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Estimation of the basic reproduction number (𝑅0) of the COVID-19 epidemic in Iran.
Azimi, Seyyedeh Sara; Koohi, Fatemeh; Aghaali, Mohammad; Nikbakht, Roya; Mahdavi, Maryam; Mokhayeri, Yaser; Mohammadi, Rasool; Taherpour, Niloufar; Nakhaeizadeh, Mehran; Khalili, Davood; Sharifi, Hamid; Hashemi Nazari, Seyed Saeed.
  • Azimi SS; Student Research Committee, Department of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Koohi F; Department of Epidemiology, School of Health, Qom University of Medical Sciences, Qom, Iran.
  • Aghaali M; Department of Epidemiology, School of Health, Qom University of Medical Sciences, Qom, Iran.
  • Nikbakht R; Department of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Mahdavi M; Department of Biostatistics, Faculty of Health, Mazandaran University of Medical Sciences, Sari, Iran.
  • Mokhayeri Y; Obesity Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Mohammadi R; Department of Epidemiology and Biostatistics, School of Public Health and Nutrition, Lorestan University of Medical Sciences, Khorramabad, Iran.
  • Taherpour N; Department of Epidemiology and Biostatistics, School of Public Health and Nutrition, Lorestan University of Medical Sciences, Khorramabad, Iran.
  • Nakhaeizadeh M; Department of Epidemiology, School of Public Health and Safety, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Khalili D; Modeling in Health Research Center, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
  • Sharifi H; Prevention of Metabolic Disorders Research Center, Research Institute for Endocrine Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
  • Hashemi Nazari SS; HIV/STI Surveillance Research Center, and WHO Collaborating Center for HIV Surveillance, Institute for Futures Studies in Health, Kerman University of Medical Sciences, Kerman, Iran.
Med J Islam Repub Iran ; 34: 95, 2020.
Article in English | MEDLINE | ID: covidwho-1178659
ABSTRACT

Background:

Estimation of the basic reproduction number of an infectious disease is an important issue for controlling the infection. Here, we aimed to estimate the basic reproduction number (𝑅0) of COVID-19 in Iran.

Methods:

To estimate 𝑅0 in Iran and Tehran, the capital, we used 3 different

methods:

exponential growth rate, maximum likelihood, and Bayesian time-dependent. Daily number of confirmed cases and serial intervals with a mean of 4.27 days and a standard deviation of 3.44 days with gamma distribution were used. Sensitivity analysis was performed to show the importance of generation time in estimating 𝑅0.

Results:

The epidemic was in its exponential growth 11 days after the beginning of the epidemic (Feb 19, 2020) with doubling time of 1.74 (CI 1.58-1.93) days in Iran and 1.83 (CI 1.39-2.71) in Tehran. Nationwide, the value of 𝑅0 from February 19 to 29 using exponential growth method, maximum likelihood, and Bayesian time-dependent methods was 4.70 (95% CI 4.23-5.23), 3.90 (95% CI 3.47- 4.36), and 3.23 (95% CI 2.94-3.51), respectively. In addition, in Tehran, 𝑅0 was 5.14 (95% CI 4.15-6.37), 4.20 (95% CI 3.38-5.14), and 3.94 (95% CI 3.45-4.40) for exponential growth, maximum likelihood, and Bayesian time-dependent methods, respectively. Bayesian time dependent methods usually provide less biased estimates. The results of sensitivity analyses demonstrated that changes in the mean generation time affect estimates of 𝑅0.

Conclusion:

The estimate of 𝑅0 for the COVID-19 ranged from 3.94 to 5.14 in Tehran and from 3.23 to 4.70 in nationwide using different methods, which were significantly larger than 1, indicating the potential of COVID-19 to cause an outbreak.
Keywords

Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Med J Islam Repub Iran Year: 2020 Document Type: Article Affiliation country: Mjiri.34.95

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Full text: Available Collection: International databases Database: MEDLINE Language: English Journal: Med J Islam Repub Iran Year: 2020 Document Type: Article Affiliation country: Mjiri.34.95