Article

A Bayesian Machine Learning Approach for Spatio-Temporal Prediction of COVID-19 Cases

2021-07-12

Abstract excerpt

<title>Abstract</title> <p>Modeling the behavior and spread of infectious diseases on space and time is key in devising public policies for preventive measures. This behavior is so complex that there are lots of uncertainties in both the data and in the process itself. We argue here that these uncertainties should be taken into account in the modeling strategy. Machine learning methods, and neural networks, in pa...

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Literature Corpus work: 3670bb84-0def-5633-a1f2-3edb15165098
DOI: 10.21203/rs.3.rs-636809/v1

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