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Risk of sustained SARS-CoV-2 transmission in Queensland, Australia

We used an agent-based model Covasim to assess the risk of sustained community transmission of SARSCoV-2/COVID-19 in Queensland (Australia) in the presence of high-transmission variants of the virus. The model was calibrated using the demographics, policies, and interventions implemented in the stat...

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Autores principales: Sanz-Leon, Paula, Stevenson, Nathan J., Stuart, Robyn M., Abeysuriya, Romesh G., Pang, James C., Lambert, Stephen B., Kerr, Cliff C., Roberts, James A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9012253/
https://www.ncbi.nlm.nih.gov/pubmed/35428853
http://dx.doi.org/10.1038/s41598-022-10349-y
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author Sanz-Leon, Paula
Stevenson, Nathan J.
Stuart, Robyn M.
Abeysuriya, Romesh G.
Pang, James C.
Lambert, Stephen B.
Kerr, Cliff C.
Roberts, James A.
author_facet Sanz-Leon, Paula
Stevenson, Nathan J.
Stuart, Robyn M.
Abeysuriya, Romesh G.
Pang, James C.
Lambert, Stephen B.
Kerr, Cliff C.
Roberts, James A.
author_sort Sanz-Leon, Paula
collection PubMed
description We used an agent-based model Covasim to assess the risk of sustained community transmission of SARSCoV-2/COVID-19 in Queensland (Australia) in the presence of high-transmission variants of the virus. The model was calibrated using the demographics, policies, and interventions implemented in the state. Then, using the calibrated model, we simulated possible epidemic trajectories that could eventuate due to leakage of infected cases with high-transmission variants, during a period without recorded cases of locally acquired infections, known in Australian settings as “zero community transmission”. We also examined how the threat of new variants reduces given a range of vaccination levels. Specifically, the model calibration covered the first-wave period from early March 2020 to May 2020. Predicted epidemic trajectories were simulated from early February 2021 to late March 2021. Our simulations showed that one infected agent with the ancestral (A.2.2) variant has a 14% chance of crossing a threshold of sustained community transmission (SCT) (i.e., > 5 infections per day, more than 3 days in a row), assuming no change in the prevailing preventative and counteracting policies. However, one agent carrying the alpha (B.1.1.7) variant has a 43% chance of crossing the same threshold; a threefold increase with respect to the ancestral strain; while, one agent carrying the delta (B.1.617.2) variant has a 60% chance of the same threshold, a fourfold increase with respect to the ancestral strain. The delta variant is 50% more likely to trigger SCT than the alpha variant. Doubling the average number of daily tests from ∼ 6,000 to 12,000 results in a decrease of this SCT probability from 43 to 33% for the alpha variant. However, if the delta variant is circulating we would need an average of 100,000 daily tests to achieve a similar decrease in SCT risk. Further, achieving a full-vaccination coverage of 70% of the adult population, with a vaccine with 70% effectiveness against infection, would decrease the probability of SCT from a single seed of alpha from 43 to 20%, on par with the ancestral strain in a naive population. In contrast, for the same vaccine coverage and same effectiveness, the probability of SCT from a single seed of delta would decrease from 62 to 48%, a risk slightly above the alpha variant in a naive population. Our results demonstrate that the introduction of even a small number of people infected with high-transmission variants dramatically increases the probability of sustained community transmission in Queensland. Until very high vaccine coverage is achieved, a swift implementation of policies and interventions, together with high quarantine adherence rates, will be required to minimise the probability of sustained community transmission.
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spelling pubmed-90122532022-04-18 Risk of sustained SARS-CoV-2 transmission in Queensland, Australia Sanz-Leon, Paula Stevenson, Nathan J. Stuart, Robyn M. Abeysuriya, Romesh G. Pang, James C. Lambert, Stephen B. Kerr, Cliff C. Roberts, James A. Sci Rep Article We used an agent-based model Covasim to assess the risk of sustained community transmission of SARSCoV-2/COVID-19 in Queensland (Australia) in the presence of high-transmission variants of the virus. The model was calibrated using the demographics, policies, and interventions implemented in the state. Then, using the calibrated model, we simulated possible epidemic trajectories that could eventuate due to leakage of infected cases with high-transmission variants, during a period without recorded cases of locally acquired infections, known in Australian settings as “zero community transmission”. We also examined how the threat of new variants reduces given a range of vaccination levels. Specifically, the model calibration covered the first-wave period from early March 2020 to May 2020. Predicted epidemic trajectories were simulated from early February 2021 to late March 2021. Our simulations showed that one infected agent with the ancestral (A.2.2) variant has a 14% chance of crossing a threshold of sustained community transmission (SCT) (i.e., > 5 infections per day, more than 3 days in a row), assuming no change in the prevailing preventative and counteracting policies. However, one agent carrying the alpha (B.1.1.7) variant has a 43% chance of crossing the same threshold; a threefold increase with respect to the ancestral strain; while, one agent carrying the delta (B.1.617.2) variant has a 60% chance of the same threshold, a fourfold increase with respect to the ancestral strain. The delta variant is 50% more likely to trigger SCT than the alpha variant. Doubling the average number of daily tests from ∼ 6,000 to 12,000 results in a decrease of this SCT probability from 43 to 33% for the alpha variant. However, if the delta variant is circulating we would need an average of 100,000 daily tests to achieve a similar decrease in SCT risk. Further, achieving a full-vaccination coverage of 70% of the adult population, with a vaccine with 70% effectiveness against infection, would decrease the probability of SCT from a single seed of alpha from 43 to 20%, on par with the ancestral strain in a naive population. In contrast, for the same vaccine coverage and same effectiveness, the probability of SCT from a single seed of delta would decrease from 62 to 48%, a risk slightly above the alpha variant in a naive population. Our results demonstrate that the introduction of even a small number of people infected with high-transmission variants dramatically increases the probability of sustained community transmission in Queensland. Until very high vaccine coverage is achieved, a swift implementation of policies and interventions, together with high quarantine adherence rates, will be required to minimise the probability of sustained community transmission. Nature Publishing Group UK 2022-04-15 /pmc/articles/PMC9012253/ /pubmed/35428853 http://dx.doi.org/10.1038/s41598-022-10349-y Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Sanz-Leon, Paula
Stevenson, Nathan J.
Stuart, Robyn M.
Abeysuriya, Romesh G.
Pang, James C.
Lambert, Stephen B.
Kerr, Cliff C.
Roberts, James A.
Risk of sustained SARS-CoV-2 transmission in Queensland, Australia
title Risk of sustained SARS-CoV-2 transmission in Queensland, Australia
title_full Risk of sustained SARS-CoV-2 transmission in Queensland, Australia
title_fullStr Risk of sustained SARS-CoV-2 transmission in Queensland, Australia
title_full_unstemmed Risk of sustained SARS-CoV-2 transmission in Queensland, Australia
title_short Risk of sustained SARS-CoV-2 transmission in Queensland, Australia
title_sort risk of sustained sars-cov-2 transmission in queensland, australia
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9012253/
https://www.ncbi.nlm.nih.gov/pubmed/35428853
http://dx.doi.org/10.1038/s41598-022-10349-y
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