Researchers are exploring the use of artificial intelligence and machine learning techniques, such as lstm and graph-based deep learning, to forecast and detect dengue outbreaks in Brazil. Various studies are investigating the integration of factors like human mobility and climate to improve the accuracy of these predictions. Different approaches, including neural networks and computational intelligence, are being compared and reviewed to determine their effectiveness in predicting dengue incidence.