Something I feel not everyone appreciates in stories about airborne Covid-19 spread. Epidemiologists and engineers approach this question with different tools, and different questions. (Correct me if I'm wrong here, please).
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Neither approach perfectly answers the question of what we really want to know: Which is an omniscient view of how virus gets from one body to another, in the real world, and causes infections.
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Scientists of different disciplines use different methods to ask the same questions, and there usually is a gap between their answers, and the way they define the problem. Any method comes with caveats.
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This is normal. This is how the science game works. Hopefully the gap between the approaches will narrow. What's good is that when you talk to epis/ engineers, they mostly agree on the important points, though they sometimes argue about the terminology we should use.
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Also this approach too!https://twitter.com/angie_rasmussen/status/1293935955586322432?s=20 …
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I agree with Brian on this. I cant speak for all epidemiologists but I do think most of us are using our pre-existing expertise of infectious diseases to understand what is and is not likely, while we wait for more data.
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EngPhys (Engineer physicist) asks: " Which disease spreading model do they currently available real world data fit, and how do we match it in the course of this pandemic?"
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@jljcolorado It's been exciting to see you bring your aerosol expertise to this problem. Where are you on this spectrum? (My sense is something in middle, where real world is providing the experiments to demonstrate the physics)Thanks. Twitter will use this to make your timeline better. UndoUndo
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This is a big difference between science and engineering. Engineering often uses correlations without being derived from theory. (See Reynolds number). The thing is the bounds of which they are valid are well known.
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