Abstract

The dynamics of infectious disease spread are influenced by various spatial and temporal factors, making it essential to adopt comprehensive frameworks that capture these complexities. This paper presents innovative spatiotemporal frameworks for modeling infectious disease diffusion, integrating geographic information systems (GIS) and dynamic modeling techniques. By examining case studies of emerging infectious diseases, we illustrate how these frameworks enhance our understanding of transmission patterns, risk factors, and intervention strategies. The findings underscore the importance of spatial analysis in public health decision-making and provide a foundation for future research aimed at improving disease control measures.