Background
The Corona Virus Disease-2019 (COVID-19) pandemic by 2019-nCoV spread worldwide, and by March 27, 2020, 199 countries, including Iran, were affected. Prevention and control of the infection is the most important public health priority,today. The behavior prediction of COVID-19 is a significant problem.
Methods
In this research, we compared the different distributions of COVID-19 cases based on the daily reported data in Iran. We used 36 initial data on new cases and deaths with confirmed 2019-nCoV infection in Iran based on official reports from governmental institutes .We used the three types of continuous distribution known as Normal, Lognormal and Weibull.
Results
Our study showed that the Weibull distribution was the best fit to the data. However, the parameters of distribution were different between data on new cases and daily deaths.
Conclusion
According to the mean and median of the best fitted distribution, we can expect to pass the peak of the disease. In other words, the death rate is decreasing. Similar behaviors of covid-19 in both Iran and China, in the long run, can be seen.
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