ArticleEpidemics2022
Modelling the dynamics of infection, waning of immunity and re-infection with the Omicron variant of SARS-CoV-2 in Aotearoa New Zealand.
Article in Epidemics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.
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Who cites it
12 citing papers in PubMed, 26 citations in OpenAlex.
- Post-COVID-19 Seasonality of Influenza, Respiratory Syncytial Virus, and SARS-CoV-2 Among Hospitalized Children in Western Iran: A Molecular Surveillance Study (2023-2024).Journal of epidemiology and global health · 2025Article
- Modelling immunity gaps to quantify infection resurgences.Royal Society open science · 2025Article
- The Lag -Effects of Air Pollutants and Meteorological Factors on COVID-19 Infection Transmission and Severity: Using Machine Learning Techniques.Journal of research in health sciences · 2024Article
- Review
- Jointly estimating epidemiological dynamics of Covid-19 from case and wastewater data in Aotearoa New Zealand.Communications medicine · 2024Article
- How immune dynamics shape multi-season epidemics: a continuous-discrete model in one dimensional antigenic space.Journal of mathematical biology · 2024Article
- Near-term forecasting of Covid-19 cases and hospitalisations in Aotearoa New Zealand.PLoS computational biology · 2024Article
- Prediction of the next major outbreak of COVID-19 in Mainland China and a vaccination strategy for it.Royal Society open science · 2023Article
- Modelling Aotearoa New Zealand's COVID-19 protection framework and the transition away from the elimination strategy.Royal Society open science · 2023Article
- Modelling the impact of the Omicron BA.5 subvariant in New Zealand.Journal of the Royal Society, Interface · 2023Article
- An age-dependent immuno-epidemiological model with distributed recovery and death rates.Journal of mathematical biology · 2023Article
- Tracing the international arrivals of SARS-CoV-2 Omicron variants after Aotearoa New Zealand reopened its border.Nature communications · 2022Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aotearoa New Zealand experienced a wave of the Omicron variant of SARS-CoV-2 in 2022 with around 200 confirmed cases per 1000 people between January and May. Waning of infection-derived immunity means people become increasingly susceptible to re-infection with SARS-CoV-2 over time. We investigated a model that included waning of vaccine-derived and infection-derived immunity under scenarios representing different levels of behavioural change relative to the first Omicron wave. Because the durability of infection-derived immunity is a key uncertainty in epidemiological models, we investigated outcomes under different assumptions about the speed of waning. The model was used to provide scenarios to the New Zealand Government, helping to inform policy response and healthcare system preparedness ahead of the winter respiratory illness season. In all scenarios investigated, a second Omicron wave was projected to occur in the second half of 2022. The timing of the peak depended primarily on the speed of waning and was typically between August and November. The peak number of daily infections in the second Omicron wave was smaller than in the first Omicron wave. Peak hospital occupancy was also generally lower than in the first wave but was sensitive to the age distribution of infections. A scenario with increased contact rates in older groups had higher peak hospital occupancy than the first wave. Scenarios with relatively high transmission, whether a result of relaxation of control measures or voluntary behaviour change, did not necessarily lead to higher peaks. However, they generally resulted in more sustained healthcare demand (>250 hospital beds throughout the winter period). The estimated health burden of Covid-19 in the medium term is sensitive to the strength and durability of infection-derived and hybrid immunity against reinfection and severe illness, which are uncertain.
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