Via the Columbia Journalism Review, a column by Jon Allsop: A turning point in coverage of COVID data. Click through for the full article and many links. Excerpt:
There's important information down the toilet—and no, I’m not talking about sensitive documents from the Trump White House. Early this month, the Centers for Disease Control and Prevention updated its online COVID data tracker to include wastewater analyses from hundreds of communities across the US, information that can serve as an early indicator of increased viral spread, or the circulation of a new variant, given that people shed the virus via their feces without having to take and report a test result. (Wastewater data is also collective, obviating privacy issues inherent to other forms of medical-data reporting.)
Wastewater experts who spoke with Apoorva Mandavilli, a reporter at the New York Times, were “understanding” of the fact that it took the CDC so long to publicly share data that it was, in some cases, already collecting. Not everyone shared that assessment, though. Robinson Meyer, a journalist at The Atlantic who co-founded the COVID Tracking Project to fill the gap left by official data shortages early in the pandemic, called the delayed publication “a scandal.”
It’s not just wastewater—as Mandavilli reported over the weekend, it turns out that the CDC “has published only a tiny fraction of the data it has collected” during the pandemic. The agency has tracked data breaking down hospitalization stats by age, race, and vaccination status for more than a year now but has mostly not published it; when officials shared data on the effectiveness of vaccine boosters recently, they left out the figures for a huge tranche of younger recipients until the Times inquired.
CDC representatives told Mandavilli that the agency withholds data for a variety of reasons, from the numbers being “not yet ready for prime time” to the agency’s slow and cumbersome bureaucracy as well as a fear that the public might misinterpret certain trends, particularly where the hospitalization of vaccinated people is concerned.
Jessica Malaty Rivera, who has also worked with the Tracking Project, slammed the latter rationale, in particular, noting that rather than reduce the risk of misinterpretation, “data vacuums” only heighten it. So, too, did Meyer, who called such attitudes not only “counterproductive” but “profoundly undemocratic.” The “approach has now persisted in the CDC across two presidents,” he noted. “It’s an issue with that agency—and with the overweeningly scholastic culture of public health in the US.”
The availability of good, timely data has been a persistent challenge for the press throughout the pandemic, as I’ve explored many times in this newsletter. So, too, has knowing how best to relay the data that we do have to our audiences. The recent Omicron wave sharpened the challenge again by posing a different type of threat than prior variants: low for most individuals, especially the vaccinated, but sharp for many immunocompromised and unvaccinated people as well as at the collective level of US healthcare infrastructure, given the variant’s high transmissibility.
Even before Omicron, some health officials and experts had urged news outlets to emphasize hospitalization and death rates more than case counts in their coverage, as mass vaccination frayed the previously close link between those numbers; as Omicron further frayed the link, those calls intensified. If Omicron cast fresh doubt on the usefulness of case counts, it also cast fresh doubt on their accuracy, as testing—which was not adequate to make US case counts fully reliable to begin with—became harder to access and many people neglected to report at-home results. The Associated Press, among other outlets, told staffers to be more cautious around case counts, and not to hype supposed new records by writing whole stories about them.
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