The transmission dynamics of Norovirus in England: a genotype-specific modelling study
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Background
Norovirus is the leading cause of acute gastroenteritis cases in England and worldwide, with diverse co-circulating genotypes. Recent surveillance in England shows GII.17 surpassing GII.4 in prevalence among reported cases, and vaccine candidates targeting multiple genotypes are advancing. However, most transmission models still focus on single-strain dynamics, limiting their ability to assess the role of co-circulating strains on population burden.
Methods
We developed an age structured multistrain transmission model that integrates norovirus genotype diversity, waning immunity, and cross-protection within genogroups. We calibrate to case and genotyping surveillance time-series from UKHSA with community-wide age structured incidence estimates and cross-sectional seroprevalence among English children to capture the transmission dynamics of the main co-circulating Norovirus strains in England. Using a calibrated model, we examine the case of an emerging GII.4 variant under different scenarios of transmissibility.
Results
We found that on average the current GII.4 strain has an R0 of ∼3.6. We estimate the average number of lifetime Norovirus-caused AGE cases per person to be between 3 and 4, with 60% of children in England experiencing at least one symptomatic episode by the age of four. Our inference analysis suggests that cross-protection within genogroups (between strains of the same genogroup, like GII.4 with other GII), is very limited at conferring protection. Importantly, our modelling suggests that a potential emerging variant would only cause a larger epidemic season if such variant was more transmissible, while equally transmissible new variants would create a re-distribution of co-circulating strains but maintaining the same epidemic size overall.
Conclusions
This approach addresses key limitations of single-strain frameworks and offers a more comprehensive understanding of norovirus dynamics, improving the capacity to assess the potential population-level effects of upcoming multivalent vaccine strategies.
