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Compound extreme inundation risk of coastal wetlands caused by climate change and anthropogenic activities in the Yellow River Delta, China
Wang XL(王晓利)1,2; Xiu, LS1,2; Hu, QQ1,2; Lee, TC3,4; Liu, J3,4; Shi, LL5; Zhou, XN1,2; Guo, XK1,2; Hou, LY6,7; Yin, K 1,2
Source PublicationAdvances in Climate Change Research
ISSN1674-9278
2024-02-01
Volume15Issue:1Pages:134-147
KeywordZoonoses Surveillance system Early warning Climate change Interdisciplinary
MOST Discipline CatalogueEnvironmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
DOI10.1016/j.accre.2023.11.014
AbstractZoonoses account for the majority of emerging infectious diseases and pose a serious threat to human and animal health. Under global warming and climate change, zoonoses are significantly affected by influencing hosts, vectors, and pathogen dynamics as well as their interactions. Traditional zoonoses surveillance relies on molecular or serological diagnostic methods to monitor pathogens from animal or patient samples, which may miss the early warning signs of pathogens spillover from the environment. Nowadays, new technologies such as remote sensing, environment-based screening, multi-omics, and big data science facilitate comprehensive active surveillance, offering great potential for early warning and prediction. Despite the recent technological advances, there is few reviews that explores the integration of cutting-edge technologies aimed at constructing a robust early warning system. Therefore, we discussed the opportunities, barriers, and limitations of interdisciplinary emerging technologies for exploring early warning and surveillance of zoonoses. This systematic review summarized a practical framework for early surveillance integrated with a modified SEIR model for zoonoses in the context of climate change. It also outlined challenges and future prospects in terms of data sharing, early detection of unknown zoonoses and the move towards global surveillance.
SubtypeReview
Indexed BySCI
WOS KeywordRIFT-VALLEY FEVER ; HEALTH ; STAPHYLOCOCCUS ; POPULATION ; EMERGENCY ; IMPACTS ; MALARIA
WOS Research AreaEnvironmental Sciences ; Meteorology & Atmospheric Sciences
WOS IDWOS:001172812200001
Citation statistics
Cited Times:2[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.yic.ac.cn/handle/133337/34396
Collection个人在本单位外知识产出
Corresponding AuthorHou, LY; Yin, K 
Affiliation1.Shanghai Jiao Tong Univ, Sch Med, Chinese Ctr Trop Dis Res, Sch Global Hlth
2.Shanghai Jiao Tong Univ Univ Edinburgh, Hlth Ctr 1
3.Univ Coll London UCL, Inst Mat Discovery
4.Univ Coll London UCL, Dept Chem
5.Carolina Univ, Sch Arts & Sci
6.Utah State Univ, Civil & Environm Engn Dept
7.Utah Water Res Lab
Recommended Citation
GB/T 7714
Wang XL,Xiu, LS,Hu, QQ,et al. Compound extreme inundation risk of coastal wetlands caused by climate change and anthropogenic activities in the Yellow River Delta, China[J]. Advances in Climate Change Research,2024,15(1):134-147.
APA Wang XL.,Xiu, LS.,Hu, QQ.,Lee, TC.,Liu, J.,...&Yin, K .(2024).Compound extreme inundation risk of coastal wetlands caused by climate change and anthropogenic activities in the Yellow River Delta, China.Advances in Climate Change Research,15(1),134-147.
MLA Wang XL,et al."Compound extreme inundation risk of coastal wetlands caused by climate change and anthropogenic activities in the Yellow River Delta, China".Advances in Climate Change Research 15.1(2024):134-147.
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