Author: Tennakone, K.; DeSilva, L. A.; Jayanath, K.; Welchel, Z. J.
Title: Evolution of the COVID Pandemic: A Technique for Mathematical Analysis of Data Cord-id: zirtmzxn Document date: 2020_5_12
ID: zirtmzxn
Snippet: The analysis of COVID-19 statistics in different regions of the world with the intention of understanding the trend of progression of the pandemic is a task of paramount importance. Publicly available data includes cumulative number of cases, new cases each day, and the mortality. Extracting information from this data necessitates mathematical modeling. In this note a simple technique is adopted to determine the trend towards stabilized elimination of the infection. Results pertaining to several
Document: The analysis of COVID-19 statistics in different regions of the world with the intention of understanding the trend of progression of the pandemic is a task of paramount importance. Publicly available data includes cumulative number of cases, new cases each day, and the mortality. Extracting information from this data necessitates mathematical modeling. In this note a simple technique is adopted to determine the trend towards stabilized elimination of the infection. Results pertaining to several representative regions of the world are presented.
Search related documents:
Co phrase search for related documents- Try single phrases listed below for: 1
Co phrase search for related documents, hyperlinks ordered by date