Article

Synthetic Data Generation for Improved covid-19 Epidemic Forecasting

2020-12-07

Abstract excerpt

<h4>ABSTRACT</h4> During an epidemic, accurate long term forecasts are crucial for decision-makers to adopt appropriate policies and to prevent medical resources from being overwhelmed. This came to the forefront during the covid-19 pandemic, during which there were numerous efforts to predict the number of new infections. Various classes of models were employed for forecasting including compartmental models and c...

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Literature Corpus work: 765fcce3-275d-5e10-b361-65f39983ac4c
DOI: 10.1101/2020.12.04.20243956

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