Evidence map›Paper›PMID 33925650›Full record

ArticleVaccines2021

Targeted COVID-19 Vaccination (TAV-COVID) Considering Limited Vaccination Capacities-An Agent-Based Modeling Evaluation.

Beate Jahn, Gaby Sroczynski, Martin Bicher, Claire Rippinger, Nikolai Mühlberger, Júlia Santamaria, Christoph Urach, Michael Schomaker, Igor Stojkov, Daniela Schmid and 12 more

Abstract read
In one paragraph

Article in Vaccines, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. COVID-19 vaccine distribution planning using a congested queuing system-A real case from Australia.Transportation research. Part E, Logistics and transportation review · 2022
    Article
  9. Review
  10. Article
  11. A 5-year look-back at the notification and management of vaccine supply shortages in Germany.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2022
    Article
  12. On the role of data, statistics and decisions in a pandemic.Advances in statistical analysis : AStA : a journal of the German Statistical Society · 2022
    Article
  13. Article
  14. Article
  15. Article
  16. 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

22 authors.

Beate JahnDepartment of Public Health, Health Services Research and Health Technology Assessment, Institute of Public Health, Medical Decision Making and Health Technology Assessment, UMIT-University for Health Sciences, Medical Informatics and Technology, Eduard-Wallnoefer-Zentrum 1, A-6060 Hall in Tirol, Austria.ORCID 0000-0002-6764-6362
Gaby SroczynskiDepartment of Public Health, Health Services Research and Health Technology Assessment, Institute of Public Health, Medical Decision Making and Health Technology Assessment, UMIT-University for Health Sciences, Medical Informatics and Technology, Eduard-Wallnoefer-Zentrum 1, A-6060 Hall in Tirol, Austria.ORCID 0000-0001-5193-0492
Martin Bicherdwh GmbH, dwh Simulation Services, Neustiftgasse 57-59, A-1070 Vienna, Austria.ORCID 0000-0002-1362-6868
Claire Rippingerdwh GmbH, dwh Simulation Services, Neustiftgasse 57-59, A-1070 Vienna, Austria.ORCID 0000-0001-9916-562X
Nikolai MühlbergerDepartment of Public Health, Health Services Research and Health Technology Assessment, Institute of Public Health, Medical Decision Making and Health Technology Assessment, UMIT-University for Health Sciences, Medical Informatics and Technology, Eduard-Wallnoefer-Zentrum 1, A-6060 Hall in Tirol, Austria.ORCID 0000-0002-3054-7766
Júlia SantamariaDepartment of Public Health, Health Services Research and Health Technology Assessment, Institute of Public Health, Medical Decision Making and Health Technology Assessment, UMIT-University for Health Sciences, Medical Informatics and Technology, Eduard-Wallnoefer-Zentrum 1, A-6060 Hall in Tirol, Austria.
Christoph Urachdwh GmbH, dwh Simulation Services, Neustiftgasse 57-59, A-1070 Vienna, Austria.
Michael SchomakerDepartment of Public Health, Health Services Research and Health Technology Assessment, Institute of Public Health, Medical Decision Making and Health Technology Assessment, UMIT-University for Health Sciences, Medical Informatics and Technology, Eduard-Wallnoefer-Zentrum 1, A-6060 Hall in Tirol, Austria.ORCID 0000-0002-8475-0591
Igor StojkovDepartment of Public Health, Health Services Research and Health Technology Assessment, Institute of Public Health, Medical Decision Making and Health Technology Assessment, UMIT-University for Health Sciences, Medical Informatics and Technology, Eduard-Wallnoefer-Zentrum 1, A-6060 Hall in Tirol, Austria.ORCID 0000-0001-6788-7986
Daniela SchmidDivision for Quantitative Methods in Public Health and Health Services Research, Department of Public Health, Health Services Research and Health Technology Assessment, UMIT-University for Health Sciences, Medical Informatics and Technology, Eduard-Wallnoefer-Zentrum 1, A-6060 Hall in Tirol, Austria.ORCID 0000-0001-6210-3118
Günter WeissDepartment of Internal Medicine II, Medical University of Innsbruck, Anichstraße 35, 6020 Innsbruck, Austria.ORCID 0000-0003-0709-2158
Ursula WiedermannCenter of Pathophysiology, Infectiology & Immunology (OEL), Institute of Specific Prophylaxis and Tropical Medicine, Medical University of Vienna, Kinderspitalgasse 15, 1090 Vienna, Austria.ORCID 0000-0002-1302-3223
Monika Redlberger-FritzCenter of Virology, Medical University of Vienna, Kinderspitalgasse 15, 1090 Vienna, Austria.
Christiane DrumlUNESCO Chair on Bioethics, Medical University of Vienna, Waehringerstrasse 25, 1090 Vienna, Austria.
Mirjam KretzschmarJulius Center for Health Sciences and Primary Care, University Medical Center Utrecht, Heidelberglaan 100, 3584CX Utrecht, The Netherlands.ORCID 0000-0002-4394-7697
Maria Paulke-KorinekMinistry of Social Affairs, Health, Care and Consumer Protection, Stubenring 1, 1010 Vienna, Austria.
Herwig OstermannAustrian National Public Health Institute/Gesundheit Österreich GmbH, Stubenring 6, 1010 Vienna, Austria.ORCID 0000-0003-1412-658X
Caroline CzaschAustrian National Public Health Institute/Gesundheit Österreich GmbH, Stubenring 6, 1010 Vienna, Austria.ORCID 0000-0001-7569-1668
Gottfried EndelAustrian Federation of Social Insurances, Kundmanngasse 21, 1030 Vienna, Austria.ORCID 0000-0003-2071-4572
Wolfgang BockDepartment of Mathematics, TU Kaiserslautern, Gottlieb-Daimler-Straße 48, 67663 Kaiserslautern, Germany.ORCID 0000-0002-8400-0416
Nikolas Popperdwh GmbH, dwh Simulation Services, Neustiftgasse 57-59, A-1070 Vienna, Austria.ORCID 0000-0003-4615-2774
Uwe SiebertDepartment of Public Health, Health Services Research and Health Technology Assessment, Institute of Public Health, Medical Decision Making and Health Technology Assessment, UMIT-University for Health Sciences, Medical Informatics and Technology, Eduard-Wallnoefer-Zentrum 1, A-6060 Hall in Tirol, Austria.ORCID 0000-0001-6425-7671

Funding

Austrian Federal Ministry for Digital and Economic Affairs BMDW and handled by the Austrian Research Promotion Agency (FFG) 881665Gordon and Betty Moore Foundation GBMF9634Medical-Scientific Fund of the Mayor of Vienna CoVid002Vienna Science and Technology Fund WWTF COV20-035
6 · The paper itself

Abstract

(1) Background: The Austrian supply of COVID-19 vaccine is limited for now. We aim to provide evidence-based guidance to the authorities in order to minimize COVID-19-related hospitalizations and deaths in Austria. (2) Methods: We used a dynamic agent-based population model to compare different vaccination strategies targeted to the elderly (65 ≥ years), middle aged (45-64 years), younger (15-44 years), vulnerable (risk of severe disease due to comorbidities), and healthcare workers (HCW). First, outcomes were optimized for an initially available vaccine batch for 200,000 individuals. Second, stepwise optimization was performed deriving a prioritization sequence for 2.45 million individuals, maximizing the reduction in total hospitalizations and deaths compared to no vaccination. We considered sterilizing and non-sterilizing immunity, assuming a 70% effectiveness. (3) Results: Maximum reduction of hospitalizations and deaths was achieved by starting vaccination with the elderly and vulnerable followed by middle-aged, HCW, and younger individuals. Optimizations for vaccinating 2.45 million individuals yielded the same prioritization and avoided approximately one third of deaths and hospitalizations. Starting vaccination with HCW leads to slightly smaller reductions but maximizes occupational safety. (4) Conclusion: To minimize COVID-19-related hospitalizations and deaths, our study shows that elderly and vulnerable persons should be prioritized for vaccination until further vaccines are available.

Indexed as

agent-based simulationCOVID-19decision-analytic modelinghealth policy decision makingoptimizationpolicy guidanceprioritizationSARS-CoV-2vaccinationvaccination strategy

Identifiers

PMID33925650
PMCPMC8145290

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.