» Articles » PMID: 35284395

Simulating Transmission Scenarios of the Delta Variant of SARS-CoV-2 in Australia

Overview
Specialty Public Health
Date 2022 Mar 14
PMID 35284395
Authors
Affiliations
Soon will be listed here.
Abstract

An outbreak of the Delta (B.1.617.2) variant of SARS-CoV-2 that began around mid-June 2021 in Sydney, Australia, quickly developed into a nation-wide epidemic. The ongoing epidemic is of major concern as the Delta variant is more infectious than previous variants that circulated in Australia in 2020. Using a re-calibrated agent-based model, we explored a feasible range of non-pharmaceutical interventions, including case isolation, home quarantine, school closures, and stay-at-home restrictions (i.e., "social distancing.") Our modelling indicated that the levels of reduced interactions in workplaces and across communities attained in Sydney and other parts of the nation were inadequate for controlling the outbreak. A counter-factual analysis suggested that if 70% of the population followed tight stay-at-home restrictions, then at least 45 days would have been needed for new daily cases to fall from their peak to below ten per day. Our model predicted that, under a progressive vaccination rollout, if 40-50% of the Australian population follow stay-at-home restrictions, the incidence will peak by mid-October 2021: the peak in incidence across the nation was indeed observed in mid-October. We also quantified an expected burden on the healthcare system and potential fatalities across Australia.

Citing Articles

Bounded risk disposition explains Turing patterns and tipping points during spatial contagions.

Jamerlan C, Prokopenko M R Soc Open Sci. 2024; 11(10):240457.

PMID: 39359464 PMC: 11444781. DOI: 10.1098/rsos.240457.


Predictive models for health outcomes due to SARS-CoV-2, including the effect of vaccination: a systematic review.

Espinosa O, Mora L, Sanabria C, Ramos A, Rincon D, Bejarano V Syst Rev. 2024; 13(1):30.

PMID: 38229123 PMC: 10790449. DOI: 10.1186/s13643-023-02411-1.


Measuring unequal distribution of pandemic severity across census years, variants of concern and interventions.

Nguyen Q, Chang S, Jamerlan C, Prokopenko M Popul Health Metr. 2023; 21(1):17.

PMID: 37899455 PMC: 10613397. DOI: 10.1186/s12963-023-00318-6.


Phase-wise evaluation and optimization of non-pharmaceutical interventions to contain the COVID-19 pandemic in the U.S.

Zhou X, Zhang X, Santi P, Ratti C Front Public Health. 2023; 11:1198973.

PMID: 37601210 PMC: 10434774. DOI: 10.3389/fpubh.2023.1198973.


Persistence of the Omicron variant of SARS-CoV-2 in Australia: The impact of fluctuating social distancing.

Chang S, Nguyen Q, Martiniuk A, Sintchenko V, Sorrell T, Prokopenko M PLOS Glob Public Health. 2023; 3(4):e0001427.

PMID: 37068078 PMC: 10109475. DOI: 10.1371/journal.pgph.0001427.


References
1.
MacIntyre C, Costantino V, Chanmugam A . The use of face masks during vaccine roll-out in New YorkCity and impact on epidemic control. Vaccine. 2021; 39(42):6296-6301. PMC: 8443976. DOI: 10.1016/j.vaccine.2021.08.102. View

2.
Zhang S, Arroyo Marioli F, Gao R, Wang S . A Second Wave? What Do People Mean by COVID Waves? - A Working Definition of Epidemic Waves. Risk Manag Healthc Policy. 2021; 14:3775-3782. PMC: 8448159. DOI: 10.2147/RMHP.S326051. View

3.
Lokuge K, Banks E, Davis S, Roberts L, Street T, ODonovan D . Exit strategies: optimising feasible surveillance for detection, elimination, and ongoing prevention of COVID-19 community transmission. BMC Med. 2021; 19(1):50. PMC: 7887417. DOI: 10.1186/s12916-021-01934-5. View

4.
Chang S, Cliff O, Zachreson C, Prokopenko M . Simulating Transmission Scenarios of the Delta Variant of SARS-CoV-2 in Australia. Front Public Health. 2022; 10:823043. PMC: 8907620. DOI: 10.3389/fpubh.2022.823043. View

5.
Wang W, Wu Q, Yang J, Dong K, Chen X, Bai X . Global, regional, and national estimates of target population sizes for covid-19 vaccination: descriptive study. BMJ. 2020; 371:m4704. PMC: 7736995. DOI: 10.1136/bmj.m4704. View