Determining the spatial effects of COVID-19 using the spatial panel data model

This study investigates the propagation power and effects of the coronavirus disease 2019 (COVID-19) in light of published data. We examine the factors affecting COVID-19 together with the spatial effects, and use spatial panel data models to determine the relationship among the variables including...

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Autor principal: Guliyev, Hasraddin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7139267/
https://www.ncbi.nlm.nih.gov/pubmed/32292691
http://dx.doi.org/10.1016/j.spasta.2020.100443
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author Guliyev, Hasraddin
author_facet Guliyev, Hasraddin
author_sort Guliyev, Hasraddin
collection PubMed
description This study investigates the propagation power and effects of the coronavirus disease 2019 (COVID-19) in light of published data. We examine the factors affecting COVID-19 together with the spatial effects, and use spatial panel data models to determine the relationship among the variables including their spatial effects. Using spatial panel models, we analyse the relationship between confirmed cases of COVID-19, deaths thereof, and recovered cases due to treatment. We accordingly determine and include the spatial effects in this examination after establishing the appropriate model for COVID-19. The most efficient and consistent model is interpreted with direct and indirect spatial effects.
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spelling pubmed-71392672020-04-08 Determining the spatial effects of COVID-19 using the spatial panel data model Guliyev, Hasraddin Spat Stat Article This study investigates the propagation power and effects of the coronavirus disease 2019 (COVID-19) in light of published data. We examine the factors affecting COVID-19 together with the spatial effects, and use spatial panel data models to determine the relationship among the variables including their spatial effects. Using spatial panel models, we analyse the relationship between confirmed cases of COVID-19, deaths thereof, and recovered cases due to treatment. We accordingly determine and include the spatial effects in this examination after establishing the appropriate model for COVID-19. The most efficient and consistent model is interpreted with direct and indirect spatial effects. Elsevier B.V. 2020-08 2020-04-07 /pmc/articles/PMC7139267/ /pubmed/32292691 http://dx.doi.org/10.1016/j.spasta.2020.100443 Text en © 2020 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Guliyev, Hasraddin
Determining the spatial effects of COVID-19 using the spatial panel data model
title Determining the spatial effects of COVID-19 using the spatial panel data model
title_full Determining the spatial effects of COVID-19 using the spatial panel data model
title_fullStr Determining the spatial effects of COVID-19 using the spatial panel data model
title_full_unstemmed Determining the spatial effects of COVID-19 using the spatial panel data model
title_short Determining the spatial effects of COVID-19 using the spatial panel data model
title_sort determining the spatial effects of covid-19 using the spatial panel data model
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7139267/
https://www.ncbi.nlm.nih.gov/pubmed/32292691
http://dx.doi.org/10.1016/j.spasta.2020.100443
work_keys_str_mv AT guliyevhasraddin determiningthespatialeffectsofcovid19usingthespatialpaneldatamodel

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