Title :
Study on spread of vibrio cholera in rivers based on Cellular Automata Model
Author :
Sun, Jun ; Ibrahim, Abdoul Nasser ; Gong, Jianhua ; Yang, Liyang ; Li, Yi ; Zhou, Jieping
Author_Institution :
State Key Lab. of Remote Sensing Sci., Inst. of Remote Sensing Applic., Beijing, China
Abstract :
Cholera is an infectious disease, which begins abruptly, spreads fast, influences a wide range and is easy to outbreak, but traditional way of monitoring epidemic trends of cholera is of lag because of the incubation period and period from treatment to diagnosis. In order to improve cholerae surveillance and to show early warning of cholera epidemic in time, a growth and reproduction model of vibrio cholera based on improved Cellular Automata Model, is created and verified. According to the model, diffusion of vibrio cholera in river is simulated, integrated with multi-source data including remote sensing inversion data, hydro-geomorphological data, basic geographical data, monitored environmental data and monitored bacteria data.
Keywords :
cellular automata; river pollution; rivers; water quality; bacteria data; basic geographical data; cellular automata model; cholera epidemic trend monitoring; cholera epidemic warning; diagnosis period; environmental data; hydro-geomorphological data; incubation period; infectious disease; multisource data; remote sensing inversion data; rivers; treatment period; vibrio cholera diffusion; vibrio cholera spread; Automata; Computational modeling; Mathematical model; Microorganisms; Monitoring; Remote sensing; Rivers; CA; spreading model; vibrio cholera;
Conference_Titel :
Geoscience and Remote Sensing Symposium (IGARSS), 2012 IEEE International
Conference_Location :
Munich
Print_ISBN :
978-1-4673-1160-1
Electronic_ISBN :
2153-6996
DOI :
10.1109/IGARSS.2012.6351379