The future of mapping in epidemiology looks promising with advances in technology and data science. Improved GIS software, enhanced data collection methods, and the integration of machine learning and artificial intelligence (AI) are set to revolutionize the field. These innovations will allow for more precise and real-time mapping, facilitating quicker and more effective public health responses. Moreover, the growing availability of open data will democratize access to mapping tools, enabling wider participation and collaboration in public health initiatives.
