Xiao JianHua

Spatiotemporal pattern of peste des petits ruminants and its relationship with meteorological factors in China

Peste des petits ruminants (PPR) is a severe infectious viral disease of domestic and wild small ruminants, and it threatens food security and livelihood of farmers across the world. In China, 292 PPR cases have been reported since it was first reported in 2007. Aiming to display the spatiotemporal patterns of PPR outbreaks and to understand its relationship with meteorological factors, we conducted a direction test, directional distribution analysis, and logistic regression analysis. The results showed that the spread of disease had a significant directional spread (P<0.05). Daily average temperature (DAT) [OR 0.063 (95% CI 0.047-0.076)], daily average relative humidity (DARH) [OR 0.871 (95% CI 0.804-0.944)], and daily hours of sunshine (DHS) [OR 0.411 (95% CI 0.389-0.582)] were inversely associated with the risk of PPR outbreak, while a positive association was observed for daily average air pressure (DAAP) [OR 1.211 (95% CI 1.036-1.417). Our findings indicate that meteorological factors may be important variables for affecting PPR transmission, and should be taken into account in the future monitoring programs for PPR.

Design and Implementation of Stud-farm Daily Management System Based on C/S Structure

In order to achieve the computerization and digitization of the daily system of stud-farm, the immunization system technology, racecourse health monitoring technologies and the stud-farm prevention technologies were combined to built the stud-farm daily management system. By using Visual Studio 2008 and Microsoft Office Access 2003, an immunization information system was developed based on Client/Server structure and combined with the key immunization link of horses. The system included stud-farm immune management and racecourse health monitoring system. The immune management contained immunization information input, the inquiry of immunization information, immunization statistics, immunization-reminding and system management. The racecourse health monitoring system included stud-farm monitoring, horses monitoring and inquiry and statistics of health monitoring. The software realized the analysis and tips of the daily information in stud-farm. The software could record the appropriate data and carry on the statistics. The stud-farm daily management system greatly improved the efficiency of the expanded program about immunization and horses’ healthy rearing technique.

The Fuzzy Model for Diagnosis of Animal Disease

The knowledge of animal disease diagnosis was fuzzy; the fuzzy model can imitate the character of clinical diagnosis for veterinary. The fuzzy model of disease, the methods for class the disease group of differential diagnosis and the fuzzy diagnosis model were discussed in this paper.The knowledge of animal disease diagnosis was fuzzy; the fuzzy model can imitate the character of clinical diagnosis for veterinary. The fuzzy model of disease, the methods for class the disease group of differential diagnosis and the fuzzy diagnosis model were discussed in this paper.