A cellular automaton model for the transmission dynamics of schistosomiasis

摘要：

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.

作者: Yun Liu Kai Chu Xiaoli Xu Haiwei Wu Cheng Wan

作者单位: Department of Pathogen Biology Nanjing Medical University Nanjing, China Department of Public Service Management Nanjing Medical University Nanjing, China

会议类型: 国际会议

会议名称: The 4th International Conference on Bioinformatics and Biomedical Engineering(第四届IEEE生物信息与生物医学工程国际会议 iCBBE 2010)

会议地点: 成都

会议语种:英文

页码: 1-4

在线出版日期: 2010-06-18（万方平台首次上网日期，不代表论文的发表时间）