Development and application of a WebGIS-based prediction system for multi-criteria decision analysis of porcine pasteurellosis.

ABSTRACT: Porcine pasteurellosis is an infectious disease caused by Pasteurella multocida (P. multocida), which seriously endangers the healthy development of pig breeding industry. Early detection of disease transmission in animals is a crucial early warning for humans. Therefore, predicting risk areas for disease is essential for public health authorities to adopt preventive measures and control strategies against diseases. In this study, we developed a predictive model based on multi-criteria decision analysis (MCDA) and assessed risk areas for porcine pasteurellosis in the Chinese mainland. By using principal component analysis, the weights of seven spatial risk factors were determined. Fuzzy membership function was used to standardize all risk factors, and weight linear combination was used to

SUBMITTER: Liu T 

PROVIDER: S-EPMC11387481 | biostudies-literature | 2024 Sep

REPOSITORIES: biostudies-literature