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http://conacyt.repositorioinstitucional.mx/jspui/handle/1000/2358| Statistical Distribution of Novel coronavirus in Iran | |
| Soltani-Kermanshahi Mojtaba. Gholami Elham. Mansori Kamyar. | |
| Acceso Abierto | |
| Atribución-NoComercial-SinDerivadas | |
| 10.21203/rs.3.rs-19181/v1 | |
| Background The Corona Virus Disease-2019 (COVID-19) pandemic by 2019-nCoV is spreading worldwide, and by March 27, 2020, 199 countries, including Iran, have been affected. Prevention and control of infection is the most important priority for the public health. The behavior prediction of COVID-19 is an important problem. Methods In this research, we compared the different distributions of COVID-19 cases based on the daily reported data of Iran. We used 36 initial data on new cases and deaths with confirmed 2019-nCoV infection of 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 with the data. But the Parameters of distribution were different between new cases and daily deaths data. Conclusion According to the mean and median of the best fitted distribution, we can expect to pass the peak of the disease. The death rate is decreasing. We can see the similar behaviors of covid-19 in both Iran and China in the long run. | |
| assets.researchsquare.com | |
| 2020 | |
| Artículo | |
| https://assets.researchsquare.com/files/rs-19181/v1/manuscript.pdf | |
| Inglés | |
| VIRUS RESPIRATORIOS | |
| Aparece en las colecciones: | Artículos científicos |
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