Alvin F. Terry
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Research Interests
Alvin F. Terry has a total of 8 co-authors. Here are the top co-authors by number of shared publications:
- Nuriye Sancar
Computer Information Systems Research and Technology Centre, Near East University, 99138 Nicosia, Turkey
2 shared publications - Chris Onyeka Ihedirionye
Near East University
1 shared publication - Fulbert Milrich Kiminou Nsimba
Near East University
1 shared publication - Ilker Etikan
Department of Biostatistics, Faculty of Medicine, Near East University, Near East Avenue, North Cyprus, 99138 Mersin 10, Turkey
1 shared publication İlKer Etikan
Head and Prof: Biostatistics Department, Near East University Faculty of Medicine/ Near East Avenue, Postcode: 99138, Nicosia, North Cyprus, Mersin 10, Turkey
1 shared publicationİlker Etikan
1 shared publication
Latest Publications
- 1 October 2025
- Published by Springer Nature
- p. 37-45
Big Data Analytics in Healthcare: Challenges and Advancements
- 1 October 2025
- Published by Springer Nature
- p. 37-45
Big Data Analytics in Healthcare: Challenges and Advancements
- Open Access
- 27 June 2025
- Published by MDPI AG in Healthcare
- Vol. 13 (13) , 1534
Evaluating the Knowledge, Attitude, and Practice of Tuberculosis Among Health Sciences Students
Background: Liberia is among the 30 countries with a high burden of tuberculosis worldwide. Health sciences students, who are future health professionals, have essential roles in curtailing the spread of TB. This study aims to evaluate the knowledge, attitude, and practice (KAP) of tuberculosis (TB) among health sciences students. Methods: This study used a quantitative cross-sectional design to assess Medical, Pharmacy, and Public Health students at the University of Liberia’s KAP regarding TB using a modified previously used self-administered questionnaire reviewed by subject experts from 1 April 2025 to 23 April 2025. SPSS 26 was used for analysis. Descriptive statistics, Mann–Whitney, Kruskal–Wallis, and multivariate logistic regression tests were used for analysis. Results: In total, 630 students participated, of which 51.7% were females, 83% were aged 24 or above, 81.6% were single, and 96.7% had never smoked. The KAP levels were 65.9%, 97.3%, and 94.8%, respectively. Higher TB knowledge was significantly associated with being enrolled in the Medical program (OR = 2.20, 95% CI: 1.28–3.76, p < 0.05), being in year 4 and 5 (OR = 1.79, 95% CI: 1.09–2.98, p < 0.05; OR = 2.28, 95% CI: 1.08–4.78, p < 0.05), being unemployed (OR = 1.58, 95% CI: 1.09–2.31, p < 0.05), and having personal acquaintance with individuals diagnosed with TB (OR = 1.64, 95% CI: 1.11–2.42, p < 0.05). Conclusions: The knowledge level among students was good. They had a positive attitude, and their practice levels were good. However, gaps remain in understanding latent TB and proper disinfection methods for TB-related materials. Strengthening the health curriculum to address these specific knowledge gaps is recommended to better align students’ knowledge with their attitudes and practices.
- 27 June 2025
- Published by MDPI AG in Healthcare
- Vol. 13 (13) , 1534
Open AccessEvaluating the Knowledge, Attitude, and Practice of Tuberculosis Among Health Sciences Students
Background: Liberia is among the 30 countries with a high burden of tuberculosis worldwide. Health sciences students, who are future health professionals, have essential roles in curtailing the spread of TB. This study aims to evaluate the knowledge, attitude, and practice (KAP) of tuberculosis (TB) among health sciences students. Methods: This study used a quantitative cross-sectional design to assess Medical, Pharmacy, and Public Health students at the University of Liberia’s KAP regarding TB using a modified previously used self-administered questionnaire reviewed by subject experts from 1 April 2025 to 23 April 2025. SPSS 26 was used for analysis. Descriptive statistics, Mann–Whitney, Kruskal–Wallis, and multivariate logistic regression tests were used for analysis. Results: In total, 630 students participated, of which 51.7% were females, 83% were aged 24 or above, 81.6% were single, and 96.7% had never smoked. The KAP levels were 65.9%, 97.3%, and 94.8%, respectively. Higher TB knowledge was significantly associated with being enrolled in the Medical program (OR = 2.20, 95% CI: 1.28–3.76, p < 0.05), being in year 4 and 5 (OR = 1.79, 95% CI: 1.09–2.98, p < 0.05; OR = 2.28, 95% CI: 1.08–4.78, p < 0.05), being unemployed (OR = 1.58, 95% CI: 1.09–2.31, p < 0.05), and having personal acquaintance with individuals diagnosed with TB (OR = 1.64, 95% CI: 1.11–2.42, p < 0.05). Conclusions: The knowledge level among students was good. They had a positive attitude, and their practice levels were good. However, gaps remain in understanding latent TB and proper disinfection methods for TB-related materials. Strengthening the health curriculum to address these specific knowledge gaps is recommended to better align students’ knowledge with their attitudes and practices.
- 27 August 2024
- Published by Galenos Yayinevi in Cyprus Journal of Medical Sciences
- Vol. 9 (5) , 346-354
A Different Perspective for Determining the Optimal Treatment Modality in the Treatment of GERD: An Application of the Fuzzy TOPSIS Method
A Different Perspective for Determining the Optimal Treatment Modality in the Treatment of GERD: An Application of the Fuzzy TOPSIS Method - Cyprus Journal of Medical Sciences
- 27 August 2024
- Published by Galenos Yayinevi in Cyprus Journal of Medical Sciences
- Vol. 9 (5) , 346-354
A Different Perspective for Determining the Optimal Treatment Modality in the Treatment of GERD: An Application of the Fuzzy TOPSIS Method
A Different Perspective for Determining the Optimal Treatment Modality in the Treatment of GERD: An Application of the Fuzzy TOPSIS Method - Cyprus Journal of Medical Sciences
- 20 June 2023
- Published by Medical Research and Statistical Consultancy Training Centre in Pioneer Journal of Biostatistics and Medical Research
- Vol. 1 (2)
Comparison of canonical correlation and discriminant analysis
Learning from data is at the heart of the statistical discipline known as statistics. Understanding statistics, you will be able to use the right techniques to obtain the data, carry out the relevant analysis, and present the results in an effective way if you have a working knowledge of statistics. The process of creating scientific discoveries, as well as decisions and projections that are founded on data, involves the use of statistics, which is a key element in the process.
- 20 June 2023
- Published by Medical Research and Statistical Consultancy Training Centre in Pioneer Journal of Biostatistics and Medical Research
- Vol. 1 (2)
Comparison of canonical correlation and discriminant analysis
Learning from data is at the heart of the statistical discipline known as statistics. Understanding statistics, you will be able to use the right techniques to obtain the data, carry out the relevant analysis, and present the results in an effective way if you have a working knowledge of statistics. The process of creating scientific discoveries, as well as decisions and projections that are founded on data, involves the use of statistics, which is a key element in the process.