Determining the spatial effects of COVID-19 using the spatial panel data model
#MMPMID32292691
Guliyev H
Spat Stat
2020[Aug]; 38
(?): 100443
PMID32292691
show ga
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.