• Corpus ID: 219305109

Time Series Methods and Ensemble Models to Nowcast Dengue at the State Level in Brazil

  title={Time Series Methods and Ensemble Models to Nowcast Dengue at the State Level in Brazil},
  author={Katherine Kempfert and Kaitlyn Martinez and Amir S. Siraj and Jessica Conrad and Geoffrey Fairchild and Amanda Ziemann and Nidhi Parikh and Dave Osthus and Nicholas Generous and Sara Y. Del Valle and Carrie A. Manore},
  journal={arXiv: Applications},
Predicting an infectious disease can help reduce its impact by advising public health interventions and personal preventive measures. Novel data streams, such as Internet and social media data, have recently been reported to benefit infectious disease prediction. As a case study of dengue in Brazil, we have combined multiple traditional and non-traditional, heterogeneous data streams (satellite imagery, Internet, weather, and clinical surveillance data) across its 27 states on a weekly basis… 
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