Researchers are exploring the use of machine learning models to predict dengue transmission rates, comparing different approaches and incorporating various data sources such as vector indices and meteorological data. Studies are being conducted in several countries, including Bangladesh, Brazil, and Singapore, to evaluate the effectiveness of these models in forecasting dengue outbreaks. The use of different techniques, including neural networks and graph-based deep learning, is being investigated to improve the accuracy of dengue disease forecasting.