Predicting COVID-19 Transmission to Inform the Management of Mass Events: Model-Based Approach.

Claire L Donnat Freddy Bunbury Jack Kreindler David Liu Filippos T Filippidis Tõnu Esko Austen El-Osta Matthew Harris

Published in: JMIR public health and surveillance (2021)

Despite the unknowns surrounding COVID-19 transmission, our estimation pipeline opens the discussion on contextualized risk assessment by combining the best tools at hand to assess the order of magnitude of the risk. Our model can be applied to any future event and is presented in a user-friendly RShiny interface. Finally, we discussed our model's limitations as well as avenues for model evaluation and improvement.

Keyphrases

risk assessment
coronavirus disease
sars cov
climate change
respiratory syndrome coronavirus
human health