Skip to content

Search

Geospatial and Tuberculosis (GeoTB)

The Geospatial and Tuberculosis (GeoTB) team led by Kefyalew Alene focuses on designing an innovative approach for improving the efficiency and effectiveness of public health interventions to help control and ultimately eliminate tuberculosis in high-burden countries.

Fine-scale spatial mapping of urban malaria prevalence for microstratification in an urban area of Ghana

Malaria is a focal disease and more localized in low endemic areas. The disease is increasingly becoming a concern in urban areas in most sub-Saharan African countries. The growing threats of Anopheles stephensi and insecticide resistance magnify this concern and hamper elimination efforts. It is, therefore, imperative to identify areas, within urban settings, of high-risk of malaria to help better target interventions.

Clostridioides (Clostridium) difficile in children and adolescents in the community in Cambodia

Clostridioides (Clostridium) difficile transmission between community and healthcare settings has been increasingly reported. We aimed to identify the prevalence and molecular epidemiology of C. difficile colonising adolescents and non-hospitalised children in Cambodia.

Prioritizing high-risk populations for soil-transmitted helminth control in the Western Pacific Region

To achieve targets set within the 2030 Sustainable Development Agenda and the 2021–2030 Neglected Tropical Diseases (NTD) Roadmap, the World Health Organization identify the need for improved data analytics to inform NTD control programs. 

Ending tuberculosis: challenges and opportunities

Despite impacting mankind since ancient times, tuberculosis (TB) persists as the leading cause of death from an infectious disease. TB can remain latent and further research is required to understand activation risk and the risks vs. the benefits of treating latent infection. Drug resistance poses an escalating threat to treating active disease and achieving cure.

Mapping Drug-Resistant Tuberculosis Treatment Outcomes in Hunan Province, China

Drug-resistant tuberculosis (DR-TB) remains a major public health challenge in China, with varying treatment outcomes across different regions. Understanding the spatial distribution of DR-TB treatment outcomes is crucial for targeted interventions to improve treatment success in high-burden areas such as Hunan Province. This study aimed to map the spatial distribution of DR-TB treatment outcomes at a local level and identify sociodemographic and environmental factors associated with poor treatment outcomes in Hunan Province, China.

Mapping fertility rates at national, sub-national, and local levels in Ethiopia between 2000 and 2019

Fertility rates are key indicators of population health and demographic change, influencing economic development, healthcare planning, and social policies. Understanding subnational variation in fertility rate is important for effective geographical targeting and policy prioritization. This study aimed to identify geographic variation, trends, and determinants of fertility rates in Ethiopia over the past two decades.  

Risk factors associated with post-tuberculosis sequelae: a systematic review and meta-analysis

Post-tuberculosis (TB) sequelae present a significant challenge in the management of TB survivors, often leading to persistent health issues even after successful treatment. Identifying risk factors associated with post-TB sequelae is important for improving outcomes and quality of life of TB survivors. This systematic review and meta-analysis aims to identify risk factors associated with long-term physical sequelae among TB survivors.

Spatial co-distribution of tuberculosis prevalence and low BCG vaccination coverage in Ethiopia

While bacille-calmette-guerin (BCG) vaccination is one of the recommended strategies for preventing tuberculosis, its coverage is low in several countries, including Ethiopia. This study investigated the spatial co-distribution and drivers of TB prevalence and low BCG coverage in Ethiopia.

Impact of integrating traditional care with the modern healthcare system in reducing tuberculosis diagnosis delays in Ethiopia: a clustered randomized controlled study

Diagnosis and treatment initiation delays for tuberculosis (TB) are significant challenges in resource-limited settings. These delays can result in poor treatment outcomes, disease transmission, and increased costs. This study aimed to assess the effect of integrating traditional care with modern healthcare systems on reducing TB diagnosis delay.