2023
DOI: 10.3389/fimmu.2022.1049458
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The impact of cross-reactive immunity on the emergence of SARS-CoV-2 variants

Abstract: IntroductionA key feature of the COVID-19 pandemic has been the emergence of SARS-CoV-2 variants with different transmission characteristics. However, when a novel variant arrives in a host population, it will not necessarily lead to many cases. Instead, it may fade out, due to stochastic effects and the level of immunity in the population. Immunity against novel SARS-CoV-2 variants may be influenced by prior exposures to related viruses, such as other SARS-CoV-2 variants and seasonal coronaviruses, and the le… Show more

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Cited by 7 publications
(6 citation statements)
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“…In the absence of antigen testing, accounting for heterogeneity in within-host dynamics between different hosts generally gave rise to a lower outbreak risk estimate compared to that obtained under the assumption of homogeneous within-host dynamics, while the estimates using both versions of our multi-scale approach were higher than a commonly used outbreak risk estimate that does not account for within-host dynamics (1319) ( Figure 4B ). These results are consistent with previous comparisons of the outbreak risk between models with different infectious period distributions (20) or offspring distributions (48), although previous studies did not consider variations in infectiousness during infection.…”
Section: Discussionmentioning
confidence: 79%
See 1 more Smart Citation
“…In the absence of antigen testing, accounting for heterogeneity in within-host dynamics between different hosts generally gave rise to a lower outbreak risk estimate compared to that obtained under the assumption of homogeneous within-host dynamics, while the estimates using both versions of our multi-scale approach were higher than a commonly used outbreak risk estimate that does not account for within-host dynamics (1319) ( Figure 4B ). These results are consistent with previous comparisons of the outbreak risk between models with different infectious period distributions (20) or offspring distributions (48), although previous studies did not consider variations in infectiousness during infection.…”
Section: Discussionmentioning
confidence: 79%
“…While the outbreak risk can be estimated by simulating a stochastic epidemic model a large number of times (and calculating the proportion of simulations in which a large outbreak occurs), branching process theory can also be used to derive outbreak risk estimates analytically (12). A commonly used formula in the applied epidemic modelling literature (13)(14)(15)(16)(17)(18)(19) is ሺOutbreak riskሻ ൌ 1 െ 1/ܴ (whenever the basic reproduction number, ܴ 1; when ܴ 1, the outbreak risk is zero). However, this formula relies on simplistic assumptions, including each infected individual having constant infectiousness throughout an exponentially distributed infectious period.…”
Section: Introductionmentioning
confidence: 99%
“…A faster immunity waning, can be considered by modifying the compartment model to a SIRS model. Another possibility is the emergence of new variants that evade the immunity caused by previous variants ( Thompson et al, 2023 ). Such new variants would not affect our method if the immunity against previous strains can prevent severe symptoms.…”
Section: Discussionmentioning
confidence: 99%
“…However, in a more realistic scenario in which cross-reactive immunity is partial, the novel variants can invade, even if they are less transmissible than previously circulating viruses. This is because partial cross-reactive immunity effectively increases the pool of susceptible hosts that are available to the novel variant compared with that of complete cross-reactive immunity [ 17 ]. Once the earlier infection with the antigenically related virus assists the establishment of infection with the novel variant, then even variants with very limited transmissibility can invade the host population [ 17 ].…”
Section: Introductionmentioning
confidence: 99%