foresight · 2021 · 47 citations · 46 references
ManagementHealth Care ManagementSupply Chain ManagementHealthcare AdministrationHealthcare Supply Chain ManagementLogistics ManagementHealth Care SupplyHealth Systems ManagementPandemic ResponseHealth Care LogisticsPersonal Protective EquipmentRobust Regression
Purpose The study aims to examine the role of health-care supply chain management during the COVID-19 pandemic in a cross-section of 42 selected sub-Saharan African (SSA) countries. Design/methodology/approach The study used cross-sectional robust least square regression for parameter estimates. Findings The results confirmed the N-shaped relationship between the health-care logistics performance index (HLPI) and COVID-19 cases. It implies that initially HLPI increases along with an increase in COVID-19 cases. Later down, it decreases COVID-19 cases by providing continued access to medical devices and personal protective equipment. Again, it increases due to resuming economic activities across countries. Practical implications The continuing health-care supply chain is crucial to minimize COVID-19 cases. The international support from the developed world in providing health-care equipment, debt resettlement and resolving regional conflicts is deemed desirable to escape the SSA countries from the COVID-19 pandemic. Originality/value The importance of the health-care supply chain during the COVID-19 pandemic is evident in the forecasting estimates, which shows that from August 2021 to April 2022, increasing the health-care supply chain at their third-degree level would reduce coronavirus registered cases. The results conclude that SSA countries required more efforts to contain coronavirus cases by thrice increasing their health-care logistics supply chain.
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Robust Regression: Asymptotics, Conjectures and Monte Carlo
Peter J. Huber · The Annals of Statistics · 1973 · 2.4K citations · Full text