Covid prompted an obsession with disease data unprecedented in American history. For three years, Sheri Lewis and her team at Johns Hopkins University’s Applied Physics Laboratory fed a public dashboard around the clock. Hopkins retired it in March, partly due to state governments’ scaling back the data they put out. Erin caught up with Lewis to discuss what’s next for data-driven disease surveillance in a post-Covid-dashboard world. This interview has been edited for length and clarity. Any disease-surveillance technology on the horizon that you’re excited about? We’re looking at developing sensor technology to more effectively capture what’s going on with individuals. You can envision a future in which not only can I understand what's going on physically inside of you, but also what you’re exposed to. That helps us understand how your health may change over time because you had an exposure to this level of air pollution or something in the water. What about predicting infectious disease outbreaks before they occur? Some people say we should be able to predict disease like we predict the weather. I stop short of that. But if I predict that we’re going to have a flu outbreak, well then, maybe I’m going to take a different action. Humans really can change the trajectory of a disease. If we start to bring in more robust data sources — like genomic-sequencing data of individuals or wastewater surveillance — can that allow us to take action earlier? Did your pandemic work teach you anything that could influence future disease data work? In theory, no matter what crisis we faced, you would have the data at hand to give a better picture of what’s going on, whether that’s an infectious disease like Covid or influenza, or some kind of behavioral health issue like the opioid crisis or disaster response. If you have a hurricane that’s bearing down on Florida or the whole Eastern seaboard, can I look at what kind of injuries we’re seeing? You could also start to look at chronic disease in aging populations and start to understand what some of the biggest challenges are.
|
Comments
Post a Comment