COVID-19

No matter how much we’d like to eradicate SARS-CoV-2, it may be better to settle for other forms of control.

Other diseases with long-term symptoms can help us understand how COVID can affect us long after the virus itself is gone.

Genomic surveillance of the SARS-CoV-2 virus can help control the current pandemic and prevent future ones. But the process is marred by insufficient data and geographic inequities.

Glycans, the complex sugars that stud cellular surfaces, are like a language that life uses to mediate vital interactions. Researchers are learning how to read their meaning.

Most modeling efforts during the COVID-19 pandemic have sought to address urgent practical concerns. But some groups aim to bolster the theoretical underpinnings of that work instead.

In a second season of enlightened conversations, Steven Strogatz and leading researchers nourish our pandemic-starved minds.

In the fight against COVID-19, disease modelers have struggled against misunderstanding and misuse of their work. They have also come to realize how unready the state of modeling was for this pandemic.

While the study of the SARS-CoV-2 virus was the most urgent priority, biologists also learned more about how brains process information, how to define individuality and why sleep deprivation kills.

The medical research scientist and Quanta puzzle columnist Pradeep Mutalik explores how to make sense of COVID-19 data while managing your personal risk.