PropertyValue
?:abstract
  • Research background: On 11 March 2020, the Covid-19 epidemic was identified by the World Health Organization (WHO) as a global pandemic The rapid increase in the scale of the epidemic has led to the introduction of non-pharmaceutical countermeasures Forecast of the Covid-19 prevalence is an essential element in the actions undertaken by authorities Purpose of the article: The article aims to assess the usefulness of the Auto-regressive Integrated Moving Average (ARIMA) model for predicting the dynamics of Covid-19 incidence at different stages of the epidemic, from the first phase of growth, to the maximum daily incidence, until the phase of the epidemic\'s extinction Methods: ARIMA(p,d,q) models are used to predict the dynamics of virus distribution in many diseases Model estimates, forecasts and the accuracy of forecasts are presented in this paper Findings & Value added: Using the ARIMA(1,2,0) model for forecasting the dynamics of Covid-19 cases in each stage of the epidemic is a way of evaluating the implemented non-pharmaceutical countermeasures on the dynamics of the epidemic
is ?:annotates of
?:creator
?:journal
  • Equilibrium-Quarterly_Journal_of_Economics_and_Economic_Policy
?:license
  • unk
?:publication_isRelatedTo_Disease
?:source
  • WHO
?:title
  • ARIMA-based forecasting of the dynamics of confirmed Covid-19 cases for selected European countries
?:type
?:who_covidence_id
  • #638407
?:year
  • 2020

Metadata

Anon_0  
<http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://purl.org/net/provenance/ns#DataItem>
<http://www.w3.org/1999/02/22-rdf-syntax-ns#type> <http://www.w3.org/2004/03/trix/rdfg-1/Graph>
<http://xmlns.com/foaf/0.1/primaryTopic> <https://research.tib.eu/covid-19/entity/qewgk0ey>
<http://xmlns.com/foaf/0.1/topic> Anon_0
<http://www.ontologydesignpatterns.org/cp/owl/informationrealization.owl#realizes> <https://research.tib.eu/covid-19/data/entity/qewgk0ey>
<http://purl.org/net/provenance/ns#createdBy>
Anon_1   (more)
expand all