Global Pandemic

Global pandemics pose significant threats to public health and global economies, demanding accurate forecasting and effective mitigation strategies. Current research focuses on developing sophisticated predictive models, employing deep learning architectures like graph neural networks and recurrent neural networks, along with agent-based simulations to analyze disease spread dynamics and the impact of various interventions (e.g., lockdowns, vaccination campaigns). These models leverage diverse data sources, including epidemiological data, social media sentiment, and mobility patterns, to improve forecasting accuracy and inform policy decisions. The insights gained are crucial for enhancing preparedness and response capabilities for future pandemic events.