Trust is key for a successful COVID-19 response

The COVID-19 Data Dispatch largely focuses on U.S. news. This country’s response to the pandemic has been so chaotic and confusing that it is a full-time job just to keep up with major developments. But sometimes, to truly understand COVID-19 in America, we need a global perspective. More specifically: seeing how other nations have succeeded in mounting a robust public health response—with actual support from the public—can show us how we have failed.

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Meet your new intern

Hi! I’m Sarah, and I’m going to be helping out around here for the time being. I’m currently a junior at Barnard College (Betsy’s alma mater) studying cell and molecular biology, and I’m looking to go into health journalism after I graduate. When I’m not dreaming of an all-powerful national data dashboard, I’m writing as […]

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Racism is a public health threat

This week, the American Medical Association (AMA) announced that the association recognizes racism as a public health threat. The association is adopting a new policy which acknowledges systemic racism, cultural racism, and interpersonal racism as barriers to healthcare for many Americans and as threats to equitable public health across the country. Although the policy does not specifically address COVID-19, it speaks to the impact that America’s racist history and healthcare system has had in making it more likely for Black Americans to become infected with the coronavirus and suffer worse health outcomes.

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What I learned from my Science Writers session

The Science Writers 2020 session I organized was called “Diving into the data: How data reporting can shape science stories.” Its goal was to introduce science writers to the world of data and to show them that this world is not a far-off inaccessible realm, but is rather a set of tools that they can add to their existing reporting skills.

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How to understand COVID-19 numbers

OG readers may remember that, in my first issue, I praised a ProPublica article by Caroline Chen and Ash Ngu which explains how to navigate and interpret COVID-19 data. I was inspired by that article to write a similar piece for Stacker: “How to understand COVID-19 case counts, positivity rates, and other numbers.”

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