NDLI: A Cellular Automaton Model for the Transmission Dynamics of Schistosomiasis

Content Provider	IEEE Xplore Digital Library
Author	Yun Liu Kai Chu Xiaoli Xu Haiwei Wu Cheng Wan
Copyright Year	2010
Description	Author affiliation: Dept. of Public Service Manage., Nanjing Med. Univ., Nanjing, China (Cheng Wan) \|\| Dept. of Pathogen Biol., Nanjing Med. Univ., Nanjing, China (Yun Liu; Kai Chu; Xiaoli Xu; Haiwei Wu)
Abstract	In this paper, a new stochastic model based on cellular automata is established to simulate the occurrence and development of Schistosoma japonicum (S. japonicum) infection in an endemic population. We included the process of the pathogen invasion from exposure to worm development and till worm death when the infection is cleared in the model. We further utilized the model to predict the prevalence as the outcomes of the selected chemotherapy carried out in Jiahu village. Comparing model predicted prevalence and intensities with the observed parameters, it is anticipated that our cellular automaton transmission model can serve as a tool for studying schistosomiasis transmission dynamics in endemic areas.
Sponsorship	IEEE Eng. Med. Biol. Soc.
Starting Page	1
Ending Page	4
File Size	324167
Page Count	4
File Format	PDF
ISBN	9781424447121
ISSN	21517622
DOI	10.1109/ICBBE.2010.5514785
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-06-18
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Pathogens Biological system modeling Medical simulation Automata Stochastic processes Differential equations Predictive models Lakes Mathematical model Diseases
Content Type	Text
Resource Type	Article

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