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Analysis of COVID-19 Outbreak in Iran by a Suite of Artificial Adaptive System Algorithms | ||
| Computational Sciences and Engineering | ||
| دوره 2، شماره 2، آذر 2022، صفحه 165-179 اصل مقاله (1.41 M) | ||
| نوع مقاله: Original Article | ||
| شناسه دیجیتال (DOI): 10.22124/cse.2021.19484.1012 | ||
| نویسندگان | ||
| Masoud Asadi-Zeydabadi1؛ Massimo Buscema2؛ Mozhdeh Saffari-Parizi3؛ Giulia Massini4؛ Mostafa Moradi-Khalaj5؛ Weldon Lodwick* 2 | ||
| 1Department of Physics, University of Colorado Denver, Denver, CO 80217, USA | ||
| 2Department of Mathematical and Statistical Science, CCMB, University of Colorado Denver, Denver, CO 80217, USA | ||
| 3Auraria Library, University of Colorado Denver, Denver, CO 80217, USA | ||
| 4Semeion, Research Centre of Sciences of communication, via Sersale 117, 00128 Rome, Italy | ||
| 5Department of Civil and Environmental Engineering, 7134851156, Shiraz University, Shiraz, Iran | ||
| چکیده | ||
| COVID-19 outbreak in Iran is studied and analyzed using Topological Weighted Centroid (TWC) algorithms. According to this algorithm the origin of the outbreak is mainly in the city of Qom. In addition, it predicts the centers of the epidemic spread in the future as well as pathways of this spread. | ||
| کلیدواژه‌ها | ||
| COVID-19 virus؛ The TWC algorithms؛ The modified TWC algorithms | ||
| مراجع | ||
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[1] https://www.who.int/emergencies/diseases/novel-coronavirus-2019/events-as-they-happen [2] https://www.who.int/csr/don/14-january-2020-novel-coronavirus-thailand/en/ [3] https://www.who.int/csr/don/16-january-2020-novel-coronavirus-japan-ex-china/en/ [4] https://www.who.int/csr/don/17-january-2020-novel-coronavirus-japan-ex-china/en/ [5] https://www.who.int/csr/don/21-january-2020-novel-coronavirus-republic-of-korea-ex-china/en/ [6] http://www.isna.ir/news/98113022537/ [7] http://www.isna.ir/news/98113022952/ [8] https://www.isna.ir/news/99010602656/ [9] http://www.isna.ir/news/98121310808/ [10] https://www.bbc.com/persian/iran-51720984 [11] https://coronavirus.jhu.edu/map.html [12]https://github.com/CSSEGISandData/COVID-19/blob/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_confirmed_global.csv [13]https://github.com/CSSEGISandData/COVID-19/blob/master/csse_covid_19_data/csse_covid_19_time_series/time_series_covid19_deaths_global.csv [14] Buscema M., Massini G. and Sacco P. The Topological Weighted Centroid (TWC): A topological approach to the time-space structure of epidemic and pseudo-epidemic processes, Physica A, (2017) [15] Buscema, M., Breda, M., Catzola, G. The topological weighted centroid, and the semantic of the physical space – theory in Artificial Adaptive Systems in Medicine, (eds Buscema, M., & Grossi, E.) 69-78 (Bentham, 2009). [16] Grossi, E., Buscema, M. & Jefferson, T. The topological weighted centroid, and the semantic of the physical space – application, in Artificial Adaptive Systems in Medicine, (eds Buscema, M., & Grossi, E.) 79-89 (Bentham, 2009). [17] Buscema, M., Grossi, E., Bronstein, A., Lodwick, W., Asadi-Zeydabadi, M., Benzi, R. & Newman, F. A new algorithm for identifying possible epidemic sources with application to the German Escherichia Coli outbreak, ISPRS Int. J. Geo- Inf., 2, 155-200, (2013); DOI:10.3390/ijgi2010155 [18] Massimo Buscema, Masoud Asadi-Zeydabadi, Weldon Lodwick, Alphonse Nde Nembot, Alvin Bronstein and Francis Newman Ebola paper, Analysis of the Ebola Outbreak in 2014 and 2018 in West Africa and Congo by Using Artificial Adaptive System, Applied Artificial Indigence, 2020 | ||
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