Adaptable model recommends response strategies for Zika, other pandemics
The 2016 Zika virus outbreak, along with recent outbreaks of SARS, bird flu, H1N1 and Ebola, underscore the importance of being prepared for and responding quickly to infectious diseases. Zika, in particular, poses unique challenges, since its associated birth defects and lack of preventive treatment currently threaten over 60 countries.
During pandemics, scientists must race to investigate infection mechanisms, facilitate early detection and apply effective mitigations. Resources and policies for scientific, clinical and technical advances must be coordinated to enable rapid understanding of all aspects of an outbreak in order to minimize damaging impacts.
Eva Lee, professor in the H. Milton Stewart School of Industrial & Systems Engineering at Georgia Tech and director of the Center for Operations Research in Medicine and Healthcare, has developed a biological-behavioral-operational computer model to help policy makers choose the best intervention strategies to rapidly contain an infectious disease outbreak. Her analysis covers the dynamics of disease transmission across different environments and social settings. The modeling system gives on-the-ground policymakers critical information about how to mitigate infection, monitor risk and trace disease during a pandemic.
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