Identification of risk factors contributing to COVID-19 incidence rates in Bangladesh: A GIS-based spatial modeling approach

Identification of risk factors contributing to COVID-19 incidence rates in Bangladesh: A GIS-based spatial modeling approach

Background: COVID-19 pandemic outbreak is an unprecedented shock throughout the world, which has generated a massive social, human, and economic crisis. Identification of risk factors is crucial to prevent the COVID-19 spread by taking appropriate countermeasures effectively. Therefore, this study a...

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Bibliographic Details
Main Authors: Md. Hamidur Rahman, Niaz Mahmud Zafri, Fajle Rabbi Ashik, Md Waliullah, Asif Khan
Format: Article
Language:English
Published: Elsevier 2021-02-01
Series:Heliyon
Subjects:
Pandemic
Spatial variation
Spatial regression model (SRM)
Geographically weighted regression (GWR)
Demography
Built environment
Online Access:http://www.sciencedirect.com/science/article/pii/S2405844021003650

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http://www.sciencedirect.com/science/article/pii/S2405844021003650

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