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Targeting interventions to improve influenza control: a proof of principle geomapping study

Christopher Kefyalew Hannah Blyth Alene Moore MBBS (Hons) DCH FRACP FRCPA PhD BSc, MPH, PhD OAM BSc (Hons) GradDipClinEpi PhD Centre Head, Wesfarmers

Spatial epidemiology of tuberculosis

Kefyalew Alene BSc, MPH, PhD Head, Geospatial and Tuberculosis 0404705064 Kefyalew.alene@thekids.org.au Honorary Research Fellow Dr Kefyalew Alene

Prevention better than cure in race to slash rates of TB

The first global review of the effectiveness of current strategies to fight tuberculosis has found preventive therapy is the most effective intervention strategy.  

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.

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.  

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. 

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.

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.

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.

Geospatial mapping of drug-resistant tuberculosis prevalence in Africa at national and sub-national levels

o map subnational and local prevalence of drug-resistant tuberculosis (DR-TB) across Africa. We assembled a geolocated dataset from 173 sources across 31 African countries, comprising drug susceptibility test results and covariate data from publicly available databases. We used Bayesian model-based geostatistical framework with multivariate Bayesian logistic regression model to estimate DR-TB prevalence at lower administrative levels.