| Literature DB >> 33271867 |
Matthew James Cook1,2, Gabriela Guizzo Dri1, Prishanee Logan1, Jia Bin Tan1, Antoine Flahault3.
Abstract
The following case study aims to provide a broad overview of the initial Australian epidemiological situation of the novel coronavirus disease (COVID-19) pandemic. We provide a case presentation of Australia's current demographic characteristics and an overview of their health care system. The data we present on Australia's COVID-19 situation pertain to the initial wave of the pandemic from January through to 20 April 2020. The results of our study indicate the number of reported COVID-19 cases in Australia reduced, and Australia initially managed to successfully flatten the curve-from an initial doubling time of 3.4 days at the end of March 2020 to a doubling time of 112 days as of 20 April 2020. Using SEIR mathematical modelling, we investigate a scenario assuming infections increase once mitigation measures are lifted. In this case, Australia could experience over 15,000 confirmed cases by the end of April 2020. How Australia's government, health authorities and citizens adjust to preventative measures to reduce the risk of transmission as well as the risk of overburdening Australia's health care system is crucial. Our study presents the initial non-pharmaceutical intervention measures undertaken by the Australian health authorities in efforts to mitigate the rate of infection, and their observed and predicted outcomes. Finally, we conclude our study by presenting the observed and expected economic, social, and political disruptions Australians may endure as a result of the initial phase of the pandemic.Entities:
Keywords: Australia; COVID-19; acute respiratory disease; case study; country economy; epidemiology; exit strategies; mathematical modelling; media coverage; non pharmaceutical intervention; novel coronavirus; social political disruption
Year: 2020 PMID: 33271867 PMCID: PMC7730791 DOI: 10.3390/ijerph17238939
Source DB: PubMed Journal: Int J Environ Res Public Health ISSN: 1660-4601 Impact factor: 3.390
Ranking the Australian Health System.
| Performance Indicators | Target Performance | Towards Target Performance | Far Below Target Performance | Australia Score | Rating | |
|---|---|---|---|---|---|---|
| Domain I | UHC 1—Beyond Secondary Health Care Services provided to (% of the population) | >90% | 50–90% | <50% | >90% * [ | 3 |
| Female’s HALE 2 at Birth (in years) | >70 | 50–70 | <50 | 74.4 years [ | 3 | |
| Number Surgical Procedures Performed (% of the Minimum Number Needed) | >90% | 50–90% | <50% | 184% [ | 3 | |
| General Performance Score | 9 | |||||
| Domain II | Overall HAQ 3 Index | >90 | 50–90 | <50 | 95.5 [ | 3 |
| HAQ index for Hodgkin’s Lymphoma | >90 | 50–90 | <50 | 100 [ | 3 | |
| % 30 days-survival of Patients Hospitalized with Acute MI 4 | >95% | 85–95% | <85% | 96.20% [ | 3 | |
| Clinical Performance Score | 9 | |||||
| Domain III | % of Accredited Hospitals Providing Tertiary Care | >90% | 50–90% | <50% | >90% ** [ | 3 |
| Financial Protection, Health Care Equity and Funding Sustainability (% of the Population) | out of pocket expenditure on health care less than < 5% of total household income | out of pocket expenditure on health care 5–7.5% of total household income | out of pocket expenditure on health care >7.5% of total household income | 5.13% [ | 2 | |
| Gov. Funding for Health Research (% of GDP 5) | >0.2% | 0.05–0.2% | <0.05% | 0.366% [ | 3 | |
| Health System Equity and Sustainability Score | 8 |
1 UHC = Universal Health Coverage, 2 HALE = Healthy Life Expectancy, 3 HAQ = Health Access and Quality, 4 MI = Myocardial infarction, 5 GDP = Gross Domestic Product, * All Australians are covered by Australia’s universal health insurance scheme—Medicare, ** All public and private hospitals, day procedure services and public dental practices are required to be accredited to the National Safety and Quality Health Service Standards.
Figure 1New and cumulative reported COVID-19 cases. Data retrieved from the Australian Government Department of Health (2020). Last updated on 20 April 2020 [9].
Doubling rate of COVID-19 in Australia and by states and territories. Doubling rates calculated from the growth rate of the last 10 days. Data retrieved from the Australian Government Department of Health (2020) [9]. Last updated on 20 April 2020.
| Doubling Time (Days) | Australia | NSW | VIC | QLD | SA | WA | TAS | ACT | NT |
|---|---|---|---|---|---|---|---|---|---|
| 28 March | 3.40 | 3.47 | 4.01 | 3.88 | 3.10 | 3.37 | 3.34 | 2.04 | NA * |
| 8 April | 21.26 | 17.6 | 17.5 | 17.1 | 22.6 | 20.0 | 14.3 | 25.6 | NA * |
| 17 April | 85.6 | 92.4 | 61.3 | 75.3 | 157.5 | 52.9 | 10.6 | 138.6 | NA * |
| 20 April | 111.8 | 141.4 | 110.0 | 105.0 | 385.1 | 91.2 | 15.8 | 1732.9 | NA * |
* Not available. Northern Territory has had no new cases for the past two weeks (28 overall cases—20 April 2020).
Figure 2Cumulative growth of COVID-19 cases in Australia (shown since 100th case). The dotted line represents the possible trajectory of COVID-19 cases based on the growth rate of 28 March 2020. Last updated on 20 April 2020 [9].
Figure 3Logarithmic scale of cumulative reported cases of COVID-19 in Australia, Italy, the United Kingdom, Japan, and Singapore. Dotted lines represent different COVID-19 doubling rates. Country data retrieved from the John Hopkins Coronavirus Resource Centre [36]. Last updated on 20 April 2020.
Figure 4SEIR Model with rate of movement between categories.
SEIR parameters required to predict the COVID-19 pandemic for Australia. Inputting these variables into the equations will give us the parameters needed to make our predictions using the SEIR model.
| Equations | Values | Definitions | R0 = 2.27 | R0 = 2.53 |
|---|---|---|---|---|
| R0 = ß/ƴ | S = Susceptible; initial | 25,599,986 | 25,599,986 | |
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| E = Exposed; initial | 9596 | 9596 | |
| 5.2 days | I = Infected; initial | 4 | 4 | |
| 0.192 | R = Recovered; initial | 0 | 0 | |
| D: average duration of recovery | 6.8 | ß = Rate of spread of infection | 0.334 | 0.372 |
| γ: Recovery rate | 0.147 | σ = Incubation rate | 0.192 | 0.192 |
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| ƴ = Recovery rate | 0.147 | 0.147 | |
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| T = time interval; usually days | 1 | 1 | |
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| n = number of people on day n | varies | varies | |
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| N = total number of people = S + E + I + R | 25,600,000 | 25,600,000 |
Figure 5Actual vs. Predicted COVID-19 confirmed cases as of 17 April 2020.
Figure 6SEIR model predictions with basic reproductive number (R0) of 2.27 (solid lines) and 2.53 (dotted lines).
National non-pharmaceutical intervention measures implemented in Australia during the COVID-19 pandemic.
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| 14-day self-isolation for travellers arriving from Hubei Province of China |
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| Travel ban on mainland China *; 14-day self-isolation for travellers arriving from mainland China |
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| Travel ban on Iran *; 14-day self-isolation for travellers arriving from Iran |
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| Travel ban on Republic of Korea *; 14-day self-isolation for travellers arriving from Republic of Korea |
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| Travel ban on Italy *; 14-day self-isolation for travellers arriving from Italy |
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| Universal precautionary 14-day self-isolation requirement on all international arrivals |
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| Limit of fewer than 500 people for non-essential, organized public gatherings |
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| Limit of fewer than 100 people for non-essential indoor gatherings |
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| Border closure to all non-citizens and non-residents *; 14-day self-isolation for all travellers |
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| Closure of social gathering venues including pubs, clubs, hotels, gyms, indoor sporting venues, hotels, cinemas, entertainment venues, casinos, night clubs and places of worship |
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| Enhancement on social distancing measures by prohibition of additional activities and venues |
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| 14-day self-isolation for all travellers at specified facilities |
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| Postponement of all non-urgent elective surgery in private hospitals |
* with exemption of Australian citizens, permanent residents or others exempt from entry restrictions, ** provisions made for cruise ships already en route to Australia such as a 14-day self-isolation on Rottnest Island