Spatial Analysis in Veterinary Epidemiology | Moran’s I, LISA, Hotspot Detection Explained скачать в хорошем качестве

Spatial Analysis in Veterinary Epidemiology | Moran’s I, LISA, Hotspot Detection Explained

Learn how spatial analysis is used in veterinary epidemiology to detect disease clusters and outbreak hotspots. Here are explained how epidemiologists analyze disease maps using GIS and spatial statistics to understand where outbreaks occur and why. Topics covered include Moran’s I, Geary’s C, LISA (Local Indicators of Spatial Association), Getis-Ord Gi* hotspot analysis, and spatial scan statistics for identifying significant clusters. The video also introduces risk surface modeling, spatial logistic regression, ecological niche modeling, and network analysis of animal movements. You’ll understand how spatial epidemiology helps veterinary authorities detect outbreaks, predict high-risk areas, and design targeted control measures such as vaccination zones, surveillance programs, and quarantine boundaries. This video is is the third part of a veterinary epidemiology and GIS learning series designed for students, researchers, and public health professionals interested in disease mapping and geospatial analysis. Prepared by: Dr. Kujtim Mersini #SpatialAnalysis #VeterinaryEpidemiology #GIS #SpatialStatistics #DiseaseMapping #HotspotAnalysis #EpidemiologyLecture #GeospatialAnalysis #AnimalHealth #PublicHealth #OutbreakInvestigation #Biostatistics #OneHealth #ResearchMethods #GISforHealth