Dr. Debra Furr-Holden, public health expert at Michigan State University, discusses the ongoing challenges of collecting and reporting COVID-19 race data, how data gaps fuel vaccine hesitancy, the equity challenges inherent in vaccine mandates, and more.
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This week, I had the opportunity to talk to Mike, a Bear Week attendee from Pittsburgh, who caught COVID-19 in Provincetown. He told me about his experience attending parties, getting sick, and learning about the scale of the outbreak.
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Two weeks ago, a major new COVID-19 data source came on the scene: the Health Equity Tracker, developed by the Satcher Health Leadership Institute at Morehouse School of Medicine. To dig more into this valuable resource, I talked to Josh Zarrabi, senior software engineer at the Satcher Health Leadership.
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This week, I had a story on COVID-19 testing published in Slate’s Future Tense vertical. The piece explores how testing will change in the next few months as more Americans become vaccinated and rapid tests become more widely available. In the CDD today, I’m excited to share one of the interviews I conducted for the piece, with Dan Larremore, a statistician at the University of Colorado and long-time advocate for the potential of rapid tests.
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Since last fall, I’ve been fascinated by exposure notification apps. These phone applications use Bluetooth to track people’s close contacts and inform them when a contact has tested positive for COVID-19. As I wrote back in October, though, data on the apps are few and far between, leaving me with a lot of questions about how many people actually have these apps on their phones—and how well they’re working at preventing COVID-19 spread. This week, I put those questions to Jenny Wanger, co-founder of the TCN Coalition and Director of Programs at the Linux Foundation of Public Health.
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When the University of California at San Diego started planning out their campus reopening strategy last spring, a research team at the school enlisted Ravi Goyal to help determine the most crucial mitigation measures. Goyal is a statistician at the policy research organization Mathematica (no, not the software system). I spoke to Goyal this week about the challenges of modeling COVID-19, the patterns he saw at UC San Diego, and how this pandemic may impact the future of infectious disease modeling.
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In the COVID-19 Data Dispatch this week, I wanted to share some bonus material from my recent Science News story. One of my favorite interviews that I did for this feature was with Dr. Pardis Sabeti, a computational geneticist at the Broad Institute of Harvard University and MIT. The Broad Institute helped over 100 colleges and universities set up COVID-19 testing and student symptom monitoring, most of them in New England. When I talked to Dr. Sabeti, though, she mostly spoke about Colorado Mesa University—a small school in Grand Junction, Colorado that saw it as a moral imperative to bring all of their students back to campus this fall.
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