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...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 systemfor porcine pasteurellosis was established based onWeb 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 onWebGIS.The performance of theWebGIS technology indicated a great potential for animal infectious disease applications and provided a foundation for future work.展开更多
基金This work was supported by the National Key R&D Program of China(Grant No.2017YFD0501806)the Major Program of Applied Technology Research and Development Plan of Heilongjiang Province(Grant No.GA18B203).
文摘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 systemfor porcine pasteurellosis was established based onWeb 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 onWebGIS.The performance of theWebGIS technology indicated a great potential for animal infectious disease applications and provided a foundation for future work.
