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Effect of integrating traditional care with modern healthcare to improve tuberculosis control programs in Ethiopia: a protocol for a cluster-randomized controlled trialTuberculosis (TB) remains a major cause of morbidity and mortality in the world, despite being a preventable and curable disease. The World Health OrganizationEnd-TB Strategy, aligned with the Sustainable Development Goals, sets a target of reducing the TB mortality rate by 95%, TB incidence rate by 90%, and catastrophic costs due to TB by 2035, compared with a 2015 level. To achieve these ambitious targets, several interventions have been implemented in the last few years, resulting in major progress toward reducing the burden of TB.
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Comparative effectiveness of interventions for preventing tuberculosis: systematic review and network meta-analysis of interventional studiesTuberculosis (TB) is the leading infectious cause of death globally. Several preventive measures are employed to prevent TB, yet there is a paucity of evidence on the effectiveness of these interventions. Therefore, this study aimed to identify the most effective interventions for reducing TB incidence.
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Spatiotemporal Distribution of Tuberculosis in the Oromia Region of Ethiopia: A Hotspot AnalysisTuberculosis (TB) is a major public health concern in low- and middle-income countries including Ethiopia. This study aimed to assess the spatiotemporal distribution of TB and identify TB risk factors in Ethiopia's Oromia region.
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Economic burden of multidrug-resistant tuberculosis on patients and households: a global systematic review and meta-analysisMultidrug-resistant tuberculosis (MDR-TB) is a major health threat worldwide, causing a significant economic burden to patients and their families. Due to the longer duration of treatment and expensive second-line medicine, the economic burden of MDR-TB is assumed to be higher than drug-susceptible TB.
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Spatiotemporal patterns of influenza in Western AustraliaUnderstanding the geospatial distribution of influenza infection and the risk factors associated with infection clustering can inform targeted preventive interventions. We conducted a geospatial analysis to investigate the spatial patterns and identify drivers of medically attended influenza infection across all age groups in Western Australia.
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Severe adverse reactions to benzathine penicillin G in rheumatic heart disease: A systematic review and meta-analysisFear of severe adverse reaction (SAR) and reluctance of health care providers to administer intramuscular injections are major contributing factors to poor adherence of benzathine penicillin G (BPG) in the management of rheumatic heart disease (RHD). However, data on the risk of SARs following BPG injections for RHD are relatively limited and inconclusive. Our systematic review and meta-analysis aimed to evaluate the incidence of SARs associated with BPG injections used for secondary prophylaxis of RHD.
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.
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Mapping Bacillus Calmette-Guérin vaccination coverage in Africa from 1990 to 2022: a novel spatiotemporal modelling studyBacillus Calmette-Guérin (BCG) protects children from severe tuberculosis and remains the only licensed vaccine for tuberculosis. Subnational estimates of BCG coverage are essential for identifying underserved populations across Africa. This study aimed to map BCG vaccination coverage in Africa from 1990 to 2022.
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Corrigendum to “Developmental trajectories of socio-emotional outcomes of children and young people in out-of-home care – Insights from data of Pathways of Care Longitudinal Study (POCLS)”Yalemzewod Assefa Gelaw PhD, MPH, BSc Honorary Research Associate Yalemzewod.Gelaw@thekids.org.au Honorary Research Associate Dr Yalemzewod Gelaw
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Geospatial mapping of drug-resistant tuberculosis prevalence in Africa at national and sub-national levelso 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.