Publication: Unraveling The Spatial Patterns Of Covid-19 Pandemic In The Mena Region: A Geospatial Modeling Analysis Of Sociodemographic Determinants
| dc.contributor.author | Abdulsalam Ba, Shebani Aboalyem Mustafa | |
| dc.date.accessioned | 2026-04-22T06:46:34Z | |
| dc.date.available | 2026-04-22T06:46:34Z | |
| dc.date.issued | 2025-02 | |
| dc.description.abstract | According to the world health organization (who), covid-19 has caused more than 7 million deaths, while over 750 million people are infected. The covid-19 pandemic has significantly impacted the middle east and north africa (mena) region, with over twenty-eight million cases and 800,000 deaths reported as of august 2023. Spatial analysis is increasingly being utilized to analyse the impact of covid-19, offering critical insights into disease transmission and guiding responses at the regional level. Sociodemographic and healthcare factors such as age structure, population density, unemployment index, gdp per capita, hospital beds, and nurse practitioners are pivotal in explaining and predicting the spatial transmission of covid-19. This thesis aims to develop a novel approach to reveal the main determinants of the covid-19 outbreak in mena countries. Utilizing data from twenty-four countries from the onset of the pandemic until december 31, 2022, it examines patterns of covid-19 dynamics and spatial dependencies. The study applies the first-order queen matrix for local indicators of spatial association (lisa) and regression to investigate spatial effects in the data. | |
| dc.identifier.uri | https://erepo.usm.my/handle/123456789/23975 | |
| dc.subject | COVID-19 – Spatial analysis | |
| dc.title | Unraveling The Spatial Patterns Of Covid-19 Pandemic In The Mena Region: A Geospatial Modeling Analysis Of Sociodemographic Determinants | |
| dc.type | Resource Types::text::thesis::doctoral thesis | |
| dspace.entity.type | Publication | |
| oairecerif.author.affiliation | Universiti Sains Malaysia |