A Spatial Econometric Analysis on the Impact of COVID-19 on Mortality Outcome
The study develops and examines the spatial distribution of the Corona Virus Disease (COVID) on mortality outcomes using a global panel dataset of 79 countries. The empirical evidence is based on Fixed Effect (FE) and System Generalized Method of Moment (SGMM) estimator. The predicted variable is pr...
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| Format: | Article |
| Language: | English |
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Riga Technical University Press
2020-02-01
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| Series: | Economics and Business |
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| Online Access: | https://doi.org/10.2478/eb-2020-0013 |
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| author | Shobande Olatunji Ogbeifun Lawrence |
| author_facet | Shobande Olatunji Ogbeifun Lawrence |
| author_sort | Shobande Olatunji |
| collection | DOAJ |
| description | The study develops and examines the spatial distribution of the Corona Virus Disease (COVID) on mortality outcomes using a global panel dataset of 79 countries. The empirical evidence is based on Fixed Effect (FE) and System Generalized Method of Moment (SGMM) estimator. The predicted variable is proxy with daily mortality outcomes, while the predictor variable is proxy with spatial COVID spread while controlling for social tension and average temperature. The global and regional findings of the study established that spatial variation in COVID spread had positive and significant relationships with mortality outcomes. Further results also indicate that social tension is a contributing factor to the rising daily mortality outcome from the COVD outbreak, whereas temperature variation reduces mortality outcome. Thus, the study recommends the use of statistical modelling to predict and manage the epidemic. Also, there is an urgent demand to deploy essential social need to the vulnerable proportion of the population to reduce the level of social unrest, while strengthening collaborative research among scientists to develop, produce and distribute vaccines that will put an end to the pandemic. |
| format | Article |
| id | doaj-art-30163e8fe37b4429a10fdf759bf8712b |
| institution | Kabale University |
| issn | 1407-7337 2256-0394 |
| language | English |
| publishDate | 2020-02-01 |
| publisher | Riga Technical University Press |
| record_format | Article |
| series | Economics and Business |
| spelling | doaj-art-30163e8fe37b4429a10fdf759bf8712b2024-12-02T08:29:31ZengRiga Technical University PressEconomics and Business1407-73372256-03942020-02-0134117920010.2478/eb-2020-0013eb-2020-0013A Spatial Econometric Analysis on the Impact of COVID-19 on Mortality OutcomeShobande Olatunji0Ogbeifun Lawrence1University of Aberdeen, Aberdeen, UKUniversity of Mississippi, Oxford, USAThe study develops and examines the spatial distribution of the Corona Virus Disease (COVID) on mortality outcomes using a global panel dataset of 79 countries. The empirical evidence is based on Fixed Effect (FE) and System Generalized Method of Moment (SGMM) estimator. The predicted variable is proxy with daily mortality outcomes, while the predictor variable is proxy with spatial COVID spread while controlling for social tension and average temperature. The global and regional findings of the study established that spatial variation in COVID spread had positive and significant relationships with mortality outcomes. Further results also indicate that social tension is a contributing factor to the rising daily mortality outcome from the COVD outbreak, whereas temperature variation reduces mortality outcome. Thus, the study recommends the use of statistical modelling to predict and manage the epidemic. Also, there is an urgent demand to deploy essential social need to the vulnerable proportion of the population to reduce the level of social unrest, while strengthening collaborative research among scientists to develop, produce and distribute vaccines that will put an end to the pandemic.https://doi.org/10.2478/eb-2020-0013covid19confirmed casesmortalitysystem gmmi12i14i31 |
| spellingShingle | Shobande Olatunji Ogbeifun Lawrence A Spatial Econometric Analysis on the Impact of COVID-19 on Mortality Outcome Economics and Business covid19 confirmed cases mortality system gmm i12 i14 i31 |
| title | A Spatial Econometric Analysis on the Impact of COVID-19 on Mortality Outcome |
| title_full | A Spatial Econometric Analysis on the Impact of COVID-19 on Mortality Outcome |
| title_fullStr | A Spatial Econometric Analysis on the Impact of COVID-19 on Mortality Outcome |
| title_full_unstemmed | A Spatial Econometric Analysis on the Impact of COVID-19 on Mortality Outcome |
| title_short | A Spatial Econometric Analysis on the Impact of COVID-19 on Mortality Outcome |
| title_sort | spatial econometric analysis on the impact of covid 19 on mortality outcome |
| topic | covid19 confirmed cases mortality system gmm i12 i14 i31 |
| url | https://doi.org/10.2478/eb-2020-0013 |
| work_keys_str_mv | AT shobandeolatunji aspatialeconometricanalysisontheimpactofcovid19onmortalityoutcome AT ogbeifunlawrence aspatialeconometricanalysisontheimpactofcovid19onmortalityoutcome AT shobandeolatunji spatialeconometricanalysisontheimpactofcovid19onmortalityoutcome AT ogbeifunlawrence spatialeconometricanalysisontheimpactofcovid19onmortalityoutcome |