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This invention describes a computer system designed to predict the progression of events, particularly epidemics. It operates by taking details about fictional groups of people (synthetic populations) and their expected disease spread, then combines this with historical data to build a disease model. The system can also collect forecasts or data from users via a user interface to improve its predictions. The claims specifically narrow the invention to using synthetic populations for modeling epidemics.
Why it matters: The COVID-19 pandemic, which emerged after this was filed, created an urgent global need for sophisticated epidemic forecasting and modeling systems. Significant advancements in AI and machine learning since 2017 also make the complex data analysis and model building described more powerful and feasible.
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