Title of article :
The Prediction of COVID-19 Spread in Iran From 15 March to 15 April 2020
Author/Authors :
Jamshidi, Babak Kermanshah University of Medical Sciences, Kermanshah , Rezaei, Mansour Kermanshah University of Medical Sciences, Kermanshah , Najafi, Farid Kermanshah University of Medical Sciences, Kermanshah , Sheikhi, Azad Tarbiat Modares University, Tehran
Abstract :
Background: Over 150,000 confirmed cases, around 140 countries, and about 6,000 death occurred owing to coronavirus disease
2019 (COVID-19) pandemic in China, Italy, Iran, and South Korea. Iran reported its first confirmed cases of COVID-19 in Qom City on
19 February 2020 and has the third-highest number of COVID-19 deaths after China and Italy and the highest inWestern Asia.
Methods:We applied a two-part model of time series to predict the spread of COVID-19 in Iran through addressing the daily relative
increments. All of the calculations, simulations, and results in our paper were carried out by using MatLab R2015b software. The
average, upper bound, and lower bound were calculated through 100 simulations of the fitted models.
Results: According to the prediction, it is expected that by 15 April 2020, the relative increment (RI) falls to the interval 1.5% to 3.6%
(average equal to 2.5%). During the last three days, the RI belonged to the interval of 12% to 15%. It is expected that the reported
cumulative number of confirmed cases reaches 71,000 by 15 April, 2020. Moreover, 80% confidence interval was calculated as 35K
and 133K.
Conclusions: The screening of suspected people, using their electronic health files, helps isolate the patients in their earlier stage,
which in turn helps decrease the period of transmissibility of the patients. Considering all issues, the best way is to apply the model
with no modification to model the probable increasing or decreasing acceleration of spreading.
Keywords :
COVID-19 , Iran , Prediction , Time Series , Model , Spreading , Cumulative Number , Daily Relative Increment
Journal title :
Iranian Red Crescent Medical Journal