FWin transformer for dengue prediction under climate and ocean influence

arXiv:2403.07027v1 Announce Type: new
Abstract: Dengue fever is one of the most deadly mosquito-born tropical infectious diseases. Detailed long range forecast model is vital in controlling the spread of disease and making mitigation efforts. In this study, we examine methods used to forecast dengue cases for long range predictions. The dataset consists of local climate/weather in addition to global climate indicators of Singapore from 2000 to 2019. We utilize newly developed deep neural networks to learn the intricate relationship between …

abstract arxiv cases climate cs.lg disease diseases forecast infectious diseases influence making ocean prediction predictions study transformer type vital