Ecological super-spreaders drive host-range oscillations: Omicron and risk space for emerging infectious disease

The unusual genetic diversity of the Omicron strain has led to speculation about its origin. The mathematical modelling platform developed for the Stockholm Paradigm (SP) indicates strongly that it has retro-colonized humans from an unidentified nonhuman mammal, likely originally infected by humans. The relationship between Omicron and all other SARS-CoV-2 variants indicates oscillations among hosts, a core part of the SP. Such oscillations result from the emergence of novel variants following colonization of new hosts, replenishing and expanding the risk space for disease emergence. The SP predicts that pathogens colonize new hosts using pre-existing capacities. Those events are thus predictable to a certain extent. Novel variants emerge after a colonization and are not predictable. This makes it imperative to take proactive measures for anticipating emerging infectious diseases (EID) and mitigating their impact. The SP suggests a policy protocol, DAMA, to accomplish this goal. DAMA comprises: DOCUMENT to detect pathogens before they emerge in new places or colonize new hosts; ASSESS to determine risk; MONITOR to detect changes in pathogen populations that increase the risk of outbreaks and ACT to prevent outbreaks when possible and minimize their impact when they occur.

Automated summary

The unusual genetic diversity of the Omicron strain has led to speculation about its origin. Mathematical modeling suggests that it retro-colonized humans from an unknown nonhuman mammal, possibly initially infected by humans. The relationship between Omicron and other SARS-CoV-2 variants indicates oscillations among hosts, which is a core aspect of the Stockholm Paradigm. The study proposes the DAMA protocol to anticipate and mitigate the impact of emerging infectious diseases through documentation, assessment, monitoring, and proactive intervention.