Spatio-Temporal Epidemiology examines how health events and diseases vary across both space and time. It integrates geographic and temporal data to analyze disease trends, transmission dynamics, and changes in risk patterns over time. In public health, spatio-temporal epidemiology is essential for understanding how outbreaks emerge, spread, and decline across regions. It is widely used in infectious disease surveillance, environmental health studies, and climate-related health research. This approach helps identify early warning signals, seasonal patterns, and the impact of interventions. Advanced statistical models and GIS tools support real-time monitoring and prediction of health events. By capturing when and where health risks occur, spatio-temporal epidemiology improves preparedness, response, and prevention strategies, enabling more timely, targeted, and effective public health actions.
Title : Artificial radionuclides and evolutionary mismatch: Vulnerability of the colon, pancreas, diabetes, and arteries
Sebastiano Venturi, Department of Public Health of Rimini, Italy
Title : Specific strategies over the life course for early identification, prevention, treatment, and long-term support
Christopher Ashton, Center for Recovery, Canada
Title : Population health, public health and the social determinants of health: The state of the science
Adele Ann Webb, Strategic Education, Inc., United States
Title : The nutritional management of healthy menu plans
Iuliana Vintila, Dunărea de Jos University of Galați, Romania
Title : Healthcare system profiles and pandemic outcomes: A cross-country multi-dimensional scaling analysis of Cuba, Spain, Italy, and Germany
Giuseppe Orlando, University of Bari Aldo Moro, Italy
Title : Change your genes – change your life: Epigenetics of longevity
Kenneth R Pelletier, USCF School of Medicine, United States