Summary
In this chapter, we tied together many of the tools we examined in previous chapters to tackle a major problem in public health: Ebola outbreaks. We constructed and analyzed properties of spatiotemporal data in a region recently impacted by an Ebola outbreak. We then fed this information into a longitudinal statistical model called a GEE to understand which factors may have contributed to the outbreak’s spread over time and geography using Python.
In this book so far, we have overviewed many tools and now applied them on a final project. Next, we’ll consider nascent tools in network science that offer promise for future projects, including hypergraphs and quantum network science algorithms.
