Author: Cao, ChunXiang; Xu, Min; Chang, ChaoYi; Xue, Yong; Zhong, ShaoBo; Fang, LiQun; Cao, WuChun; Zhang, Hao; Gao, MengXu; He, QiSheng; Zhao, Jian; Chen, Wei; Zheng, Sheng; Li, XiaoWen
Title: Risk analysis for the highly pathogenic avian influenza in Mainland China using meta-modeling Cord-id: s1z9t5lh Document date: 2010_12_9
ID: s1z9t5lh
Snippet: A logistic model was employed to correlate the outbreak of highly pathogenic avian influenza (HPAI) with related environmental factors and the migration of birds. Based on MODIS data of the normalized difference vegetation index, environmental factors were considered in generating a probability map with the aid of logistic regression. A Bayesian maximum entropy model was employed to explore the spatial and temporal correlations of HPAI incidence. The results show that proximity to water bodies a
Document: A logistic model was employed to correlate the outbreak of highly pathogenic avian influenza (HPAI) with related environmental factors and the migration of birds. Based on MODIS data of the normalized difference vegetation index, environmental factors were considered in generating a probability map with the aid of logistic regression. A Bayesian maximum entropy model was employed to explore the spatial and temporal correlations of HPAI incidence. The results show that proximity to water bodies and national highways was statistically relevant to the occurrence of HPAI. Migratory birds, mainly waterfowl, were important infection sources in HPAI transmission. In addition, the HPAI outbreaks had high spatiotemporal autocorrelation. This epidemic spatial range fluctuated 45 km owing to different distribution patterns of cities and water bodies. Furthermore, two outbreaks were likely to occur with a period of 22 d. The potential risk of occurrence of HPAI in Mainland China for the period from January 23 to February 17, 2004 was simulated based on these findings, providing a useful meta-model framework for the application of environmental factors in the prediction of HPAI risk.
Search related documents:
Co phrase search for related documents- absence presence and accuracy increase: 1
- absence presence and accuracy validate: 1
- absolute accuracy and accuracy increase: 1
Co phrase search for related documents, hyperlinks ordered by date