Convolution model for COVID-19 rate predictions and health effort levels computation for Saudi Arabia, France, and Canada.

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Bibliographic Details
Title: Convolution model for COVID-19 rate predictions and health effort levels computation for Saudi Arabia, France, and Canada.
Authors: Al-Hadeethi Y; Physics Department, Faculty of Science, King Abdulaziz University, Jeddah, 21589, Saudi Arabia., Ramley IFE; INToo Solutions, 202-6940 East Blvd, Vancouver, BC, V6M 3V5, Canada. intesar@ramley.com., Sayyed MI; Department of Physics, Faculty of Science, Isra University, Amman, Jordan.; Department of Nuclear Medicine Research, Institute for Research and Medical Consultations (IRMC), Imam Abdulrahman Bin Faisal University (IAU), P.O. Box 1982, Dammam, 31441, Saudi Arabia.
Source: Scientific reports [Sci Rep] 2021 Nov 22; Vol. 11 (1), pp. 22664. Date of Electronic Publication: 2021 Nov 22.
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal Info: Publisher: Nature Publishing Group Country of Publication: England NLM ID: 101563288 Publication Model: Electronic Cited Medium: Internet ISSN: 2045-2322 (Electronic) Linking ISSN: 20452322 NLM ISO Abbreviation: Sci Rep Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:2045-2322
DOI:10.1038/s41598-021-00687-8