Bayesian maximum entropy-based prediction of the spatiotemporal risk of schistosomiasis in Anhui Province, China
Abstract Background “Schistosomiasis” is a highly recurrent parasitic disease that affects a wide range of areas and a large number of people worldwide. In China, schistosomiasis has seriously affected the life and safety of the people and restricted the economic development. Schistosomiasis is main...
Guardado en:
Autores principales: | Fuju Wang, Xin Liu, Robert Bergquist, Xiao Lv, Yang Liu, Fenghua Gao, Chengming Li, Zhijie Zhang |
---|---|
Formato: | article |
Lenguaje: | EN |
Publicado: |
BMC
2021
|
Materias: | |
Acceso en línea: | https://doaj.org/article/67fccb1dd083469c8dcefe403922caa9 |
Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
-
When a Generalized Linear Model Meets Bayesian Maximum Entropy: A Novel Spatiotemporal Ground-Level Ozone Concentration Retrieval Method
por: Yingying Mei, et al.
Publicado: (2021) -
Spatiotemporal Pattern and Driving Factors of Urban Sprawl in China
por: Xin Zhang, et al.
Publicado: (2021) -
Two-Stage Spatiotemporal Context Refinement Network for Precipitation Nowcasting
por: Dan Niu, et al.
Publicado: (2021) -
Determination of spatiotemporal stability of corn head smut(Sporisorium reilianum) by SADIE
por: Ramírez-Dávila,José F, et al.
Publicado: (2012) -
Interpolation of monthly precipitation amounts in mountainous catchments with sparse precipitation networks
por: Jacquin,Alexandra P, et al.
Publicado: (2013)