Forecasting the spatial transmission of influenza in the United States

Abstract

In the last two decades, multiple outbreaks of emerging pathogens have unexpectedly swept the planet. In these public health emergencies, pathogens invade new regions in the span of just a few weeks to months, leaving a critical window of opportunity during which real-time warning could be sounded. As such, accurate prediction of the spatial spread of pathogens could provide invaluable benefits to global public health. Here we develop and validate an operational forecast system that is capable of predicting the spatial transmission of influenza in the United States. In particular, the onset week of local outbreaks can be accurately predicted up to 6 wk in advance at state level.

Document Details

Document Type
Pub Defense Publication
Publication Date
Feb 26, 2018
Source ID
10.1073/pnas.1708856115

Entities

People

  • Jeffrey Shaman
  • Sasikiran Kandula
  • Sen Pei
  • Wan Yang

Organizations

  • Columbia University
  • Defense Threat Reduction Agency
  • National Institute of Environmental Health Sciences
  • National Institute of General Medical Sciences

Tags

Fields of Study

  • Environmental science

Readers

  • Computational Modeling and Simulation
  • Infectious Disease/Epidemiology
  • Strategic Security Studies