Evidence map›Paper›PMID 35421963›Full record

ArticleBMC public health2022

Modelling the potential acute and post-acute burden of COVID-19 under the Australian border re-opening plan.

Mary Rose Angeles, Sithara Wanni Arachchige Dona, Huong Dieu Nguyen, Long Khanh-Dao Le, Martin Hensher

Abstract read
In one paragraph

Article in BMC public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Review
  2. Impact of Long COVID on productivity and informal caregiving.The European journal of health economics : HEPAC : health economics in prevention and care · 2024
    Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. The Clinical Observation of Inflammation Theory for Depression: The Initiative of the Formosa Long COVID Multicenter Study (FOCuS).Clinical psychopharmacology and neuroscience : the official scientific journal of the Korean College of Neuropsychopharmacology · 2023
    Review
  8. Article
  9. COVID-19 Rapid Antigen Tests: Bibliometric Analysis of the Scientific Literature.International journal of environmental research and public health · 2022
    Article
  10. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Mary Rose AngelesInstitute for Health Transformation, Faculty of Health, Deakin University, 221 Burwood highway, Burwood, Victoria, 3125, Australia.
Sithara Wanni Arachchige DonaInstitute for Health Transformation, Faculty of Health, Deakin University, 221 Burwood highway, Burwood, Victoria, 3125, Australia.
Huong Dieu NguyenInstitute for Health Transformation, Faculty of Health, Deakin University, 221 Burwood highway, Burwood, Victoria, 3125, Australia.
Long Khanh-Dao LeInstitute for Health Transformation, Faculty of Health, Deakin University, 221 Burwood highway, Burwood, Victoria, 3125, Australia.
Martin HensherInstitute for Health Transformation, Faculty of Health, Deakin University, 221 Burwood highway, Burwood, Victoria, 3125, Australia. m.c.hensher@utas.edu.au.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundConcerns have grown that post-acute sequelae of COVID-19 may affect significant numbers of survivors. However, the analyses used to guide policy-making for Australia's national and state re-opening plans have not incorporated non-acute illness in their modelling. We, therefore, develop a model by which to estimate the potential acute and post-acute COVID-19 burden using disability-adjusted life years (DALYs) associated with the re-opening of Australian borders and the easing of other public health measures, with particular attention to longer-term, post-acute consequences and the potential impact of permanent functional impairment following COVID-19.

methodsA model was developed based on the European Burden of Disease Network protocol guideline and consensus model to estimate the burden of COVID-19 using DALYs. Data inputs were based on publicly available sources. COVID-19 infection and different scenarios were drawn from the Doherty Institute's modelling report to estimate the likely DALY losses under the Australian national re-opening plan. Long COVID prevalence, post-intensive care syndrome (PICS) and potential permanent functional impairment incidences were drawn from the literature. DALYs were calculated for the following health states: the symptomatic phase, Long COVID, PICS and potential permanent functional impairment (e.g., diabetes, Parkinson's disease, dementia, anxiety disorders, ischemic stroke). Uncertainty and sensitivity analysis were performed to examine the robustness of the results.

resultsMortality was responsible for 72-74% of the total base case COVID-19 burden. Long COVID and post-intensive care syndrome accounted for at least 19 and 3% of the total base case DALYs respectively. When included in the analysis, potential permanent impairment could contribute to 51-55% of total DALYs lost.

conclusionsThe impact of Long COVID and potential long-term post-COVID disabilities could contribute substantially to the COVID-19 burden in Australia's post-vaccination setting. As vaccination coverage increases, the share of COVID-19 burden driven by longer-term morbidity rises relative to mortality. As Australia re-opens, better estimates of the COVID-19 burden can assist with decision-making on pandemic control measures and planning for the healthcare needs of COVID-19 survivors. Our estimates highlight the importance of valuing the morbidity of post-COVID-19 sequelae, above and beyond simple mortality and case statistics.

Indexed as

COVID-19AustraliaCost of IllnessCritical IllnessHumansPost-Acute COVID-19 SyndromeQuality-Adjusted Life YearsAustraliaBurden of diseaseCoronavirusCovid-19DALYDisability-adjusted life yearsLong COVIDPost-acute COVIDPost-COVID

Identifiers

PMID35421963
PMCPMC9009167

What OpenQuestion holds

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LicenceCC BY
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.