31, 2022 and the mosquito surveillance data and the number of inbound passengers from 2017 to 2022 in Hangzhou were collected. Excel 2019 software was used to aggregate the data, and R 4.2.0 software was used for statistical analysis. The epidemiological characteristics of dengue fever before and after the implementation of quarantine management measures were compared using the Chi-squared test. The mosquito density surveillance data were compared using repeated-measures analysis of variance. The correlation between the number of inbound passengers and dengue fever cases was investigated using Spearman rank correlation analysis. Results After the implementation of quarantine management measures for inbound passengers from March 26, 2020 to December 31, 2022, a total of 5 imported cases of dengue fever were reported in Hangzhou, and the intensity of the risk of imported transmission was 0, which were significantly lower than those (250 cases, with 4.82 of risk intensity) before the implementation. There were no significant differences in the population characteristics, the season of importation, and the distribution of the source areas of imported dengue fever cases before and after the implementation of quarantine management measures (all P>0.05). After the implementation of quarantine management measures, four imported cases were found at isolation sites and one at a port, while 98.40% (246/250) of cases were found in hospitals before the implementation of quarantine management measures. The time interval between disease onset and diagnosis was significantly shorter than before the implementation of quarantine management measures (t=2.053, P=0.041). The mean monthly Breteau index and mean monthly net trap index of Aedes mosquitoes during 2017 to 2019 were not significantly different from those during 2020 to 2022 (all P>0.05). The annual number of inbound passengers was positively correlated with the annual numbers of imported cases of dengue fever from 2017 to 2022 (r=1.000, P=0.003). Conclusions The number of imported cases of dengue fever has decreased significantly after the implementation of quarantine management measures for inbound passengers in Hangzhou. However, there is still a risk of outbreak after lifting the management of inbound passengers.

Key words： Dengue fever; Imported case; Quarantine management measure; Vector density; Risk of local transmission

Cite this article

WANG Zhe, HUANG Ren-jie, ZHU Lei, JIN Bin-bin, WEI Ling-ya, SUN Zhou, KONG Qing-xin . Analysis of the impact of quarantine management measures for inbound passengers on dengue fever in Hangzhou， Zhejiang Province， China， from 2020 to 2022[J]. Chinese Journal of Vector Biology and Control, 2024 , 35(1) : 89 -94 . DOI: 10.11853/j.issn.1003.8280.2024.01.016

References

[1] Wilder-Smith A,Schwartz E. Dengue in travelers[J]. N Engl J Med,2005,353(9):924-932. DOI:10.1056/NEJMra041927.
[2] World Health Organization. Dengue and severe dengue[EB/OL]. (2019-11-13)[2023-08-06]. https://www.who.int/multi-media/details/dengue-and-severe-dengue.
[3] Wu TT,Wu ZD,Li YP. Dengue fever and Dengue virus in the People's Republic of China[J]. Rev Med Virol,2022,32(1):e2245. DOI:10.1002/rmv.2245.
[4] Bhatt S,Gething PW,Brady OJ,et al. The global distribution and burden of dengue[J]. Nature,2013,496(7446):504-507. DOI:10.1038/nature12060.
[5] Shepard DS,Undurraga EA,Halasa YA,et al. The global economic burden of dengue:A systematic analysis[J]. Lancet Infect Dis,2016,16(8):935-941. DOI:10.1016/S1473-3099(16)00146-8.
[6] Junior JBS,Massad E,Lobao-Neto A,et al. Epidemiology and costs of dengue in Brazil:A systematic literature review[J]. Int J Infect Dis,2022,122:521-528. DOI:10.1016/j.ijid.2022.06.050.
[7] 杨栋,牟笛,陈秋兰,等. 采用德尔菲法构建东盟国家登革热输入我国和引发本地传播风险评估指标体系研究[J]. 疾病监测,2021,36(6):566-572. DOI:10.3784/jbjc.202106030318.Yang D,Mu D,Chen QL,et al. Research on establishing the risk assessment index system of imported and local transmission of dengue fever into China from Association of Southeast Asian Nations countries,based on the Delphi method[J]. Dis Surveill,2021,36(6):566-572. DOI:10.3784/jbjc.202106030318.(in Chinese)
[8] 艾丽云,陈恩富,孙继民,等. 2004-2016年浙江省登革热疫情时空聚集性分析[J]. 疾病监测,2019,34(1):27-31. DOI:10.3784/j.issn.1003-9961.2019.01.008.Ai LY,Chen EF,Sun JM,et al. Analysis on spatial and temporal clustering of dengue fever epidemic in Zhejiang,2004-2016[J]. Dis Surveill,2019,34(1):27-31. DOI:10.3784/j.issn.1003-9961.2019.01.008.(in Chinese)
[9] 王桢,凌锋,刘营,等. 浙江省2015-2019年登革热流行特征分析[J]. 中国媒介生物学及控制杂志,2020,31(6):643-647. DOI:10.11853/j.issn.1003.8280.2020.06.003.Wang Z,Ling F,Liu Y,et al. Epidemiological characteristics of dengue fever in Zhejiang province,China,2015-2019[J]. Chin J Vector Biol Control,2020,31(6):643-647. DOI:10.11853/j.issn.1003.8280.2020.06.003.(in Chinese)
[10] 刘牧文,孙昼,考庆君,等. 2017-2019年浙江省杭州市登革热流行特征和时空聚集性分析[J]. 疾病监测,2022,37(4):481-486. DOI:10.3784/jbjc.202106300379.Liu MW,Sun Z,Kao QJ,et al. Spatiotemporal distribution of dengue fever in Hangzhou,Zhejiang,2017-2019[J]. Dis Surveill,2022,37(4):481-486. DOI:10.3784/jbjc.202106300379. (in Chinese)
[11] 孙昼,陈珺芳,考庆君,等. 杭州市2017-2019年登革热疫情流行特征及处置效果分析[J]. 国际流行病学传染病学杂志,2021,48(5):384-388. DOI:10.3760/cma.j.cn331340-20210301-00038.Sun Z,Chen JF,Kao QJ,et al. Epidemiological characteristics and control effect of dengue fever in Hangzhou from 2017 to 2019[J]. Inter J Epidemiol Infect Dis,2021,48(5):384-388. DOI:10.3760/cma.j.cn331340-20210301-00038.(in Chinese)
[12] 陈珺芳,王哲,孙昼,等. 杭州市登革热核心区蚊媒应急处置效果分析[J]. 预防医学,2019,31(10):1078-1080. DOI:10.19485/j.cnki.issn2096-5087.2019.10.028.Chen JF,Wang Z,Sun Z,et al. Analysis on the emergency response effect of mosquito vectors in the core area of dengue fever in Hangzhou[J]. Prev Med,2019,31(10):1078-1080. DOI:10.19485/j.cnki.issn2096-5087.2019.10.028.(in Chinese)
[13] Li Q,Guan XH,Wu P,et al. Early transmission dynamics in Wuhan,China,of novel coronavirus-infected pneumonia[J]. N Engl J Med,2020,382(13):1199-1207. DOI:10.1056/NEJMoa2001316.
[14] 谭小华,邓爱萍,张应涛,等. 广东省2020-2022年入境人员健康管理措施对境外输入性登革热疫情的影响分析[J]. 中华流行病学杂志,2023,44(6):954-959. DOI:10.3760/cma.j.cn112338-20221021-00899.Tan XH,Deng AP,Zhang YT,et al. Analysis of the impact of health management measures for entry personnel on imported dengue fever in Guangdong province,2020-2022[J]. Chin J Epidemiol,2023,44(6):954-959. DOI:10.3760/cma.j.cn112338-20221021-00899.(in Chinese)
[15] 赵峥,李昱,牟笛,等. 2016-2018年中国重点省份境外输入性登革热病例的时空分析[J]. 中华流行病学杂志,2020,41(11):1808-1812. DOI:10.3760/cma.j.cn112338-20191231-00923.Zhao Z,Li Y,Mou D,et al. Spatial-temporal analysis on imported dengue fever in six provinces of China,2016-2018[J]. Chin J Epidemiol,2020,41(11):1808-1812. DOI:10.3760/cma.j.cn112338-20191231-00923.(in Chinese)
[16] Lai SJ,Huang ZJ,Zhou H,et al. The changing epidemiology of dengue in China,1990-2014:A descriptive analysis of 25 years of nationwide surveillance data[J]. BMC Med,2015,13:100. DOI:10.1186/s12916-015-0336-1.
[17] 孙昼,黄仁杰,任晓宾,等. 杭州市2004-2017年登革热输入病例的流行特征[J]. 国际流行病学传染病学杂志,2019,46(1):74-77. DOI:10.3760/cma.j.issn.1673-4149.2019.01.017.Sun Z,Huang RJ,Ren XB,et a1. Epidemiological analysis on dengue fever imported cases in Hangzhou,2004-2017[J]. Inter J Epidemiol Infect Dis,2019,46(1):74-77. DOI:10.3760/cma.j.issn.1673-4149.2019.01.017.(in Chinese)
[18] 黄春萍,丁华,温圆圆,等. 2017年杭州市登革热暴发疫情防控效果评价[J]. 国际流行病学传染病学杂志,2019,46(6):513-517. DOI:10.3760/cma.j.issn.1673-4149.2019.06.013.Huang CP,Ding H,Wen YY,et a1. Assessment on the control effect of dengue fever outbreak in Hangzhou in 2017[J]. Inter J Epidemiol Infect Dis,2019,46(6):513-517. DOI:10.3760/cma.j.issn.1673-4149.2019.06.013.(in Chinese)
[19] Wu Q,Dong SW,Li XK,et al. Effects of COVID-19 non-pharmacological interventions on dengue infection:A systematic review and meta-analysis[J]. Front Cell Infect Microbiol,2022,12:892508. DOI:10.3389/fcimb.2022.892508.
[20] Guo XY,Ma CJ,Wang L,et al. The impact of COVID-19 continuous containment and mitigation strategy on the epidemic of vector-borne diseases in China[J]. Parasit Vectors,2022,15(1):78. DOI:10.1186/s13071-022-05187-w.
[21] 祝绯飞,袁寒艳,王芝敏,等. 2017年浙江省杭州市拱墅区登革热暴发疫情调查分析[J]. 疾病监测,2019,34(5):422-426. DOI:10.3784/j.issn.1003-9961.2019.05.012.Zhu FF,Yuan HY,Wang ZM,et al. An outbreak of dengue fever in Gongshu district of Hangzhou,Zhejiang,2017[J]. Dis Surveill,2019,34(5):422-426. DOI:10.3784/j.issn.1003-9961.2019.05.012.(in Chinese)
[22] 国务院应对新型冠状病毒感染疫情联防联控机制综合组. 关于印发对新型冠状病毒感染实施"乙类乙管"总体方案的通知[EB/OL]. (2022-12-26)[2023-08-09]. http://www.nhc.gov.cn/xcs/zhengcwj/202212/e97e4c449d7a475794624b8ea12123c6.shtml.State Council Comprehensive Group of Joint Prevention and Control Mechanisms for Responding to Epidemics of Novel Coronavirus Infections. Circular on the issuance of a general plan for the implementation of "Class B and Class B control" for novel coronavirus infections[EB/OL]. (2022-12-26)[2023-08-09]. http://www.nhc.gov.cn/xcs/zhengcwj/202212/e97e4c449d7a475794624b8ea12123c6.shtml.(in Chinese)
[23] 金彬彬,韦凌娅,金慧,等. 杭州市2017-2021年登革热媒介白纹伊蚊生态学监测结果分析[J]. 中国媒介生物学及控制杂志,2023,34(4):491-496. DOI:10.11853/j.issn.1003.8280. 2023.04.009.Jin BB,Wei LY,Jin H,et al. An analysis of ecological surveillance results of dengue vector Aedes albopictus in Hangzhou,Zhejiang province,China,2017-2021[J]. Chin J Vector Biol Control,2023,34(4):491-496. DOI:10.11853/j.issn.1003.8280.2023.04.009.(in Chinese)

Options

Outlines

模态框（Modal）标题

Abstract

Cite this article

References