A mixed methods approach to modeling personal protective equipment supply chains for infectious disease outbreak response
Personal protective equipment (PPE) is critical to the protection of healthcare workers responding to infectious disease outbreaks. The ability of the PPE supply chain to provide adequate and consistent supply when there is a large spike in demand has not been well considered. Humanitarian logistics literature rarely considers infectious disease outbreaks as possible humanitarian crises while epidemiology literature assumes perfectly responsive supply chains. This thesis uses a mixed methods approach an exploratory case study and system dynamics model to bridge the gap between these two fields. It provides one approach for connecting epidemiology and supply chain research. An explanatory case study of the 2014 West Africa Ebola outbreak is used to analyze the PPE supply chain and its in crisis functionality. We gather primary data using semi structured interviews with supply chain actors and analyze that data using qualitative coding analysis. The system dynamics model is developed based on the results of the case study to offer insight as to how the PPE supply chain could be improved to better respond to future outbreaks. Several scenarios are simulated to test the effects of various supply chain improvement strategies. Relationship building between supply chain actors, unconstrained shipping channels, flexible funding pools, and pre positioning are all found to be effective supply chain improvement strategies.