PropertyValue
?:abstract
  • The novel coronavirus 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
  • The novel coronavirus 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.
?:creator
?:journal
  • PLoS_One
?:license
  • unk
?:publication_isRelatedTo_Disease
?:source
  • WHO
?:title
  • Modeling the dynamics of the COVID-19 population in Australia: A probabilistic analysis
?:type
?:who_covidence_id
  • #33007054
  • #810218
?:year
  • 2020

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