Corpus ID: 237485452

Prediction and Prevention of Pandemics via Graphical Model Inference and Convex Programming

@article{Krechetov2021PredictionAP,
  title={Prediction and Prevention of Pandemics via Graphical Model Inference and Convex Programming},
  author={Mikhail Krechetov and Amir Mohammad Esmaieeli Sikaroudi and Alon Efrat and Valentin Polishchuk and Michael Chertkov},
  journal={ArXiv},
  year={2021},
  volume={abs/2109.04517}
}
Hard-to-predict bursts of COVID-19 pandemic revealed significance of statistical modeling which would resolve spatiotemporal correlations over geographical areas, for example spread of the infection over a city with census tract granularity. In this manuscript, we provide algorithmic answers to the following two inter-related public health challenges of immense social impact which have not been adequately addressed by the AI community. (1) Inference Challenge: assuming that there are N census… Expand

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