Epidemiology and Ecology of Usutu Virus Infection and Its Global Risk Distribution

被引:0
|
作者
Chen, Jiahao [1 ]
Zhang, Yuanyuan [2 ]
Zhang, Xiaoai [1 ]
Zhang, Meiqi [1 ]
Yin, Xiaohong [1 ]
Zhang, Lei [1 ]
Peng, Cong [1 ]
Fu, Bokang [3 ]
Fang, Liqun [1 ]
Liu, Wei [1 ]
机构
[1] Acad Mil Med Sci, State Key Lab Pathogen & Biosecur, 20 Dong Da St, Beijing 100071, Peoples R China
[2] 926 Hosp Joint Logist Support Force, Dept Dis Control & Prevent, Kaiyuan 661600, Peoples R China
[3] Anhui Med Univ, Sch Publ Hlth, Hefei 230022, Peoples R China
来源
VIRUSES-BASEL | 2024年 / 16卷 / 10期
关键词
Usutu virus; distribution; machine learning; ensemble learning; WEST NILE VIRUS; EMERGENCE; SEROPREVALENCE; URBANIZATION; PREDICTION; DYNAMICS; DISEASE; CROATIA; HUMANS; CHINA;
D O I
10.3390/v16101606
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Usutu virus (USUV) is an emerging mosquito-transmitted flavivirus with increasing incidence of human infection and geographic expansion, thus posing a potential threat to public health. In this study, we established a comprehensive spatiotemporal database encompassing USUV infections in vectors, animals, and humans worldwide by an extensive literature search. Based on this database, we characterized the geographic distribution and epidemiological features of USUV infections. By employing boosted regression tree (BRT) models, we projected the distributions of three main vectors (Culex pipiens, Aedes albopictus, and Culiseta longiareolata) and three main hosts (Turdus merula, Passer domesticus, and Ardea cinerea) to obtain the mosquito index and bird index. These indices were further incorporated as predictors into the USUV infection models. Through an ensemble learning model, we achieved a decent model performance, with an area under the curve (AUC) of 0.992. The mosquito index contributed significantly, with relative contributions estimated at 25.51%. Our estimations revealed a potential exposure area for USUV spanning 1.80 million km2 globally with approximately 1.04 billion people at risk. This can guide future surveillance efforts for USUV infections, especially for countries located within high-risk areas and those that have not yet conducted surveillance activities.
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页数:16
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