LAUSR

Abstract The incidence of porcine pasteurellosis in China is so widespread that it is difficult to clearly understand the prevalence and maintain continuous monitoring. In order to reduce immense negative economic impact on the livestock industry; monitoring, early warning, and visual management systems are highly desirable. In this study, a monitoring and early warning system for porcine pasteurellosis was established based on Web Geographical Information System (WebGIS) technology. By establishing a path analysis function, buffer analysis function, and hot spot analysis function, it can provide a method of support and control of infectious diseases. For early warning of disease, four common interpolation methods were tested, all of which showed that the affected area of porcine pasteurellosis in China was mainly concentrated in the south of the mainland. A cross-validation method was used to compare the four interpolation methods. The cross-validation showed that the inverse distance weighting (IDW) method was suitable for forecasting the occurrence of porcine pasteurellosis in China. Finally, using C sharp (C#) as the development language and WebGIS technology, a monitoring and early warning system based on Browser/Server structure was developed. This is the first monitoring and early warning system of porcine pasteurellosis based on WebGIS. The performance of the WebGIS technology indicated a great potential for animal infectious disease applications and provided a foundation for future work.