Real-Time Evolutionary Tracking for Pathogen Surveillance and Epidemiological Investigation

Permitting analysis of emerging epidemics such as Ebola, MERS-CoV and Zika

The goal of this project is to promote open sharing of viral genomic data and harness this data to make epidemiologically actionable inferences. The team will develop an integrated framework for real-time molecular epidemiology and evolutionary analysis of emerging epidemics, such as Ebola virus, MERS-CoV and Zika virus. The project will use an online visualization platform where the outputs of statistical analyses can be used by public health officials for epidemiological insights within days of samples being taken from patients.

Test Drive the Prototype

http://nextstrain.org/

Read the Team’s Write-up of their Prototype

Download Write-up in PDF format
Read the Write-up online

The Team

  • Trevor Bedford (Fred Hutchinson Cancer Research Center, United States)
  • Richard Neher (Max Planck Institute for Developmental Biology, Germany)

Contact Name

Trevor Bedford

Contact Email

tbedford[at]fredhutch.org

Real-Time Evolutionary Tracking for Pathogen Surveillance and Epidemiological Investigation