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How Congress Can Help Raise Vaccine Rates, Dorit Rubinstein Reiss, Y. Tony Yang
How Congress Can Help Raise Vaccine Rates, Dorit Rubinstein Reiss, Y. Tony Yang
Notre Dame Law Review Reflection
2019 saw an unusually high number of measles cases, and other preventable disease outbreaks, at least in part linked to vaccines refusal. States are considering legislative responses. This Essay examines what role the federal government can fill in increasing vaccines rates. The Essay suggests that the federal government has an important role to fill in funding research, coordination, and local efforts. It also suggests that a federal school vaccine mandate is likely not the solution: first, such mandates can run into plausible constitutional challenges, and second, there are policy arguments against it. The policy contentions include the unfairness of imposing …
Covid-19 And Domestic Travel Restrictions, Katherine Florey
Covid-19 And Domestic Travel Restrictions, Katherine Florey
Notre Dame Law Review Reflection
The strict controls that many jurisdictions, including most U.S. states, established to contain the COVID-19 pandemic have proven difficult to sustain over time, and most places are moving to lift them. Internationally, many plans to ease lockdowns have retained some form of travel restrictions, including the “green zone” plans adopted by France and Spain, which limit travel between regions with widespread community transmission of COVID-19 and those without it. By contrast, most U.S. states lifting shelter-in-place orders have opted to remove limits on movement as well. This Essay argues that this situation is unwise: it tends to create travel patterns …
Preventing The Corruption Of Healthcare Algorithms, Philip M. Nichols
Preventing The Corruption Of Healthcare Algorithms, Philip M. Nichols
Notre Dame Journal on Emerging Technologies
The intersection of technology and healthcare will radically change the provision of healthcare services. The full extent of the changes cannot be known now, but the direction is clear: collection of voluminous data and tools powerful enough to analyze that data will facilitate the design of algorithms that will enable machines to make important decisions regarding diagnoses and treatments. In addition to the possible benefits, policymakers and scholars have focused on issues of privacy and potential bias. The potential for corruption of the design of healthcare algorithms has been ignored, but the potential for corruption is real and dangerous. This …