Bethlehem Adnew
Biographic Data
| ID | 10026261 |
|---|---|
| NAME | Bethlehem Adnew |
| GIVEN NAMES | Bethlehem |
| FAMILY NAME | Adnew |
| SIGNATURE | ADNEW B |
| AFFILIATIONS | Armauer Hansen Research Institute |
| ORCID | 0000-0002-6108-9534 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Data science without borders
Background: Effective public health data science in Africa requires a comprehensive understanding of institutional capabilities across multiple dimensions. This study conducted a multidimensional assessment of three African health institutions to examine the availability of health data, healthcare training, data governance needs, and infrastructure capabilities, to inform the use of data science tools to address health challenges. Methods: The st…
Genotypes and drug resistance pattern of Mycobacterium tuberculosis complex among clinically diagnosed pulmonary tuberculosis patients
Background Clinically diagnosed pulmonary tuberculosis (TB) (CDPTB) patients account for a huge proportion of TB. However, little is known about the genetic diversity and drug resistance profile of Mycobacterium tuberculosis Complex (MTBC) strains in this group of patients. Method Unmatched case–control study was conducted among 313 PTB patients to compare the genetic diversity of MTBC and their drug resistance profiles among CDPTB ( n = 173) and…
No prominent works on this page.
Genotypes and drug resistance pattern of Mycobacterium tuberculosis complex among clinically diagnosed pulmonary tuberculosis patients
Background Clinically diagnosed pulmonary tuberculosis (TB) (CDPTB) patients account for a huge proportion of TB. However, little is known about the genetic diversity and drug resistance profile of Mycobacterium tuberculosis Complex (MTBC) strains in this group of patients. Method Unmatched case–control study was conducted among 313 PTB patients to compare the genetic diversity of MTBC and their drug resistance profiles among CDPTB ( n = 173) and…
Data science without borders
Background: Effective public health data science in Africa requires a comprehensive understanding of institutional capabilities across multiple dimensions. This study conducted a multidimensional assessment of three African health institutions to examine the availability of health data, healthcare training, data governance needs, and infrastructure capabilities, to inform the use of data science tools to address health challenges. Methods: The st…
Artificial Intelligence in Healthcare and Education (1 work) · Biology (1 work) · Capacity building (1 work) · Citizen science (1 work) · Corporate governance (1 work) · Data access (1 work) · Data governance (1 work) · Diagnosis and treatment of tuberculosis (1 work) · Drug (1 work) · Drug resistance (1 work)