Journal of Infectious Diseases & Preventive Medicine
Open Access
ISSN: 2329-8731
ISSN: 2329-8731
Dr, Department of Neuroscience, University of California, San Diego, USA
Research Article
A Prediction Model for COVID-19 Prevalence Based on Demographic and Healthcare Parameters in Iran
Author(s): Parimah Emadi Safavi, Karim Rahimian, Alireza Doustmohammadi, Mahla Safari Dastjerdei, Ahmadreza Rasouli and Javad Zahiri*
Background: Coronavirus Disease 2019 (COVID-19) pandemic has become the greatest threat to global health in
only a matter of months. Iran struggling with COVID-19 coincidence with Nowruz vacations has led to horrendous
consequences for both people and the public health workforce. Modeling approaches have been proved to be highly
advantageous in taking appropriate actions in the early stages of the pandemic. To this date, no study has been
conducted to model the disease to investigate the prevalence of COVID-19 cases, especially after travel restrictions in Iran. We investigated contributing factors of early-stage coronavirus spread via generating a model to predict daily confirmed cases in Iran.
Methods: In this study, we collected publicly available data of confirmed cases in 24 provinces from April 4, 2020,
to May 2, 2020, wit.. View More»
DOI:
10.35248/2329-8731.21.9.239