Real-time Forecasting of the 2014 Dengue Fever Season in Thailand

Authors

  • Nicholas G. Reich
  • Krzysztof Sakrejda
  • Stephen A. Lauer
  • Derek A. Cummings
  • Paphanij Suangtho
  • Soawapak Hinjoy
  • Sopon Iamsirithaworn
  • Hannah Clapham
  • Henrik Salje
  • Justin Lessler

DOI:

https://doi.org/10.5210/ojphi.v7i1.5961

Abstract

Real-time surveillance of an infectious disease in a third world country poses many problems that are not conventionally confronted by statistical researchers. As the first ones - to our knowledge - to attempt real-time forecasts of dengue fever in Thailand, we have faced these problems head-on in our quest to build a model that accurately predicts case counts in the presence of erratic reporting, shifting population dynamics, and potential climate change.

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Published

2015-05-08

How to Cite

Reich, N. G., Sakrejda, K., Lauer, S. A., Cummings, D. A., Suangtho, P., Hinjoy, S., Iamsirithaworn, S., Clapham, H., Salje, H., & Lessler, J. (2015). Real-time Forecasting of the 2014 Dengue Fever Season in Thailand. Online Journal of Public Health Informatics, 7(1). https://doi.org/10.5210/ojphi.v7i1.5961

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Section

Accepted Abstracts but Not Presented