Author: Hussein, R.
Title: A HYBRID KNOWLEDGE-BASED AND MODIFIED REGRESSION ANALYSIS APPROACH FOR COVID-19 TRACKING IN USA Cord-id: nrrdww9a Document date: 2020_7_29
ID: nrrdww9a
Snippet: Since its appearance in 2019, the covid-19 virus deluged the world with unprecedented data in short time. Despite the countless worldwide pertinent studies and advanced technologies, the spread is neither contained nor defeated. In fact, there is a record surge in the number of confirmed new cases since July 2020. This article presents a new predictive Knowledge-based (KB) toolkit named CORVITT (Corona Virus Tracking Toolkit) and modified linear regression model. This hybrid approach uses the co
Document: Since its appearance in 2019, the covid-19 virus deluged the world with unprecedented data in short time. Despite the countless worldwide pertinent studies and advanced technologies, the spread is neither contained nor defeated. In fact, there is a record surge in the number of confirmed new cases since July 2020. This article presents a new predictive Knowledge-based (KB) toolkit named CORVITT (Corona Virus Tracking Toolkit) and modified linear regression model. This hybrid approach uses the confirmed new cases and demographic data, implemented. CORVITT is not an epidemiological model, in the sense that it does not model disease transmission, nor does it use underlying epidemiological parameters like the reproductive rate. It forecasts the spread in order to assist the official to make proactive intervention.
Search related documents:
Co phrase search for related documents- adaptable structure and additional development: 1
Co phrase search for related documents, hyperlinks ordered by date