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2023年中国大陆登革热疫情情况

Dengue situation in Chinese mainland, 2023.

作者信息

Yue Yujuan, Lun Xinchang, Zhao Chunchun, Liu Xiaobo, Zhao Ning, Guo Yuhong, Song Xiuping, Lu Liang, Ren Dongsheng

机构信息

National Key Laboratory of Intelligent Tracking and Forecasting for Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, 102206, People's Republic of China.

出版信息

BMC Public Health. 2025 Aug 14;25(1):2773. doi: 10.1186/s12889-025-24151-8.

DOI:10.1186/s12889-025-24151-8
PMID:40813650
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12351840/
Abstract

BACKGROUND

Dengue fever outbreaks have occurred in Chinese mainland in recent years, especially in 2014 and 2019. In 2023, following the Corona Virus Disease 2019 pandemic, dengue fever has exhibited some new trends and characteristics.

METHODS

Descriptive epidemiological methods were used to analyse temporal, spatial and demographic distribution. Flow map and Sankey diagram were used to explore the flow of domestic and overseas dengue cases.

RESULTS

In 2023, a total of 14,585 indigenous cases, 3,632 domestic imported cases, and 1,579 overseas imported cases were identified in 10, 28, and 22 provinces, respectively among 31 provinces in Chinese mainland. Dengue fever exhibited seasonal characteristics, with peak periods occurring in late summer and early autumn. Most dengue cases were reported in Yunnan Province (70.4% of indigenous cases and 74.4% of overseas imported cases) and Guangdong Province (25.8% and 7.9%, respectively). Of the domestic imported cases, 91.5% were from the Yunnan Province. Additionally, only 30.6% of domestic imported cases were transmitted between provinces. Overseas imported cases were mainly from Myanmar (68.9%), Laos (8.4%), and Thailand (7.2%). Indigenous cases emerged from low to high latitudes during the months of the year, with further spatial growth in the western (Sichuan Province and Chongqing Municipality) and central (Hunan and Hubei provinces) regions. There was a significant increase in the number of domestic imported cases, and the proportion of farmer for dengue cases was substantially higher in 2013 than before.

CONCLUSIONS

The findings from the dengue fever analysis in 2023 can help in formulating targeted and strategic plans and implementing effective public health prevention and control measures.

摘要

背景

近年来中国大陆发生了登革热疫情,特别是在2014年和2019年。2023年,在新型冠状病毒肺炎大流行之后,登革热呈现出一些新的趋势和特点。

方法

采用描述性流行病学方法分析时间、空间和人口分布。使用流程图和桑基图探索国内外登革热病例的流动情况。

结果

2023年,中国大陆31个省份中,分别在10个、28个和22个省份发现了14585例本土病例、3632例国内输入病例和1579例境外输入病例。登革热呈现季节性特征,高峰期出现在夏末和初秋。大多数登革热病例报告在云南省(本土病例的70.4%和境外输入病例的74.4%)和广东省(分别为25.8%和7.9%)。在国内输入病例中,91.5%来自云南省。此外,只有30.6%的国内输入病例是在省份之间传播的。境外输入病例主要来自缅甸(68.9%)、老挝(8.4%)和泰国(7.2%)。本土病例在一年中的几个月里从低纬度向高纬度出现,在西部(四川省和重庆市)和中部(湖南省和湖北省)地区有进一步的空间增长。国内输入病例数量显著增加,2023年登革热病例中农民的比例大幅高于以前。

结论

2023年登革热分析的结果有助于制定有针对性的战略计划并实施有效的公共卫生预防和控制措施。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49d7/12351840/86ef81a5af18/12889_2025_24151_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49d7/12351840/a10321f1b545/12889_2025_24151_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49d7/12351840/81b86456ef55/12889_2025_24151_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49d7/12351840/a1e564cf63a6/12889_2025_24151_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49d7/12351840/dbd0c3ea05b1/12889_2025_24151_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49d7/12351840/4e33807eab24/12889_2025_24151_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49d7/12351840/86ef81a5af18/12889_2025_24151_Fig6_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49d7/12351840/a10321f1b545/12889_2025_24151_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49d7/12351840/81b86456ef55/12889_2025_24151_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49d7/12351840/a1e564cf63a6/12889_2025_24151_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49d7/12351840/dbd0c3ea05b1/12889_2025_24151_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49d7/12351840/4e33807eab24/12889_2025_24151_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/49d7/12351840/86ef81a5af18/12889_2025_24151_Fig6_HTML.jpg

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本文引用的文献

1
Dengue Fever in Mainland China, 2005-2020: A Descriptive Analysis of Dengue Cases and Data.中国大陆 2005-2020 年登革热流行情况描述分析:登革热病例与数据
Int J Environ Res Public Health. 2022 Mar 25;19(7):3910. doi: 10.3390/ijerph19073910.
2
Comparative analyses on epidemiological characteristics of dengue fever in Guangdong and Yunnan, China, 2004-2018.比较分析 2004-2018 年中国广东和云南登革热的流行病学特征。
BMC Public Health. 2021 Jul 13;21(1):1389. doi: 10.1186/s12889-021-11323-5.
3
Spatial Dynamics of Dengue Fever in Mainland China, 2019.
中国大陆地区 2019 年登革热的空间动态
Int J Environ Res Public Health. 2021 Mar 11;18(6):2855. doi: 10.3390/ijerph18062855.
4
Spatial analysis of dengue fever and exploration of its environmental and socio-economic risk factors using ordinary least squares: A case study in five districts of Guangzhou City, China, 2014.基于普通最小二乘法的登革热时空分析及其环境和社会经济风险因素的探索:以 2014 年中国广州市五个区为例。
Int J Infect Dis. 2018 Oct;75:39-48. doi: 10.1016/j.ijid.2018.07.023. Epub 2018 Aug 16.
5
The Social and Spatial Ecology of Dengue Presence and Burden during an Outbreak in Guayaquil, Ecuador, 2012.《2012 年厄瓜多尔瓜亚基尔登革热疫情期间的存在和负担的社会和空间生态学》
Int J Environ Res Public Health. 2018 Apr 23;15(4):827. doi: 10.3390/ijerph15040827.
6
Dengue epidemic typology and risk factors for extensive epidemic in Amazonas state, Brazil, 2010-2011.2010-2011 年巴西亚马逊州登革热流行类型学和广泛流行的危险因素
BMC Public Health. 2018 Mar 15;18(1):356. doi: 10.1186/s12889-018-5251-x.
7
Modelling dengue fever risk in the State of Yucatan, Mexico using regional-scale satellite-derived sea surface temperature.利用区域尺度卫星反演海表温度对墨西哥尤卡坦州登革热风险进行建模。
Acta Trop. 2017 Aug;172:50-57. doi: 10.1016/j.actatropica.2017.04.017. Epub 2017 Apr 24.
8
Climate variation drives dengue dynamics.气候变化驱动登革热动态。
Proc Natl Acad Sci U S A. 2017 Jan 3;114(1):113-118. doi: 10.1073/pnas.1618558114. Epub 2016 Dec 9.
9
Spatiotemporal Dynamics of Scrub Typhus Transmission in Mainland China, 2006-2014.2006 - 2014年中国大陆恙虫病传播的时空动态
PLoS Negl Trop Dis. 2016 Aug 1;10(8):e0004875. doi: 10.1371/journal.pntd.0004875. eCollection 2016 Aug.
10
Surface water areas significantly impacted 2014 dengue outbreaks in Guangzhou, China.地表水域对2014年中国广州的登革热疫情爆发产生了重大影响。
Environ Res. 2016 Oct;150:299-305. doi: 10.1016/j.envres.2016.05.039. Epub 2016 Jun 21.