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Journal of Business Analytics Volume 3, 2020 - Issue 2
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Original Article

Estimation and demographic analysis of COVID-19 infections with respect to weather factors in Europe

Reza Gharoie AhangarDepartment of Information Technology and Decision Sciences, G. Brint Ryan College of Business, University of North Texas, 1155 Union Circle #305249, Denton, TX76201, USA
,
Robert PavurDepartment of Information Technology and Decision Sciences, G. Brint Ryan College of Business, University of North Texas, 1155 Union Circle #305249, Denton, TX76201, USA
,
Mahdi FathiDepartment of Information Technology and Decision Sciences, G. Brint Ryan College of Business, University of North Texas, 1155 Union Circle #305249, Denton, TX76201, USACorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0003-3476-4722
ORCID Icon &
Abdulazeez ShaikDepartment of Information Technology and Decision Sciences, G. Brint Ryan College of Business, University of North Texas, 1155 Union Circle #305249, Denton, TX76201, USA
Pages 93-106 | Received 19 Jul 2020, Accepted 30 Sep 2020, Published online: 01 Nov 2020

Citations (8)

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Milton Soto-Ferrari, Alejandro Carrasco-Pena & Diana Prieto. (2023) AGGFORCLUS: A hybrid methodology integrating forecasting with clustering to assess mitigation plans and contagion risk in pandemic outbreaks: the COVID-19 Case Study. Journal of Business Analytics 6:3, pages 217-242.
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Articles from other publishers (7)

Przemysław Śleszyński, Sławomir Kurek, Robert Krzysztofik & Jan W. Owsiński. (2023) Do variations in anomalous mortality in Europe in fall and winter of 2019–2020 tell us anything on the timing of SARS‐CoV‐2 outbreak?. Population, Space and Place.
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Reza Gharoie Ahangar & Victor R. Prybutok. (2023) Health-Economic Determinants of COVID-19 Pandemic and Countries’ Efficiency. European Medical Journal.
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Reza Gharoie Ahangar & Myungsup Kim. (2022) The Impact of COVID-19 Shocks on Business and GDP of Global Economy. American Business Review 25:2, pages 328-354.
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Gülşen Aydın Keskin, Şenay Çetin Doğruparmak & Kadriye Ergün. (2022) Estimation of COVID-19 patient numbers using artificial neural networks based on air pollutant concentration levels. Environmental Science and Pollution Research 29:45, pages 68269-68279.
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Reza Gharoie Ahangar. 2022. Using Information Technology Advancements to Adapt to Global Pandemics. Using Information Technology Advancements to Adapt to Global Pandemics 114 128 .
Mohamed F. Yassin & Hassan A. Aldashti. (2021) Stochastic analysis of the relationship between atmospheric variables and coronavirus disease (COVID‐19) in a hot, arid climate. Integrated Environmental Assessment and Management 18:2, pages 500-516.
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Jinhang Jiang & Karthik Srinivasan. (2021) Comparing Pregnancy and Childbirth-related Hospital Visits in Arizona Before and During COVID-19 Using Network Analysis. Journal of Digital Science 3:2, pages 19-36.
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