The Omicron variant is spreading rapidly worldwide. New travel restrictions and mounting anxiety have followed this heavily mutated version of the coronavirus, which has been reported now in more than 60 countries. In South Africa, where Omicron’s 50 or so mutations were first identified, the variant has shown that it can reinfect people who already caught and survived earlier versions of the SARS-CoV-2 virus, as well as people who have been vaccinated against it.
Scientists are now trying to model Omicron’s global trajectory, which depends on two factors. One is its innate contagiousness, or transmissibility. The second is its capacity to evade human immune systems. Untangling how much transmissibility and immune evasion each contribute to the variant’s spread is “what will allow us to predict how many people Omicron might infect and how fast,” says Marc Lipsitch, an epidemiologist at the Harvard T.H. Chan School of Public Health, in Boston.
Transmissibility reflects the virus’s ability to replicate in human cells and move from person to person. “It depends on all sorts of biological processes,” explains Jeffrey Shaman, an infectious disease modeler at Columbia University’s Mailman School of Public Health. “Does it bind more easily to receptors in people’s lungs? Do you shed it more efficiently and spew more of it out so you can infect more people?” Immune system evasion, on the other hand, is the capacity of the virus to avoid antibodies that would otherwise mark it for destruction by the body, as well as an ability to dodge various immune system cells key step in gauging a virus’s spread is to start with one infected person and estimate how many other people will get the virus from that individual. In an ongoing pandemic, scientists try to capture that estimate with a value called the effective reproduction number, or Rt. The variable “t” represents the number of secondary infections and depends on the effects of other people’s immunity, seasonal weather patterns, public health interventions, and other limits on viral transmission. Rt “can change from minute to minute depending on real-world conditions,” Lipsitch says. “We use it to determine how fast an outbreak is growing, or shrinking.” A value of R2, for instance, means that one person will infect two others while a value of R5 means the person will spread the virus to five individuals, increasing the number of infected people much faster. Rt estimates for Omicron are now emerging. On December 9, South Africa’s National Institute for Communicable Diseases (NICD) reported that by early November, Rt in that country had stabilized at values below one, signifying cases were actually falling during a period when Delta was the dominant variant and it ran up against widespread immunity in the population. But then Rt shot up suddenly in mid-November. It is now greater than 2 throughout most of the country and exceeds 2.5 in the densely populated province of Gauteng, as well as KwaZulu-Natal and Mpumalanga provinces. NICD scientists calculated the value using laboratory-confirmed cases and hospital admissions data. The Rt in this case includes other variants in addition to Omicron, but the sudden rise indicates that the new variant is in the mix and creating a lot of new infections, according to Carl Pearson, a mathematical modeler at the London School of Hygiene and Tropical Medicine, who works closely with the South African investigators.
Scientists with the United Kingdom’s Health Security Agency have since reported an Rt of 3.7 for Omicron itself. That disturbingly high number, presented in a technical briefing released on December 10, is based in part on data showing that Omicron infections in the U.K. are doubling every three days. At that pace, Omicron presents a much larger threat in terms of case counts than Delta, wrote Trevor Bedford, an infectious disease modeler at the Fred Hutchinson Cancer Center, in Seattle, in a detailed series of comments on Twitter.
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