Corona Virus Outbreak in Iran: A Comparison with China, Italy and South Korea in One Month after Infection
Introduction: The coronavirus outbreak has become a serious issue of the entire world. In some ways, the ability to provide outbreak rate prediction is helpful. Therefore the main purpose of this study was to investigate the incidence pattern of Confirmed COVID-19 Cases in Iran, and comparison between countries with high infected person such as China, Italy and South Korea.
Method: In this cross sectional study 126789 infected cases with COVID 19 related countries with highest infection, China, Italy, Iran and South Korea in 30 day timespan was extracted from the cumulative frequency chart at https://www.worldmeters. Info/coronavirus/. The incidence rate pattern was presented.
Results: The findings show the frequency pattern of the infected person’s frequency within 30 days since the first case has observed in Iran are similar. Although incidence rate coronavirus is similar to other countries in during 14 days, but after the 14th day, there is a noticeable difference between the obtained pattern of confirmed cases in Iran and other countries. There is a spectacular difference in the number of patients in Iran and South Korea after the seventh day and between Iran and Italy after the fourteenth day.
Conclusion: The Covid-19 quickly spread across the world and caused varying challenges. Thus the prevention strategies aimed at reducing transmission in the community are a necessity.
2. Guan WJ, Ni ZY, Hu Y, Liang WH, Ou CQ, He JX, Liu L, Shan H, Lei CL, Hui DS, Du B. Clinical characteristics of coronavirus disease 2019 in China. New England journal of medicine. 2020 Apr 30;382(18):1708-20.
3. Zhou P, Yang XL, Wang XG, Hu B, Zhang L, Zhang W, Si HR, Zhu Y, Li B, Huang CL, Chen HD. A pneumonia outbreak associated with a new coronavirus of probable bat origin. nature. 2020 Mar;579(7798):270-3.
4. COVID-19 Coronavirus Outbreak,last, updated:Mar12,2020,http://www.worldmeter s.info/coronavirus. June 15,2020.
5. The impact of coronavirus acrossindustry and finance,Financial time, updated:March12,2020,https://www.ft.com/content/f3fcdc5a-4119-11ea-bdb5- 169ba7be433d
6. Coronavirus: The world economy at risk. OECD Interim Economic Assessment. 2 March 2020.
7. Schoeman D, Fielding BC. Coronavirus envelope protein: current knowledge. Virology journal. 2019 Dec;16(1):1-22.
8. V'kovski P, Gerber M, Kelly J, Pfaender S, Ebert N, Lagache SB, Simillion C, Portmann J, Stalder H, Gaschen V, Bruggmann R. Determination of host proteins composing the microenvironment of coronavirus replicase complexes by proximity-labeling. Elife. 2019 Jan 11;8:e42037.
9. Fehr AR, Perlman S. Coronaviruses: an overview of their replication and pathogenesis. InCoronaviruses 2015 (pp. 1-23). Humana Press, New York, NY.
10. Chen H, Guo J, Wang C, Luo F, Yu X, Zhang W, Li J, Zhao D, Xu D, Gong Q, Liao J. Clinical characteristics and intrauterine vertical transmission potential of COVID-19 infection in nine pregnant women: a retrospective review of medical records. The Lancet. 2020 Feb 12.
11. Pan F, Ye T, Sun P, Gui S, Liang B, Li L, Zheng D, Wang J, Hesketh RL, Yang L, Zheng C. Time course of lung changes on
chest CT during recovery from 2019 novel coronavirus (COVID-19) pneumonia. Radiology. 2020 Feb 13:200370.
12. Gorbalenya AE, Baker SC, Baric R, Groot RJ, Drosten C, Gulyaeva AA, Haagmans BL, Lauber C, Leontovich AM, Neuman BW, Penzar D. Severe acute respiratory syndrome-related coronavirus: The species and its viruses–a statement of the Coronavirus Study Group.
13. Chan JF, Yip CC, To KK, Tang TH, Wong SC, Leung KH, Fung AY, Ng AC, Zou Z, Tsoi HW, Choi GK. Improved molecular
diagnosis of COVID-19 by the novel, highly sensitive and specific COVID-19-RdRp/Hel real-time reverse transcription-PCR assay validated in vitro and with clinical specimens. Journal of Clinical Microbiology. 2020 Apr 23;58(5).
14. López-Alcalde J, Yan Y, Witt CM, Barth J. Current state of research about Chinese herbal medicines (CHM) for the treatment of coronavirus disease 2019 (COVID-19): a scoping review. The Journal of Alternative and Complementary Medicine. 2020 Jul 1;26(7):557-70.
15. Anderson RM, Heesterbeek H, Klinkenberg D, Hollingsworth TD. How will country-based mitigation measures influence the course of the COVID-19 epidemic?. The Lancet. 2020 Mar 21;395(10228):931-4.
16. Bowman S, Unwin N, Critchley J, Capewell S, Husseini A, Maziak W, Zaman S, Romdhane HB, Fouad F, Phillimore P,
Unal B. Use of evidence to support healthy public policy: a policy effectivenessfeasibility loop. Bulletin of the World Health Organization. 2012;90:847-53.
17. Zhan C, Chi KT, Lai Z, Hao T, Su J. Prediction of COVID-19 spreading profiles in South Korea, Italy and Iran by data-driven coding. medRxiv. 2020 Jan 1.
18. Shojaee S, Pourhoseingholi MA, Ashtari S, Vahedian-Azimi A, Asadzadeh-Aghdaei H, Zali MR. Predicting the mortality due to Covid-19 by the next month for Italy, Iran and South Korea; a simulation study. Gastroenterology and Hepatology from Bed to Bench. 2020;13(2):177.
19. Chen J, Lu H, Melino G, Boccia S, Piacentini M, Ricciardi W, Wang Y, Shi Y, Zhu T. COVID-19 infection: the China and
Italy perspectives. Cell Death & Disease. 2020 Jun 8;11(6):1-7.
20. Strzelecki A. The second worldwide wave of interest in coronavirus since the COVID19 outbreaks in South Korea, Italy and Iran: a google trends study. arXiv preprint arXiv:2003.10998. 2020 Mar 24.
21. Nazari E, Tabesh H. Outbreak of Coronavirus in Iran Compared to Countries with the Highest Incidence. Frontiers in
Health Informatics. 2020 Aug 3;9(1):38.
|Issue||Vol 6 No 3 (2020)|
|Corona China Iran Italy South Korea Epidemiology Outbreak|
|Rights and permissions|
|This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.|