Clustering method for spread pattern analysis of corona-virus (COVID-19) infection in Iran
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The COVID-19 is outbreak from China and infected more than 131,652 people and caused 7,300 deaths in Iran. Unfortunately, the infection numbers and deaths are still increasing rapidly which has put the world on the catastrophic abyss edge. Application of data mining to perform pattern recognition of infection is mainly used for preparing the spread mapping which considered in this work for spatiotemporal distribution assessment and spread pattern analysis of corona-virus (COVID-19) infection in Iran
Rodriguez-Morales AJ, MacGregor K, Kanagarajah S, Patel D, Schlagenhauf P. Going global - travel and the 2019 novel coronavirus. Trav Med Infect Dis. 33 (2020) 101578.
Azarafza, M., Azarafza, M., & Tanha, J. COVID-19 Infection Forecasting based on Deep Learning in Iran. medRxiv. (2020)
Atkeson, A. What will be the economic impact of COVID-19 in the US? Rough estimates of disease scenarios (No. w26867). National Bureau of Economic Research. (2020).
Iran Ministry of Health and Medical Education. Report of COVID-19 pandemic in Iran. Available from: http://dme.behdasht.gov.ir/ (2020)
IRNA, Islamic Republic News Agency. Report of COVID-19 pandemic in Iran. Available from: http://www.irna.ir (2020)
ISNA, Iranian Students News Agency. Rreport of COVID-19 pandemic in Iran. Available from: http://www.isna.ir (2020)
Arab-Mazar, Z., Sah, R., Rabaan, A. A., Dhama, K., & Rodriguez-Morales, A. J. Mapping the incidence of the COVID-19 hotspot in Iran–Implications for Travellers. Travel Medicine and Infectious Disease. (2020).
Aggarwal CC, Reddy CK. Data Clustering: Algorithms and Applications. Chapman and Hall, 2013.
Law M, Collins A. Getting to Know ArcGIS. Esri Press, 2016.
Copyright (c) 2021 Mehdi Azarafza, Mohammad Azarafza, Haluk Akgün (Author)
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