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Mesay Hailu Dangisso

Researcher at Hawassa University

Publications -  21
Citations -  435

Mesay Hailu Dangisso is an academic researcher from Hawassa University. The author has contributed to research in topics: Medicine & Tuberculosis. The author has an hindex of 7, co-authored 15 publications receiving 322 citations. Previous affiliations of Mesay Hailu Dangisso include University of Bergen.

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Journal ArticleDOI

Innovative Community-Based Approaches Doubled Tuberculosis Case Notification and Improve Treatment Outcome in Southern Ethiopia

TL;DR: Community-based interventions made TB diagnostic and treatment services more accessible to the poor, women, elderly and children, doubling the notification rate and improving treatment outcome and this approach could improve TB diagnosis and treatment in other high burden settings.
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Trends of Tuberculosis Case Notification and Treatment Outcomes in the Sidama Zone, Southern Ethiopia: Ten-Year Retrospective Trend Analysis in Urban- Rural Settings

TL;DR: Over the past decade TB CNRs and treatment outcomes improved, whereas the disparities of disease burden by gender and place of residence reduced and mortality declined.
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Accessibility to tuberculosis control services and tuberculosis programme performance in southern Ethiopia

TL;DR: Accessibility to TB control services improved despite the geographic variations and TB CNRs were higher in areas where people had better access to diagnostic and treatment centres, whereas a higher population density was associated with increased TB C NRs.
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Spatio-Temporal Analysis of Smear-Positive Tuberculosis in the Sidama Zone, Southern Ethiopia

TL;DR: The study found variations in CNRs and significant spatio-temporal clusters of smear-positive PTB in the Sidama Zone in southern Ethiopia and can be used to guide TB control programs to devise effective TB control strategies for the geographic areas characterized by the highest C NRs.
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Low case notification rates of childhood tuberculosis in southern Ethiopia

TL;DR: In this article, the authors used logistic regression analysis to identify factors associated with treatment outcomes and to control for confounding in children less than 15 years of age, where the proportion of children who died during treatment was three times higher than children in the 2-year and above age groups.