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Epidemiologic Dynamics, Integrated Bacteriological Profiles and Mortality Predictors of Neonatal Sepsis in Ethiopia: A Longitudinal Study

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dc.contributor.author Daniel geleta ayana
dc.contributor.author Getenet beyene
dc.contributor.author Gemeda abebe
dc.date.accessioned 2026-01-26T09:03:52Z
dc.date.available 2026-01-26T09:03:52Z
dc.date.issued 2024-12
dc.identifier.uri https://repository.ju.edu.et//handle/123456789/10116
dc.description.abstract Background: Globally, neonatal sepsis presents a significant health challenge, dominantly against marginalized populations worldwide. It has made the neonatal period the most perilous time for child survival, and it continues to cause preventable morbidity and mortality in neonates across all regions, including Africa. Poignantly, compared to developed and some developing countries, there were relatively few data on epidemiological dynamics of the condition and the ongoing crisis of spiraling antimicrobial resistance from bacterial isolates that compel regular surveillance to enhance data- driven decision-making. Likewise, there were also insufficient data on mortalities that stem from the interaction of several chains of variable effects and, in some cases, remain overlooked, needing comprehensive data profiling. Accordingly, we modeled epidemiological dynamics, integrated bacteriological profiles and predictors of mortality and quantitatively determined their etiologic fraction in neonates hospitalized for clinical sepsis in Ethiopia. en_US
dc.language.iso en en_US
dc.subject bacterial profile en_US
dc.subject COVID-19-impact en_US
dc.subject ESBL-encoding genes en_US
dc.subject etiologic fraction en_US
dc.subject monthly percentage change en_US
dc.subject molecular insights en_US
dc.subject variable interaction en_US
dc.subject WHONET en_US
dc.title Epidemiologic Dynamics, Integrated Bacteriological Profiles and Mortality Predictors of Neonatal Sepsis in Ethiopia: A Longitudinal Study en_US
dc.type Dissertation en_US


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