Researchers are exploring the use of neural networks and artificial intelligence for forecasting dengue disease outbreaks. Various studies have applied different approaches, including graph-based deep learning and spatio-temporal graph convolutional networks, to model disease spread dynamics and predict outbreaks. The role of digital health technologies and artificial intelligence in public health surveillance is also being examined, with some studies focusing on the impact of the COVID-19 pandemic on dengue transmission.