Effective methodologies to predict outbreaks of dengue fever may facilitate public health interventions to mitigate the impact of the disease. For best results, the researchers must have access to data streams with timely, detailed and accurate values of predictor variables. High PPV is of principal importance as health officials may be unlikely to spend resources on mitigation efforts based on model predictions without evidence of accuracy on past outbreaks.