公开(公告)号：US20220406471A1

公开(公告)日：2022-12-22

申请号：US17353286

申请日：2021-06-21

申请人： INTERNATIONAL BUSINESS MACHINES CORPORATION

发明人： Partho Ghosh ,  Saraswathi Sailaja Perumalla ,  Sri Satya Trinadha Narasimha Rao Pyla ,  Pavan K Manda

IPC分类号： G16H50/80 ,  G16H40/67 ,  G16H50/70 ,  G16H50/50 ,  G16H50/20 ,  G16H50/30 ,  G06N5/04 ,  G06N20/00

摘要： Epidemiological modeling and simulation includes generating a virtual representation of a predetermined geospatial region by communicating in real time via a data communications network with a plurality of sensor-endowed computing nodes that capture and convey sensor-generated data in real time to the networked computer. A causal network is derived for mapping biodata onto inferences regarding pathogenic vector dynamics of a known pathogen based on stochastic vector probabilities. The biodata can be culled from historical data associated with the predetermined geospatial region. A visualization of selected characteristics of the predetermined geospatial region is generated and a corresponding epidemiological model created based on the historical data. Sensor-generated data and historical data are correlated. An expected effect of the known pathogen on a population of the geospatial region is predicted using a model simulation based on correlating the sensor-generated data and historical data.