Covid 19 Pandemic

The COVID-19 pandemic spurred extensive research focused on understanding its spread, impact, and mitigation. Current research emphasizes developing accurate predictive models using deep learning architectures like LSTMs, CNNs, and Bayesian Neural Networks for forecasting case numbers, identifying anomalies indicative of outbreaks, and analyzing public sentiment and behavior from diverse data sources (social media, news articles, healthcare records). These efforts aim to improve pandemic preparedness and response, offering valuable insights for public health interventions, resource allocation, and policy decisions. The resulting datasets and models are also contributing to advancements in machine learning and data analysis techniques applicable beyond the pandemic context.