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Sentinel Surveillance Of Sars-Cov-2 Rates And Equity Impacts Using Labor And Delivery Patients In Phoenix, Arizona, Caitlyn J. Linehan, Trisalyn Nelson, Celeste V. Bailey, Esma Gel, Dean V. Coonrod, Cheryl K. Roth
Sentinel Surveillance Of Sars-Cov-2 Rates And Equity Impacts Using Labor And Delivery Patients In Phoenix, Arizona, Caitlyn J. Linehan, Trisalyn Nelson, Celeste V. Bailey, Esma Gel, Dean V. Coonrod, Cheryl K. Roth
Department of Supply Chain Management and Analytics: Faculty and Staff Publications
Proactive management of SARS-CoV-2 requires timely and complete population data to track the evolution of the virus and identify at risk populations. However, many cases are asymptomatic and are not easily discovered through traditional testing efforts. Sentinel surveillance can be used to estimate the prevalence of infections for geographical areas but requires identification of sentinels who are representative of the larger population. Our goal is to evaluate applicability of a population of labor and delivery patients for sentinel surveillance system for monitoring the prevalence of SARS-CoV-2 infection. We tested 5307 labor and delivery patients from two hospitals in Phoenix, Arizona, …
Covid‑19 Vaccine Distribution: Exploring Strategic Alternatives For The Greater Good, Arben Asllani, Silvana Trimi
Covid‑19 Vaccine Distribution: Exploring Strategic Alternatives For The Greater Good, Arben Asllani, Silvana Trimi
Department of Supply Chain Management and Analytics: Faculty and Staff Publications
The dire state of the COVID-19 pandemic crisis symbolized the urgency for efficient distribution and administration of vaccines to combat the virus as the most urgent public health service. This paper presents a prototype multi-criteria decision support model based on goal programming that can effectively support vaccination plans for the greater good of society. The optimization goals of the model include minimizing the number of fatalities and risk of spreading the disease, while complying with government health agency’s priority guidelines for vaccination. This study applied the model to a real-world dataset to demonstrate how it can be effectively applied as …