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Killing Time
When time itself becomes your enemy, who can you trust? Stranded in 1947, witches Devynn Rowe and Seth McAllister find themselves caught in a deadly game of cat and mouse. With Seth’s cousin Ruby kidnapped by a dangerous Wilcox primus who believes he can break an ancient family curse, they’re in a race against time itself. Devynn’s time-traveling abilities are growing more unstable by the day, threatening to trap them in the past forever. Meanwhile, Seth must put aside generations of distrust to work with the very family his clan has always viewed as their mortal enemies. As the couple delves deeper into the Wilcox family’s dark secrets, they uncover a plot far more sinister than the...
Lessons Learned in Analytics from the COVID-19 Pandemic
At the beginning of 2020, as the COVID-19 pandemic swept across the US in multiple waves, health systems had to rapidly develop systems for tracking various aspects related to managing the pandemic. This included not just overall trends in incidence, hospitalizations, and outcomes; but also metrics related to the response. COVID-19 was the first pandemic in the United States since the widespread adoption of electronic health records incentivized by the Meaningful Use program. As a result, the availability of health information was much broader than in any previous pandemic. The widespread impact of COVID-19 also meant that every healthcare institution was affected, and was tracking data related to the pandemic in some form. There has been more focused activity with data and analytics regarding COVID-19 than we have ever had with any other disease, including important advances as well as technical and regulatory obstacles.
Building a National Capability to Monitor and Assess Medical Countermeasure Use During a Public Health Emergency
During public health emergencies (PHEs) involving chemical, biological, radiological, or nuclear threats or emerging infectious diseases, medical countermeasures (MCMs) (e.g., drugs, vaccines, devices) may need to be dispensed or administered to affected populations to help mitigate the human health impact of the threat. The optimal MCMs determined for use during an emergency might be U.S. Food and Drug Administration (FDA) approved but used in unapproved ways (e.g., in a new age group or against a new agent); FDA approved using animal models because human efficacy testing is not ethical or feasible; or not yet FDA approved for any indication. As part of the United States' scientific and res...
