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The novel Corona Virus COVID-19 arrived on Australian shores around 25 January 2020. This paper presents a novel method of dynamically modeling and forecasting the COVID-19 pandemic in Australia with a high degree of accuracy and in a timely manner using limited data; a valuable resource that can be used to guide government decision-making on societal restrictions on a daily and/or weekly basis. The \'partially-observable stochastic process\' used in this study predicts not only the future actual values with extremely low error, but also the percentage of unobserved COVID-19 cases in the population. The model can further assist policy makers to assess the effectiveness of several possible alternative scenarios in their decision-making processes.
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?:doi
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10.1101/2020.05.25.20112482
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document_parses/pdf_json/d92fae71f43a6392a37fcbff06e8ecb04174e60c.json
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?:title
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Modeling the Dynamics of the COVID-19 Population in Australia: A Probabilistic Analysis
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