Projects

COVASIM: Modelling COVID-19

Figure 1: Impact of policy changes.

COVASIM - an individual-based model assessing the impact of easing COVID-19 restrictions.

In the absence of a vaccine or effective treatment to control the COVID-19 epidemic the Australian and State Governments implemented a series of behavioural control measures, including physical distancing and isolation/quarantine to reduce virus transmission. This approach has been highly successful.

As control measures are relaxed across Australia, care and vigilance is needed to limit the real risk that COVID-19 cases could rapidly rise again.

Hence it is vital that governments have high quality precise information about the likely impact of relaxing various control measures, and the time required to monitor the impact of relaxing these measures.

Also, it is important to understand the likely impact of interventions on reducing transmission in the community.

COVID-19 Mathematical Modelling of resurgence risk: | 26 Sept 2020

Estimating risks associated with early reopening in Victoria

Authors: Dr Romesh Abeysuriya, Dominic Delport, Professor Margaret Hellard AM, Dr Nick Scott. Funding: Commissioned by the Victorian Department of Health and Human Services.

Following the introduction of Stage 4 restrictions in Melbourne, daily new detected cases of COVID-19 have been declining. Accordingly, a roadmap detailing possible sequences of policy relaxations has been proposed to return to a “COVID normal”, together with criteria for triggering each step. Due to the high social and economic impact of the restrictions currently in place, it is important that restrictions are relaxed as quickly as possible. However, relaxing too quickly increases the risk of a resurgence in infections, which may then require a reintroduction of restrictions to contain.

In this study, we use COVASIM to estimate the risk of Victoria experiencing a third COVID-19 epidemic wave if Stage 4 restrictions were eased on the 14th September 2020 or two weeks later on the 28th September.

In both scenarios, restrictions were eased to a level of restrictions similar to Victoria in early June (pre-Stage 3), approximately the “final step” in the Victorian government roadmap or NSW in September. Specifically we modelled:

  • Schools, childcare and workplaces reopen
  • Cafes, restaurants, pubs, bars, entertainment venues, and places of worship all open with a four square metre distancing rule
  • Community sport and small social gatherings are allowed
  • Test results take 24 hours to become available
  • Contact tracing takes an additional 24 hours following test results, and includes use of the COVIDSafe app
  • The number of tests per day is increased to maximum capacity observed in June upon easing
  • Large events are banned and mandatory masks are maintained.

While there are a wide range of options for incremental relaxation, in this study we sought to specifically examine the impact of timing, to examine the relationship between the degree of containment prior to relaxation and resurgence risk.

Conclusions and recommendations

Overall, our results suggest that Victoria would not have been able to safely return to NSW-level restrictions on 14th September, and there would be a high risk associated with lifting all restrictions at once on the 28th September.

Download the COVASIM Modelling of resurgence risk.

WHAT IS COVASIM?

The Burnet Institute and the Institute for Disease Modelling in the USA has developed a unique individual-based COVID-19 model (COVASIM) that can assess the impact and risk associated with relaxing various physical distancing policies on the resurgence of COVID-19.

It has already been applied to a number of high, middle and low-income settings, including a number of states in the USA and countries across Africa. The individual-based simulation model can be applied to all Australian jurisdictions.

It provides governments with more specific and precise data to inform their COVID-19 responses.

EARLIER PUBLISHED FINDINGS FROM COVASIM

N Scott, A Palmer, D Delport, R Abeysuriya, R Stuart, C Kerr, D Mistry, D Klein, R Sacks-Davis, K Heath, S Hainsworth, A Pedrana, M Stoove, D Wilson, M Hellard.
Modelling the impact of reducing control measures on the COVID-19 pandemic in a low transmission setting (In press – MJA) Accepted September 2020. Online 2 Sept.

The COVASIM model assessed the impact and risk associated with relaxing various physical distancing policies in Victoria, Australia at the end of the first COVID-19 wave. A key finding of that work was that relaxing restrictions too quickly could lead a considerable resurgence of COVID-19 in the community if there was failure to detect early clusters of infection.

Visit the Know-C19 Hub for more policy briefs and reports from the Know-C19 team.

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