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

Transbound Emerg Dis. 2022 Sep;69(5):e1280-e1288. doi: 10.1111/tbed.14557. Epub 2022 May 13.

Abstract

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.

Keywords: evolution; mutation; oscillations; risk space; wildlife.

Publication types

  • Review

MeSH terms

  • Animals
  • COVID-19* / epidemiology
  • COVID-19* / veterinary
  • Communicable Diseases, Emerging* / epidemiology
  • Communicable Diseases, Emerging* / veterinary
  • Host Specificity
  • Humans
  • Mammals
  • SARS-CoV-2 / genetics

Supplementary concepts

  • SARS-CoV-2 variants