BIODIVERSITY CONSERVATION AND TRANSBOUNDARY VETERINARY COLLABORATION

Abstract

This paper examines the potential effectiveness of cross-border collaboration in veterinary medicine in protecting biodiversity and reducing the risk of zoonotic diseases at the migratory passage of wildlife.  Data on the five international conservation zones was collected using GPS-collared wildlife, camera trap data, veterinary clinic reports and interviews with stakeholders.  Bayesian disease risk models and multivariate statistics analysis indicated that there existed high connections concerning the way animals move, the disturbance of ecosystems, and the way diseases spread.  High-risk regions to locate spillover events under the AI-powered predictive system could be located with over 90 percent precision.  Sharing of data across borders, community engagement, and the similarity of the interventional approaches assisted in identifying and preventing the diseases earlier.  Qualitative appraisals also indicated that the presence of logistic and governance issues and capacity-building programs smoothed operations.  The findings indicate that we must possess integrated One Health strategies incorporating both veterinary expertise and environmental surveillance so as to safeguard biodiversity in a sustainable manner and be prepared against transnational epidemics.