Ontology highlight
ABSTRACT: Background
Accurate mortality prediction was essential for guiding hospitalization and management during the COVID-19 pandemic, particularly in low-resource settings with already fragile health systems. In such regions, political instability and weakened healthcare infrastructure amplified viral spread while constraining response capacity. Hospitalization was, therefore, mostly restricted to the most critical cases due to shortages of beds, staff, and equipment, leaving frontline physicians to make rapid triage decisions under pressure. Yet, most existing prognostic tools were unsuitable for use in such resource-constrained contexts. To address this gap, we developed and validated a simplified, resource-directed score for predicting COVID-19 mortality.Methods
This nationwid
SUBMITTER: Hanafi I
PROVIDER: S-EPMC12584324 | biostudies-literature | 2025 Nov
REPOSITORIES: biostudies-literature