COVID-19 Risk Factors, Economic Factors, and Epidemiological Factors nexus on Economic Impact: Machine Learning and Structural Equation Modelling Approaches

نویسندگان

چکیده

Since the declaration of COVID-19 as a global pandemic, it has been transmitted to more than 200 nations world. The harmful impact pandemic on economy is far greater anything suffered in almost century. main objective this paper apply Structural Equation Modeling (SEM) and Machine Learning (ML) determine relationships among risk factors, epidemiology factors economic factors. equation modeling statistical technique for calculating evaluating manifest latent variables. It explores causal relationship between variables at same time taking measurement error into account. Bagging (BAG), Boosting (BST), Support Vector (SVM), Decision Tree (DT) Random Forest (RF) techniques was applied predict Data from patients who came contact with coronavirus disease were collected Kaggle database 23 January 2020 24 June 2020. Results indicate that have negative effects also

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ژورنال

عنوان ژورنال: Journal of Nigerian Society of Physical Sciences

سال: 2021

ISSN: ['2714-4704']

DOI: https://doi.org/10.46481/jnsps.2021.173