The PHI model uses readily
available public health surveillance data to prioritize health issues.»
Not exact matches
In the first external revision proposed to GFT, Ayers and co-researchers David Zhang, Maurcio Santiliana (both with Harvard University), and Benjamin Althouse (with the Santa Fe institute) explored new methods for using open - sourced, publicly
available Google search archives to forecast influenza, an approach that can serve as a blueprint to fix broader shortcomings in
public health surveillance.
After synthesis of
available information we make several key adaptation recommendations including: improving current
surveillance and monitoring systems; concentrating adaptation strategies and policies on vulnerable communities; strengthening adaptive capacity of
public health systems; developing multidisciplinary approaches sustained byan new mechanism of inter-sectional coordination; and increasing awareness and mobilization of the general
public.