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Take this research out of Johns Hopkins, published in early 2013: a team examined how to build a better influenza model, starting with emergency-room clinical data and trying to add anything else that might help including variables such as GFT, meteorological data (temperature, change in temperature, and relative humidity) and temporal variables (Julian weeks, and seasonality).
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