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Arch Iran Med. 2020;23(4): 235-238. doi: 10.34172/aim.2020.03
PMID: 32271595

Original Article

The Exponentially Increasing Rate of Patients Infected with COVID-19 in Iran

Leila Moftakhar 1 ORCID, Mozhgan Seif 2 * ORCID

Cited by CrossRef: 24

1- Ashraf M, Sherafat A, Naderi Z, Sami R, Soltaninejad F, Khodadadi S, Mashayekhbakhsh S, Sharafi N, Ahmadi S, Shayganfar A, Zand I, Ajami A, Shirani K. Association of systemic complications with mortality in coronavirus disease of 2019: A cohort study on intensive care unit patients. J Res Med Sci. 2022;27(1):34 [Crossref]
2- Dinçkal Ç. Exact Forecasting for COVID-19 Data: Case Study for Turkey. Adv Data Sci Adapt Data Anal. 2021;13(02) [Crossref]
3- Gautam A, Jha J, Singh A. Modeling and forecasting of confirmed and recovered cases of COVID-19 in India. Int J Acad Med. 2020;6(2):83 [Crossref]
4- Kakemam E, Ghoddoosi-Nejad D, Chegini Z, Momeni K, Salehiniya H, Hassanipour S, Ameri H, Arab-Zozani M. Knowledge, Attitudes, and Practices Among the General Population During COVID-19 Outbreak in Iran: A National Cross-Sectional Online Survey. Front Public Health. 2020;8 [Crossref]
5- Pourmalek F, Rezaei Hemami M, Janani L, Moradi-Lakeh M. Rapid review of COVID-19 epidemic estimation studies for Iran. BMC Public Health. 2021;21(1) [Crossref]
6- Nassiri H, Mohammadpour S, Dahaghin M, Yuan Q. How do the smart travel ban policy and intercity travel pattern affect COVID-19 trends? Lessons learned from Iran. PLoS ONE. 2022;17(10):e0276276 [Crossref]
7- Seif M, Sharafi M, Ghaem H, Kasraei F. Factors associated with survival of Iranian patients with COVID-19: comparison of Cox regression and mixture cure model. Trop Dis Travel Med Vaccines. 2022;8(1) [Crossref]
8- Wang Y, Xu C, Yao S, Zhao Y, Li Y, Wang L, Zhao X.

Estimating the Prevalence and Mortality of Coronavirus Disease 2019 (COVID-19) in the USA, the UK, Russia, and India

. IDR. 2020;Volume 13:3335 [Crossref]
9- Singh H, Khullar V, Sharma M. Estimating the Impact of Covid-19 Outbreak on High-Risk Age Group Population in India. Augment Hum Res. 2020;5(1) [Crossref]
10- Moftakhar L, Piraee E, Mohammadi Abnavi M, Moftakhar P, Azarbakhsh H, Valipour A, Salvetti M. Epidemiological Features and Predictors of Mortality in Patients with COVID-19 with and without Underlying Hypertension. International Journal of Hypertension. 2021;2021:1 [Crossref]
11- Qu Z, Sha Y, Xu Q, Li Y. Forecasting New COVID-19 Cases and Deaths Based on an Intelligent Point and Interval System Coupled With Environmental Variables. Front Ecol Evol. 2022;10 [Crossref]
12- Yu L, Huang L, Tang H, Li N, Rao T, Hu D, Wen Y, Shi L. Analysis of factors influencing the network teaching effect of college students in a medical school during the COVID-19 epidemic. BMC Med Educ. 2021;21(1) [Crossref]
13- Hadianfar A, Yousefi R, Delavary M, Fakoor V, Shakeri M, Lavallière M, Cheong S. Effects of government policies and the Nowruz holidays on confirmed COVID-19 cases in Iran: An intervention time series analysis. PLoS ONE. 2021;16(8):e0256516 [Crossref]
14- Fang L, Wang D, Pan G. Analysis and Estimation of COVID-19 Spreading in Russia Based on ARIMA Model. SN Compr Clin Med. 2020;2(12):2521 [Crossref]
15- Abdoli A. Iran, sanctions, and the COVID-19 crisis. Journal of Medical Economics. 2020;23(12):1461 [Crossref]
16- Godman B, Haque M, Islam S, Iqbal S, Urmi U, Kamal Z, Shuvo S, Rahman A, Kamal M, Haque M, Jahan I, Islam M, Hossain M, Hossain M, Kumar S, Charan J, Bhatt R, Dutta S, Abhayanand J, Sharma Y, Saleem Z, Phuong T, Kwon H, Kurdi A, Wale J, Sefah I. Rapid Assessment of Price Instability and Paucity of Medicines and Protection for COVID-19 Across Asia: Findings and Public Health Implications for the Future. Front Public Health. 2020;8 [Crossref]
17- ArunKumar K, Kalaga D, Sai Kumar C, Chilkoor G, Kawaji M, Brenza T. Forecasting the dynamics of cumulative COVID-19 cases (confirmed, recovered and deaths) for top-16 countries using statistical machine learning models: Auto-Regressive Integrated Moving Average (ARIMA) and Seasonal Auto-Regressive Integrated Moving Average (SARIMA). Applied Soft Computing. 2021;103:107161 [Crossref]
18- Shankar S, Mohakuda S, Kumar A, Nazneen P, Yadav A, Chatterjee K, Chatterjee K. Systematic review of predictive mathematical models of COVID-19 epidemic. Medical Journal Armed Forces India. 2021;77:S385 [Crossref]
19- Zhang F, Pang J, Guo Y, Zhu Y, Zhang H. A Study of Factors Influencing the Use of the DingTalk Online Lecture Platform in the Context of the COVID-19 Pandemic. Sustainability. 2023;15(9):7274 [Crossref]
20- Qu Z, Li Y, Jiang X, Niu C. An innovative ensemble model based on multiple neural networks and a novel heuristic optimization algorithm for COVID-19 forecasting. Expert Systems with Applications. 2023;212:118746 [Crossref]
21- Perone G. Comparison of ARIMA, ETS, NNAR, TBATS and hybrid models to forecast the second wave of COVID-19 hospitalizations in Italy. Eur J Health Econ. 2022;23(6):917 [Crossref]

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About Us

A Monthly Peer-Reviewed Medical Journal Published by the Academy of Medical Sciences of the I.R. Iran; Indexed in PubMed/MEDLINE, ISI Web of Science, EMBASE, SCOPUS, CINHAL, PASCAL, CSA, SID, ISSN: Print 1029-2977, Online 1735-3947.The impact factor of Archives of Iranian Medicine according to Journal Citation Reports® (JCR®) 2016 is 1.20.