Mohammed Alahmadi
Biographic Data
| ID | 2064458 |
|---|---|
| NAME | Mohammed Alahmadi |
| GIVEN NAMES | Mohammed |
| FAMILY NAME | Alahmadi |
| SIGNATURE | ALAHMADI M |
| AFFILIATIONS | King Abdulaziz City for Science and Technology |
| ORCID | 0000-0003-4739-4855 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 2 |
| AUTHOR COUNT | 3 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2022 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 1 |
Geospatial modelling of post-cyclone Shaheen recovery using nighttime light data and MGWR
Spatial Assessment of Covid-19 First-Wave Mortality Risk in the Global South
The coronavirus disease (COVID-19) that appeared in 2019 gave rise to a major global health crisis that is still topping global health, socioeconomic, and intervention program agendas. Although the outbreak of COVID-19 has had substantial and devastating impacts on developed countries, the countries of the Global South share a higher proportion of the epidemic’s effects as shown particularly in morbidity and mortality rates in low-income countrie…
Spatial Associations between Covid-19 Incidence Rates and Work Sectors: Geospatial Modeling of Infection Patterns among Migrants in Oman
Migrants are among the groups most vulnerable to infection with viruses due to the social and economic conditions in which they live. Therefore, spatial modeling of virus transmission among migrants is important for controlling and containing the COVID-19 pandemic. This research focused on modeling spatial associations between COVID-19 incidence rates and migrant workers. The aim was to understand the spatial relationships between COVID-19 infect…
Spatial Associations between Covid-19 Incidence Rates and Work Sectors: Geospatial Modeling of Infection Patterns among Migrants in Oman
Migrants are among the groups most vulnerable to infection with viruses due to the social and economic conditions in which they live. Therefore, spatial modeling of virus transmission among migrants is important for controlling and containing the COVID-19 pandemic. This research focused on modeling spatial associations between COVID-19 incidence rates and migrant workers. The aim was to understand the spatial relationships between COVID-19 infect…
Spatial Assessment of Covid-19 First-Wave Mortality Risk in the Global South
The coronavirus disease (COVID-19) that appeared in 2019 gave rise to a major global health crisis that is still topping global health, socioeconomic, and intervention program agendas. Although the outbreak of COVID-19 has had substantial and devastating impacts on developed countries, the countries of the Global South share a higher proportion of the epidemic’s effects as shown particularly in morbidity and mortality rates in low-income countrie…
Spatial Associations between Covid-19 Incidence Rates and Work Sectors: Geospatial Modeling of Infection Patterns among Migrants in Oman
Migrants are among the groups most vulnerable to infection with viruses due to the social and economic conditions in which they live. Therefore, spatial modeling of virus transmission among migrants is important for controlling and containing the COVID-19 pandemic. This research focused on modeling spatial associations between COVID-19 incidence rates and migrant workers. The aim was to understand the spatial relationships between COVID-19 infect…
Geospatial modelling of post-cyclone Shaheen recovery using nighttime light data and MGWR
Geography (3 works) · Cartography (2 works) · COVID-19 epidemiological studies (2 works) · COVID-19 Pandemic Impacts (2 works) · Demography (2 works) · Environmental health (2 works) · Geospatial analysis (2 works) · Medicine (2 works) · Agriculture (1 works) · Case fatality rate (1 works)