Transmission risks of schistosomiasis japonica: extraction from back-propagation artificial neural network and logistic regression model.

• Main Authors: Jun-Fang Xu (Author), Jing Xu (Author), Shi-Zhu Li (Author), Tia-Wu Jia (Author), Xi-Bao Huang (Author), Hua-Ming Zhang (Author), Mei Chen (Author), Guo-Jing Yang (Author), Shu-Jing Gao (Author), Qing-Yun Wang (Author), Xiao-Nong Zhou (Author)
• Format: Book
• Published: Public Library of Science (PLoS), 2013-01-01T00:00:00Z.
• Subjects: article
• Online Access: Connect to this object online.

BACKGROUND: The transmission of schistosomiasis japonica in a local setting is still poorly understood in the lake regions of the People's Republic of China (P. R. China), and its transmission patterns are closely related to human, social and economic factors. METHODOLOGY/PRINCIPAL FINDINGS: We...