One Year In, Our Biggest Lessons and Unsolved Mysteries about COVID-19

One Year In, Our Biggest Lessons and Unsolved Mysteries about COVID-19

A leading virologist reflects on the past year and the unknowns about COVID-19 that we still need to solve.

Photo by ERROR 420 📷 on Unsplash

On the one-year anniversary of the World Health Organization declaring SARS-CoV-2 a global pandemic, it's hard to believe that so much and yet so little time has passed. The past twelve months seem to have dragged by, with each day feeling like an eternity, yet also it feels as though it has flashed by in a blur.

Nearly everyone I've spoken with, from recent acquaintances to my closest friends and family, have reported feeling the same odd sense of disconnectedness, which I've taken to calling "pandemic relativity." Just this week, Ellen Cushing published a piece in The Atlantic about the effects of "late-stage pandemic" on memory and cognitive function. Perhaps, thanks to twelve months of living this way, we have all found it that much more difficult to distill the key lessons that will allow us to emerge from the relentless, disconnected grind of our current reality, return to some semblance of normalcy, and take the decisive steps needed to ensure the mistakes of this pandemic are not repeated in the next one.

As a virologist who studies SARS-CoV-2 and other emerging viruses, and who sometimes writes and publicly comments on my thoughts, I've been asked frequently about what we've learned as we approach a year of living in suspension. While I always come up with an answer, the truth is similar to my perception of time: we've learned a lot, but at the same time, that's only served to highlight how much we still don't know. We have uncovered and clarified many scientific truths, but also revealed the limits of our scientific knowledge.

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Angela Rasmussen
Dr. Angela Rasmussen uses systems biology techniques to interrogate the host response to viral infection. She has studied a huge range of viral pathogens, from the “common cold” (rhinovirus) to Ebola virus to highly pathogenic avian influenza virus to SARS-CoV-2/COVID-19. By combining current classical approaches to modeling infection and pathogenesis with sequencing technology and machine learning, Dr. Rasmussen and her colleagues and collaborators have identified new host mechanisms by which viruses cause disease.
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