I enjoyed watching the discussion with Megan Murray and have several questions that I'd be interested in asking, given the chance.
I am curious about the utilization of the data visualization tool that is an atlas of genes associated with certain diseases. I would want to know what happens after a correlation has been determined. How can that information be used to make a meaningful prediction or lessen rates of disease to better a population's health? Murray mentions that those correlations may have genetic or environmental origins. What might the next public health steps be if a correlation is shown to be driven by genetics? By the environment?
As someone interested in the history of medicine and public health, I am curious as to what she believes the role of history to be in modern public health. Why study John Snow- and does it matter if he was really the father of epidemiology? Additionally, are most epidemiologists really familiar with the reality of the story?
That is a very interesting question regarding what happens after a correlation is determined. My guess is that if a correlation is determined by the environment one would suggest changing their daily setting and environment if possible. For example, if they are living in a toxic environment with high pollution and thus that is negatively impacting a community's health, maybe they could implement public policy in that area in order to improve the air quality.