Letisha Najjemba
Biographic Data
| ID | 7968430 |
|---|---|
| NAME | Letisha Najjemba |
| GIVEN NAMES | Letisha |
| FAMILY NAME | Najjemba |
| SIGNATURE | NAJJEMBA L |
| AFFILIATIONS | Infectious Diseases Institute |
| ORCID | 0000-0002-2264-8292 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2026 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
Combination interventions to control the tuberculosis epidemic in the Karamoja subregion of Uganda
The Karamoja subregion in northeastern Uganda is disproportionately affected by tuberculosis (TB), with an estimated TB prevalence >3 times the national average. Recently introduced health systems strengthening (HSS) interventions, including active symptom screening campaigns covering approximately 20% of the population annually, have substantially increased the number of people initiated on TB treatment, improved TB treatment completion and incr…
Migrating longitudinal African mental health data from staging to the Omop common data model within the INSPIRE network datahub
This framework demonstrates scalable harmonisation and integration of African mental health data, bridging the gap between local datasets with global standards. This then enables the performance of federated analysis and reproducible research, increasing the utility and impact of mental health data in informing evidence-based policies and future collaborative studies across Africa
No prominent works on this page.
Combination interventions to control the tuberculosis epidemic in the Karamoja subregion of Uganda
The Karamoja subregion in northeastern Uganda is disproportionately affected by tuberculosis (TB), with an estimated TB prevalence >3 times the national average. Recently introduced health systems strengthening (HSS) interventions, including active symptom screening campaigns covering approximately 20% of the population annually, have substantially increased the number of people initiated on TB treatment, improved TB treatment completion and incr…
Migrating longitudinal African mental health data from staging to the Omop common data model within the INSPIRE network datahub
This framework demonstrates scalable harmonisation and integration of African mental health data, bridging the gap between local datasets with global standards. This then enables the performance of federated analysis and reproducible research, increasing the utility and impact of mental health data in informing evidence-based policies and future collaborative studies across Africa
Bridging (networking (1 work) · Cohort (1 work) · Data integration (1 work) · Data quality (1 work) · Data sharing (1 work) · Data-Driven Disease Surveillance (1 work) · Digital Mental Health Interventions (1 work) · Disease (1 work) · Epidemiology (1 work) · Epidemiology (1 work)