Mohammed Al‐Alawi
Biographic Data
| ID | 6814815 |
|---|---|
| NAME | Mohammed Al‐Alawi |
| GIVEN NAMES | Mohammed |
| FAMILY NAME | Al‐Alawi |
| SIGNATURE | AL ALAWI M |
| AFFILIATIONS | Sultan Qaboos University |
| ORCID | 0000-0001-6388-5377 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Predicting depression severity among people living with HIV in Oman using random forest
Depression is the most common psychiatric comorbidity among people living with HIV and is associated with an increased risk of disease progression. However, existing screening tools generally do not account for sociodemographic and psychosocial factors. Machine learning models offer a promising approach by capturing complex interactions in variables that traditional methods overlook. This cross-sectional, multicentre study included people living …
Omani University Students’ Attitudes Towards Collaborative Writing
This paper examined the students’ attitudes, based on their cultural background, towards collaborative writing (CW). The participants included 215 undergraduate students from a large public university in the Sultanate of Oman and the instrument used was a questionnaire designed for the study. The results show that students’ general attitudes towards CW are largely neutral to slightly positive on some of the scales. Students acknowledged that CW i…
Psychological impact of Covid-19 on university students in Oman
Purpose This cross-sectional online survey in Oman in April 2021 aimed to assess university students' resilience, stress levels and meaning during the COVID-19 pandemic and identify characteristic profiles. Design/methodology/approach A cross-sectional survey design was used to collect data from full-time students at one University in Oman. Outcomes included sociodemographic information, the brief resilience scale, the perceived stress scale-4 an…
Public perception of mental illness in Oman
Studies worldwide have shown that people with mental illnesses (PWMI) tend to be stigmatized and thus suffer social exclusion. The authors investigated the attitudes of Omani people toward PWMI, and classified their responses on the basis of socio-demographic variables (age, gender, place of residence, place and type of employment, and previous exposure to PWMI) that were expected to correlate with their perceptions and attitudes towards PWMI. Th…
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Public perception of mental illness in Oman
Studies worldwide have shown that people with mental illnesses (PWMI) tend to be stigmatized and thus suffer social exclusion. The authors investigated the attitudes of Omani people toward PWMI, and classified their responses on the basis of socio-demographic variables (age, gender, place of residence, place and type of employment, and previous exposure to PWMI) that were expected to correlate with their perceptions and attitudes towards PWMI. Th…
Psychological impact of Covid-19 on university students in Oman
Purpose This cross-sectional online survey in Oman in April 2021 aimed to assess university students' resilience, stress levels and meaning during the COVID-19 pandemic and identify characteristic profiles. Design/methodology/approach A cross-sectional survey design was used to collect data from full-time students at one University in Oman. Outcomes included sociodemographic information, the brief resilience scale, the perceived stress scale-4 an…
Omani University Students’ Attitudes Towards Collaborative Writing
This paper examined the students’ attitudes, based on their cultural background, towards collaborative writing (CW). The participants included 215 undergraduate students from a large public university in the Sultanate of Oman and the instrument used was a questionnaire designed for the study. The results show that students’ general attitudes towards CW are largely neutral to slightly positive on some of the scales. Students acknowledged that CW i…
Predicting depression severity among people living with HIV in Oman using random forest
Depression is the most common psychiatric comorbidity among people living with HIV and is associated with an increased risk of disease progression. However, existing screening tools generally do not account for sociodemographic and psychosocial factors. Machine learning models offer a promising approach by capturing complex interactions in variables that traditional methods overlook. This cross-sectional, multicentre study included people living …
Medicine (3 works) · Psychology (3 works) · Cross-sectional study (2 works) · Mental health (2 works) · Psychiatry (2 works) · Social Psychology (2 works) · Artificial Intelligence in Healthcare (1 works) · Clinical Psychology (1 works) · COVID-19 and Mental Health (1 works) · Demography (1 works)