Spatiotemporal Analysis of Air Pollution: Applications in Public Health

Comprehensive analysis of spatiotemporal patterns of air pollution, including sources, transport, and health impacts.Advanced statistical and computational methods for modeling and predicting air pollution levels.Case studies and real-world applications demonstrating the use of spatiotemporal analysis in public health decision-making.Exploration of the relationship between air pollution and various health outcomes, such as respiratory and cardiovascular diseases.Guidance on developing and implementing effective air pollution mitigation strategies based on spatiotemporal analysis.