Cargando…
Prediction of Oncomelania hupensis distribution in association with climate change using machine learning models
BACKGROUND: Oncomelania hupensis is the sole intermediate host of Schistosoma japonicum. Its emergence and recurrence pose a constant challenge to the elimination of schistosomiasis in China. It is important to accurately predict the snail distribution for schistosomiasis prevention and control. MET...
Autores principales: | Xu, Ning, Zhang, Yun, Du, Chunhong, Song, Jing, Huang, Junhui, Gong, Yanfeng, Jiang, Honglin, Tong, Yixin, Yin, Jiangfan, Wang, Jiamin, Jiang, Feng, Chen, Yue, Jiang, Qingwu, Dong, Yi, Zhou, Yibiao |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10591370/ https://www.ncbi.nlm.nih.gov/pubmed/37872579 http://dx.doi.org/10.1186/s13071-023-05952-5 |
Ejemplares similares
-
Three Gorges Dam: polynomial regression modeling of water level and the density of schistosome-transmitting snails Oncomelania hupensis
por: Yang, Ya, et al.
Publicado: (2018) -
Identifying and Predicting the Geographical Distribution Patterns of Oncomelania hupensis
por: Niu, Yingnan, et al.
Publicado: (2019) -
Three Gorges Dam: the changing trend of snail density in the Yangtze River basin between 1990 and 2019
por: Gong, Yanfeng, et al.
Publicado: (2023) -
Three Gorges Dam: Potential differential drivers and trend in the spatio-temporal evolution of the change in snail density based on a Bayesian spatial–temporal model and 5-year longitudinal study
por: Gong, Yanfeng, et al.
Publicado: (2023) -
Spatio-temporal variations of emerging sites infested with schistosome-transmitting Oncomelania hupensis in Hunan Province, China, 1949–2016
por: Li, Shengming, et al.
Publicado: (2021)