Transmission Risk

Transmission risk research focuses on understanding and predicting the spread of infectious diseases, aiming to inform public health interventions and resource allocation. Current studies employ diverse modeling approaches, including agent-based models simulating pedestrian movement and its impact on airborne transmission, network models analyzing the role of transportation hubs and human mobility in disease spread, and machine learning techniques to identify high-risk outbreak locations based on various factors. These analyses contribute to a more nuanced understanding of transmission dynamics, enabling more effective strategies for pandemic preparedness and response, particularly in urban environments.