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.
