Technical notes

Scope and features of the COVID-19 register

The AIHW was funded by the Medical Research Future Fund in April 2022 to establish the COVID-19 register (the Register), which is a national linked data asset linking COVID-19 notification data to a range of administrative datasets. This report uses the most recent version of the COVID-19 Register (Version 2.6).

Figure A1 summarises the coverage of each of the data sources used in this report.

COVID-19 case notification data consisted of all notifications from 7 out of 8 states and territories between 25 January 2020 (the date the first case was reported (Hunt 2020)) to 31 December 2022. At the time of setting up the Register, COVID-19 case notifications from all states/territories (except Western Australia (WA)) were available for linkage, owing to WA’s decision to work towards providing these notifications data to the National Health Data Hub (NHDH) instead.

The number of cases of COVID-19 in notifications data will always be an underestimation of the true infection and case rates in the community as some people will not have symptoms, may not seek medical attention or be tested if they are symptomatic. However, underestimation of the rates of COVID-19 probably increased from late 2022 onwards due to a reduction in case detection through changes to testing and reporting requirements, as well as less likelihood of severe disease occurring due to the protective effects of vaccination and prior infection (AIHW 2024).

There are some differences in the geographic and temporal scope of each data source due to the availability of the data in Version 2.6. For example, data from the National Hospital Morbidity Database (NHMD) was only available up to 30 June 2022 and excludes data from Western Australia and the Northern Territory. Time periods for the COVID-19 data also vary slightly by jurisdiction (see Table A1).

Figure A1: Temporal coverage of data sets used (based on the COVID-19 Register Version 2.6)

See extended description following this image.


Table A1: Jurisdictional coverage of COVID-19 cases (based on the COVID-19 Register version 2.6)

Data coverage

Temporal coverage

New South Wales

25 January 2020 – 31 December 2022

Victoria

25 January 2020 – 31 December 2022

Queensland

28 January 2020 – 31 December 2022

South Australia

30 January 2020 – 31 December 2022

Tasmania

2 March 2020 – 31 December 2022

Australian Capital Territory

12 March 2020 – 31 December 2022

Northern Territory

21 February 2020 – 31 December 2022

Source: AIHW COVID-19 Register (version 2.6)

Existing reports on the impact of COVID‑19 in Australia have focused on how many ‘cases’ there are in the community, rather than how many individual ‘people’ have been diagnosed with COVID‑19 (Department of Health and Aged Care 2024). The Register allows for each person in Australia to have a unique record in the data and distinguishes if that person has had subsequent SARS-CoV-2 infections over time.

Considerations for interpreting report findings

Due to data quality and data availability in Version 2.6 of the COVID-19 Register, there are several important considerations to note when interpreting information presented in this report.

  • Some COVID-19 cases may not have been identified (not tested) or reported to the notifiable diseases’ register (for example, positive rapid antigen tests not reported to public health units). A separate study by the Australian COVID-19 Serosurveillance Network estimates that by December 2022, more than two-thirds of the adult population had been infected with SARS CoV-2, virtually all subsequent to the appearance of the Omicron variant in late 2021 (Australian COVID-19 Serosurveillance Network, 2023).
  • The Register contains notification data for all states/territories (except Western Australia) up to 31 December 2022 as mandatory reporting ceased in late 2022.
  • There may be some overlap in reporting where people have a notification of COVID reported in a state or territory which is different from their usual place of residence.
  • Different state and territory jurisdictions may also have different testing and reporting requirements based on their public health orders.
  • There may be potential confounding effects that also contribute to health outcomes including other illnesses and comorbidities, or how the eligibility for vaccination was prioritised for those with higher risk of severe disease. This report is descriptive in nature and does not warrant evidence to infer causation.
  • Analysis of hospitalisations among the COVID-19 case cohort during the Omicron period is limited due to data availability as hospitalisations data for 2022-23 will not become available until COVID-19 data is included in the National Health Data Hub (NHDH).
  • WA and NT hospitalisations data are not included in the linked COVID-19 Register.
  • COVID-19 antivirals were made available through PBS from March 2022 and eligibility criteria for antivirals changed throughout 2022.
  • Confidence intervals (at 95% level) were added to selected figures and data tables where rates of COVID-19 related hospitalisation and deaths were examined. This is supplementary information for times where such rates in this report may be interpreted as risk of health outcomes rather than observed values. See Australia’s health - Glossary for the definition of confidence intervals.

At the time of writing, the Register was in the process of being integrated into the National Health Data Hub (NHDH). As the NHDH is an enduring linked dataset, COVID-19 notifications data (from January 2020 up to December 2022) in the NHDH will allow examination of health outcomes and health service utilisation following a COVID-19 diagnosis for longer periods than was possible for this report.

Identifying people with COVID-19

The COVID-19 cohort was created from unique linked COVID-19 notification data received from 7 participating states and territories (excluding Western Australia) in the National Notifiable Diseases Surveillance System (NNDSS), and a small subset of cases (n=509) from the National Death Index (NDI) who were identified as having died from COVID-19 but not recorded in the COVID-19 notification data.

Defining COVID-19 diagnoses (or infections)

The term COVID-19 ‘diagnosis’ in this report refers to people with at least one COVID-19 notification reported to state and territory notifiable disease registers. It includes people diagnosed using nucleic acid amplification testing (for example, reverse transcription polymerase chain reaction) or Rapid Antigen Tests. It is important to note that the number of cases of COVID-19 in notifications data will always be an underestimation of the true infection and case rates in the community as some people will not have symptoms, may not seek medical attention or be tested if they are symptomatic.

As people may have diagnoses from different sources and in some cases, conflicting information about whether they have a confirmed COVID-19 diagnosis, the Communicable Diseases Network Australia (CDNA) Series of National Guidelines (SoNGs) definitions (Department of Health and Aged Care 2024a) and the NNDSS variable ‘confirmation status’ was used to exclude cases.

The following criteria was applied to define the COVID-19 case cohort:

  • For notifications between 25 January 2020 and 14 December 2021 (pre-Omicron wave), only those with a ‘confirmed’ COVID-19 diagnosis were included.
  • For cases between 15 December 2021 and 31 December 2022 (Omicron wave), those identified as ‘probable’ or ‘confirmed’ were included as the Rapid Antigen Test (RAT) was approved for diagnosing COVID-19 during this period (COVID-19 Epidemiology and Surveillance Team 2024).
  • Notifications with a ‘historic’ designation were excluded. These notifications were originally recorded as a COVID-19 case but later removed due to negative results in follow-up testing (Department of Health and Aged Care 2024b).

Subsequent notified infections (reinfections)

A subsequent notified COVID-19 infection (or reinfection) is defined in this report as more than 90 days between two positive tests in accordance with international studies (CDC 2023, Stein C et al. 2023, Yahav D et al. 2021).

Australia’s surveillance definition of subsequent COVID-19 infections changed over time due to changes in available evidence (Department of Health and Aged Care 2022, APH 2022, NSW Health 2022). Before 8 July 2022, this was a positive COVID-19 test that occurred more than 90 days (or 12 weeks) after an initial diagnosis. From 9 July 2022 to 14 October 2022, this changed to a positive COVID-19 test occurring at least 28 days since isolation ended, and from 14 October 2022 it changed to a positive COVID-19 test occurring at least 35 days after a previous positive test.

For this report, the 90-day difference definition was used for all time periods. A sensitivity analysis found that the number of COVID-19 cases did not differ significantly by applying different reinfection definitions.

Age group

A person’s age was based on their estimated age as at 31 December 2022 or their recorded age at death.

  • For people who were alive between January 2020 and December 2022:
    • date of birth was derived from the month and year of birth in the Medicare Consumers Directory (MCD), with the 15th of the month assigned to all people to ensure consistency. Age was calculated as the difference between derived date of birth and 31 December 2022
    • if date of birth is missing in the MCD, their age in the NNDSS was used as this was the age at which they tested positive for COVID-19 (as reported to the health authority).
  • For people who died between January 2020 and December 2022, their age would instead be age at death, which was derived by using date of death in mortality data and date of birth from the MCD.

Less than 1% of the cohort were missing age or age at death after deriving from the MCD and NNDSS. See the footnotes in the Data tables for information on whether people with missing ages were included or excluded in the analysis.

Sex

The MCD was used as the primary data for determining sex. If sex was missing in the MCD, sex recorded in the Australian Immunisation Register (AIR) was used followed by the NNDSS. Overall, less than 1% of the COVID-19 cohort were missing sex details.

Response categories of ‘not stated’ and ‘undetermined’ and were designated as ‘missing’.

State/territory of usual residence

State/territory of usual residence was derived from the Statistical Area level 2 (SA2) from the MCD. This information was available for the vast majority of the COVID-19 cohort.

For the small proportion where SA2 information was missing in the MCD, it was imputed from records in AIR or from state and territory case notifications. SA2 is a small area unit within the ABS’ Australian Statistical Geography Standard (ASGS) where the SA2 for each record was mapped to its relevant state/territory (ABS 2021a).

In this report, state/territory of usual residence is not limited to the 7 participating states/territories who provided the COVID-19 notifications data, as some cases were notified through a different jurisdiction to their usual residence.

Remoteness area

Remoteness area was classified using the Australian Statistical Geography Standard (ASGS) Remoteness Structure 2021 which defines remoteness areas as Major cities, Inner regional, Outer regional, Remote, and Very remote. Remoteness areas are centred on the Accessibility/Remoteness Index of Australia, which is based on distances people have to travel for services (ABS 2021b). More information on the remoteness structure can be found on the ABS website.

For this report, SA2s of a person’s usual residence taken from the MCD, AIR or State and territory notifiable disease databases were assigned to one remoteness category based on the largest percentage of population distribution as of June 2021.

Socioeconomic groups

Socioeconomic groups were classified using the ABS Index of Relative Socioeconomic Disadvantage (IRSD) 2021. The IRSD is a geographic based measure based on social and economic characteristics of a given area (ABS 2023). The IRSD classifies individuals according to the socioeconomic characteristics of the area in which they live. It scores each area by summarising attributes of the population, such as low income, low educational attainment, high unemployment and jobs in relatively unskilled occupations. More information can be found on the ABS website.

IRSD reflects the overall or average level of disadvantage of the population of an area; it does not show how individuals living in the same area differ from each other in their socioeconomic position. Inequality estimates based on area-level measures of socioeconomic position underestimate inequalities because of the variation in socioeconomic position within areas (Mather et al. 2014).

For this report, SA2s of a person’s usual residence taken from the MCD, AIR or State and territory notifiable disease databases were assigned their IRSD using a correspondence table, and the population was then divided into 5 socioeconomic areas (containing around 20% of the population in each), based on the level of disadvantage of the statistical local area of their residence. The population living in the 20% of areas with the greatest overall level of disadvantage was described as the ‘lowest socioeconomic group’. The 20% at the other end of the scale – the top fifth – was described as the ‘highest socioeconomic group.

Population estimates based on data from the 2021 Census of Population and Housing showed that in 2021, there was a lower proportion of people aged 85 and over living in Remote and Very remote areas (Table A2).

Table A2: Australian population by remoteness area and socioeconomic group, aged 85 and over in 2021

Remoteness area/ Socioeconomic group

Percentage of people aged 85 and over

Major cities

2.0

Inner regional Australia

2.5

Outer regional Australia

2.1

Remote and very remote

1.0

Socioeconomic quintile 1 (lowest)

2.1

Socioeconomic quintile 2

2.3

Socioeconomic quintile 3

2.0

Socioeconomic quintile 4

1.9

Socioeconomic quintile 5 (highest)

2.1

Source: AIHW analysis of Australian Bureau of Statistics data.

Australian Estimated Resident Population

The Estimated Resident Population (ERP) from the Australian Bureau of Statistics (ABS) is the official measure of the Australian population and contains estimates of the usual resident population of Australia. The ERP includes all people, regardless of nationality or citizenship, who usually live in Australia (except for foreign diplomatic personnel and their families). More information is available from the ABS website.

Age- and sex-specific ERP data were used as denominators to derive COVID-19 diagnosis rates or proportions where relevant (see downloadable data tables). The percentage of the estimated resident population with a COVID-19 diagnosis is based on the number of people with a reported COVID-19 diagnosis and residing in NSW, Vic, Qld, SA, Tas, NT and ACT divided by the ABS ERP as at 30 June 2021 or 30 June 2022 for these jurisdictions, depending on the COVID-19 wave being analysed. For the full cohort, ERP as at 30 June 2022 is used. A small number of people may be included in the counts of diagnosis but not the denominator due to a COVID-19 notification from a participating state or territory, but whose state/territory of usual residence is in another jurisdiction.

Similarly, age and sex-specific proportions were calculated for each ASGS remoteness area and IRSD quintile using the ABS ERP as at 30 June 2021, or 30 June 2022 for these jurisdictions, depending on the COVID-19 wave being analysed.

Hospitalisations

Data source and coverage

The COVID-19 Register contains data from the National Hospital Morbidity Database (NHMD). Version 2.6 of the COVID-19 Register includes admitted patient data from 25 January 2020 to 30 June 2022.

In this report, the following hospital admissions were excluded:

  • Patients with a usual state of residence of Western Australia or the Northern Territory, as the NHMD does not have data from these jurisdictions.
  • Same day hospitalisations (that is, admitted and separated on the same date)
  • Specific episode care types including: 7.3 (newborn with unqualified days only), 9 (organ procurement) and 10 (hospital boarder).

COVID-19 related hospitalisation definition

In this report, a standardised definition was used to report COVID-19 related hospitalisations. Hospital admissions that are related in time to a COVID-19 diagnosis will initially be identified and further classified according to ICD-10-AM diagnosis codes recorded in any diagnosis field. Time related hospitalisation is defined as a hospitalisation:

  • with a first COVID-19 diagnosis up to 14 days before or 2 days after the hospital admission date, and
  • that was not admitted and discharged on the same day to capture admissions related to more severe disease.

A COVID-19 related hospitalisation also had to have COVID-19 recorded in the hospital record (with ICD-10-AM code of U07.1 or U07.2 in any diagnosis field) (Figure A2). A COVID-19 related hospitalisation could be having COVID-19 as a principal diagnosis or an additional diagnosis.

Figure A2: Identification of a COVID-19 related hospitalisation

Diagram shows 14 days before and 2 days after the hospital admission date, the period within which a first COVID-19 diagnosis has to happen to be defined as a COVID-19 related hospitalisation.

For the analysis, hospitalisations were created from individual separations. For instance, if a person had multiple separations and the separation and subsequent admission dates were within one day of each another, then they were counted as one hospitalisation. This was to ensure a more accurate alignment of a hospitalisation related in time to a COVID-19 diagnosis. The length of hospital stay was calculated based on the difference between the admission and separation dates.

A first COVID-19 diagnosis had to occur between 15 December 2021 and 1 July 2022 as this end date is the last possible notification date that meets the definition of a COVID-19 related hospitalisation. The small number of hospitalisations related to reinfections were excluded in order to account for the effect of infection-induced immunity on health outcomes. The timeframe used to define a COVID-19 related hospitalisation is based on existing literature and in consultation with National Centre for Immunisation Research and Surveillance (NCIRS) (NSW Government 2023, Stowe et al. 2022).

Using the methodology mentioned above, there were about 30% of COVID-19 related hospitalisations (or close to 35,000) with a COVID-19 code and an acute respiratory code (ICD-10-AM codes J00 to J22) in any diagnosis field (see Table A3).

Table A3: Identification of COVID-19 related hospitalisations during the Omicron wave (up to 1 July 2022)

Diagnosis code for hospitalisation

Number of people with COVID-19

Total people with COVID-19 in scope for hospitalisation analysis

6,200,968

No time related hospital admission

6,075,406

Time related hospital admission with a COVID-19 code (COVID-19 related hospitalisation) in any diagnosis field

114,777

Number given an acute respiratory code (J00-J22) in any diagnosis field

34,940

Number without an acute respiratory code (J00-J22) in any diagnosis field

79,837

Time related hospital admission without a COVID-19 code

10,785

Number given an acute respiratory code (J00-J22) in any diagnosis field

836

Number without an acute respiratory code (J00-J22) in any diagnosis field

9,949

Total time related COVID-19 hospitalisations

125,562

Note: This analysis is based on people who had their first reported COVID-19 diagnosis during the Omicron wave. Hospitalisations that occur after subsequent diagnoses for the same person are excluded.

Source: AIHW COVID-19 Register (version 2.6)

Severe and/or fatal hospital outcomes

Severe and/or fatal hospital outcomes were defined as any of the following during the hospital admission:

  • having an intensive care unit (ICU) stay
  • involving continuous ventilatory support (CVS)
  • died in hospital (as recorded by a separation mode of 8 or 80 in the NHMD).

These categories are not mutually exclusive. For example, a person who had an ICU stay and then died in hospital would appear in both categories.

Deaths

The COVID-19 Register contains deaths data from the National Death Index (NDI). Version 2.6 of the COVID-19 Register includes NDI data from 25 January 2020 to 31 December 2022.

It is important to note that the number of COVID-19 deaths reported in the COVID-19 Register may differ from those reported by the Australian Bureau of Statistics and state and territory health departments due to the nature of probabilistic linkage and differing definitions used.

Classifying causes of death

Causes of death are documented on death certificates by medical practitioners or coroners and coded by the Australian Bureau of Statistics (ABS) using the World Health Organization (WHO) International Statistical Classification of Diseases and Related Health Problems, 10th revision (ICD-10).

Underlying cause of death is the disease or injury that initiated the train of events leading directly to death, or the circumstances of the accident or violence that produced the fatal injury. Dying ‘from’ a cause refers to having the condition as the underlying cause.

Most deaths, however, result from more than one contributing disease or condition.

Associated causes of death are all causes involved in the death, other than the underlying cause of death. They include the immediate (or terminal) cause (the condition that occurred immediately before death or closest to the time of death), any intervening causes, and conditions which contributed to the death but were not related to the disease or condition causing the death. Analyses using associated causes of death offer insight into the disease processes occurring at the end of life or, for injury causes of death, the nature of the injury. Dying ‘with’ a cause refers to having the condition as an associated cause of death.

See also Life expectancy & deaths - Glossary and Australia’s health - Glossary.

Deaths due to or with COVID-19

This report aligns ICD-10 code inclusion for dying with, or due to, COVID-19 with other mortality analyses, including the ABS COVID-19 Mortality in Australia: Deaths registered until 31 January 2024.

Deaths due to COVID-19 refers to deaths with COVID-19 as an underlying cause of death, meaning COVID-19 initiated the sequence of events resulting in death. These deaths have an underlying cause of death recorded in the NDI as U07.1 COVID-19 virus identified; U07.2 COVID-19, virus not identified; or U10.9 Multisystem inflammatory syndrome associated with COVID-19.

Deaths with COVID-19 refers to deaths with COVID-19 as an associated cause of death, meaning COVID-19 contributed to the death but was not the underlying cause. These deaths have an associated cause of death recorded in the NDI as U07.1 COVID-19 virus identified; U07.2 COVID-19, virus not identified; or U09.9 Post COVID-19 condition, unspecified.

Deaths due to or with COVID-19 include those that occurred after a reported COVID-19 diagnosis, regardless of time period, or up to 21 days prior to diagnosis.

Case Fatality Rate

The case fatality rate refers to the number of deaths due to COVID-19 divided by the number of people diagnosed with COVID-19 expressed as a percentage.

Timeliness and completeness of deaths data

Cause of death information in the NDI is subject to a revisions process. Cause of death data in this report is final for 2020, revised for 2021, and preliminary revised for 2022. Cause of death information for people who died in 2023 was not available at the time of analysis. These deaths are excluded in the analysis of people who died with or due to COVID-19. For more information on the revisions process, coverage and how deaths data are processed, see ABS Causes of death, Australia, Methodology: Data quality - Revisions process and ABS Causes of Death, Australia methodology.

COVID-19 antiviral prescriptions

Eligibility and access

COVID-19 oral antiviral treatments, Lagevrio® (molnupiravir) and Paxlovid® (nirmatrelvir and ritonavir), were approved by the Australian government for use from January 2022 and made available for selected populations through the Pharmaceutical Benefits Scheme (PBS) from March 2022 (Pharmaceutical Benefits Scheme 2024a, 2024b). COVID-19 antivirals are generally recommended to be taken within 5 days of symptoms starting or testing positive for COVID-19 (Department of Health and Aged Care 2024a).

It should be noted that the eligibility criteria for COVID-19 antivirals have been set up to provide access for people who are vulnerable to severe disease and have broadened over time. Eligible individuals include older Australians and people with specified risk factors, people who are moderately to severely immunocompromised, or people with history of previously being hospitalised for COVID-19 (Pharmaceutical Benefits Scheme 2024c and 2024d).

Table A4 shows the eligibility criteria for COVID-19 antivirals and how they have broadened over time.

Table A4: COVID-19 antivirals eligibility criteria under the PBS

Changes to eligibility criteria

Age (years) and/or risk

Moderately to severely immuno-compromised patients

Aboriginal or Torres Strait Islander (First Nations) people

Eligibility criteria at initial PBS listing

65 to 74 with 2 risk factors; or

>=75 with one risk factor

No age criteria

>= 50 years with 2 risk factors

Expanded criteria from 11 July 2022

50 to 69 with 2 risk factors; or

>=70

>=18

>=30 with 2 risk factors

Expanded criteria from 1 November 2022

50 to 69 with 2 risk factors; or

>=70

>=18

>=30 with one risk factor

Expanded criteria from 1 January 2023

50 to 69 with 2 risk factors (or previously hospitalised for COVID-19); or

>=70

>=18

>=30 with one risk factor (or previously hospitalised for COVID-19)

Expanded criteria (for Paxlovid only) from 1 April 2023

18 to 49 and previously hospitalised for COVID-19; or

50 to 59 with 2 risk factors (or previously hospitalised for COVID-19); or

60 to 69 with one risk factor (or previously hospitalised for COVID-19); or

>=70

>=18

>=30 with one risk factor (or previously hospitalised for COVID-19)

Expanded criteria (for Paxlovid only) from 1 July 2023

18 to 49 and previously hospitalised for COVID-19; or

50 to 69 years with one risk factor (or previously hospitalised for COVID-19); or

>=70

>=18

>=30 with one risk factor (or previously hospitalised for COVID-19)

Criteria from 1 March 2024

18 to 49 and previously hospitalised for COVID-19; or

50 to 69 with 2 risk factors (or previously hospitalised for COVID-19); or

>=70
>=18>=30 with one risk factor (or previously hospitalised for COVID-19)

Source: Schedule of Pharmaceutical Benefits

COVID-19 antivirals are generally not recommended for those aged under 18 (Pharmaceutical Benefits Scheme 2024c). However it should be noted that individuals aged under 18 may be prescribed antivirals under exceptional circumstances according to guidelines from some jurisdictions (Children’s Health Queensland 2023, Perth’s Children Hospital 2023, SA Health 2024, The Royal Children’s Hospital Melbourne 2022).

Antiviral data source and coverage

COVID-19 antiviral data in this report were drawn from records of prescriptions dispensed under the PBS in the COVID-19 Register, where either the:

  • Australian Government paid a subsidy
  • prescription was dispensed at a price less than the relevant patient co-payment (under co-payment prescriptions) and did not attract a subsidy.

PBS data covers all COVID-19 antiviral prescriptions dispensed by approved suppliers, including community pharmacies, public and private hospital pharmacies and dispensing doctors, but does not cover:

  • private prescriptions
  • medicines supplied to admitted patients in public hospitals (prescriptions to patients on discharge and non-admitted patients in all states and territories are in scope, except for New South Wales and the Australian Capital Territory)
  • medicines dispensed through alternative arrangements where the patient cannot be identified, such as direct supply to Aboriginal health services, are excluded.

Provision of some medicines may be under-represented in remote areas, particularly in the Northern Territory, where there are a high proportion of First Nations people who access medicines through Aboriginal health services.

Identifying people who were prescribed COVID-19 antivirals

In this report, a person with COVID-19 was considered to have been prescribed COVID-19 antivirals if they were supplied within 3 days before diagnosis of COVID-19 and up to 14 days after diagnosis (Figure A3).

If a person had repeated COVID-19 infections (more than 90 days between two positive tests), prescriptions of antivirals were examined for each infection.

Figure A3: Timeframes for prescribing of COVID-19 antivirals

Diagram shows 3 days before and 14 days after the COVID-19 diagnosis, the period within which a person with antiviral prescription is considered to have taken COVID-19 antivirals for that infection.

The following considerations were used for the above definition:

  • antivirals supplied a few days before the diagnosis date accounted for any possible delay in COVID-19 notifications or delay in supply of antivirals (as compared to the actual prescribed date)
  • antivirals are generally commenced within 5 days of symptoms starting or testing positive for COVID-19 and taken for a course of 5 days (Pharmaceutical Benefits Scheme 2024c and 2024d)
  • the median incubation period for SARS-CoV-2 circulating in the time period covered in this report is 5 to 7 days, with a range of 1 to 14 days (Department of Health and Aged Care 2024b)

The analysis on COVID-19 antivirals considers individuals with COVID-19 notification dates from 16 February 2022 to 31 December 2022. This is due to COVID-19 antivirals only being made available through PBS from 2 March 2022 onwards, and because it was possible for an individual to be diagnosed with COVID-19 in mid-late February 2022 to be prescribed antivirals in March 2022 based on the above definition.

COVID-19 vaccination

COVID-19 vaccine recommendations

The COVID-19 vaccination program began as a staged rollout in February 2021 and are free to all people in Australia, including those without a Medicare card. By February 2023, over 95% of Australians aged 16 and over had received at least 2 doses and more than 70% had received 3 doses. About 45% of the eligible population (aged 30 over) had received a fourth dose (Department of Health and Aged Care 2023a).

The rollout was carried out in phases and might have differed across states and territories, as vaccines were allocated based on the proportion of the eligible population in the state or territory and vaccine supply (Australia National Audit Office (ANAO) 2022). Figure A4 below shows key phases of the COVID-19 vaccination rollout which started from February 2021.

Figure A4: Key phases of the COVID-19 vaccination rollout between 2020 and 2022

See extended description following this image.

Note: This figure is a schematic representation of key phases of the COVID-19 vaccination rollout. It does not include all Australian Government advice and recommendations at each key phase.

Source: ANAO 2022, National Centre for Immunisation Research and Surveillance (NCIRS) 2024, Department of Health and Aged Care 2022.

It should be noted that the COVID-19 vaccination program and recommendations were dynamic and have evolved over time. For more information on how the COVID-19 vaccination program has changed over time, see Immunisation and vaccination and ATAGI COVID-19 pandemic statements.

As at May 2024, COVID-19 vaccination is recommended for:

  • all people aged 18 years and older
  • children aged 6 months to less than 18 years with medical conditions that may increase their risk of severe disease or death due to COVID-19.

Most people require 1 dose for their primary course. However, people with severe immunocompromising conditions are recommended 2 primary doses and can consider a 3rd. Further doses every 6 or 12 months are recommended, or can be considered, based on an individual’s age and presence of risk factors for severe disease (Department of Health and Aged Care 2024b).

COVID-19 vaccination data source and coverage

The data on COVID-19 vaccination status in this report was based on data from the Australian Immunisation Register (AIR) in the COVID-19 Register. The AIR is a national register that records vaccines given to all people in Australia, including people enrolled in Medicare or people who had a vaccination record transferred from recognised vaccination providers (such as a general practitioner or community health centre).

COVID-19 vaccination status

This report considered COVID-19 vaccination status based on the total number of COVID-19 vaccination doses recorded 14 days or more prior to a COVID-19 diagnosis. This is to account for a vaccination taking 14 days to become effective, based on studies showing that a single dose of vaccine offers some protection around 2 weeks after vaccination (Polack P F et al. 2020, Folegatti M P et al. 2020, Kalimuddin S et al. 2021, Vasileiou E et al. 2021).

Time since last vaccine dose before a hospitalisation or death was also explored in this report. Vaccine effectiveness has been shown to be lower at 6 months from primary dose and at 9 months from booster doses (Menegale F et al. 2023).