Evidence map›Paper›PMID 35210596›Full record

ArticleNature medicine2022

Modeling comparative cost-effectiveness of SARS-CoV-2 vaccine dose fractionation in India.

Zhanwei Du, Lin Wang, Abhishek Pandey, Wey Wen Lim, Matteo Chinazzi, Ana Pastore Y Piontti, Eric H Y Lau, Peng Wu, Anup Malani, Sarah Cobey and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Nature medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 5 pooled it
4.2field-weighted citation impact, top 4% of its field
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

25 citing papers in PubMed, 5 syntheses or guidelines pooled it, 42 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Pooled it
  5. Pooled it
  6. Trial
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Complex Interplay between Population Immunity and Viral Dynamics.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  14. Observational
  15. Article
  16. Article
  17. Article
  18. Article
  19. Review
  20. 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

11 authors at 7 institutions in 4 countries.

Zhanwei Du *WHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, China.
Lin Wang *Department of Genetics, University of Cambridge, Cambridge, UK.ORCID http://orcid.org/0000-0002-5371-2138
Abhishek PandeyCenter for Infectious Disease Modeling and Analysis, Yale School of Public Health, New Haven, CT, USA.
Wey Wen LimWHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, China.ORCID http://orcid.org/0000-0001-8514-2048
Matteo ChinazziLaboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA, USA.
Ana Pastore Y PionttiLaboratory for the Modeling of Biological and Socio-technical Systems, Northeastern University, Boston, MA, USA.
Eric H Y LauWHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, China.ORCID http://orcid.org/0000-0002-6688-9637
Peng WuWHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, China.ORCID http://orcid.org/0000-0003-1157-9401
Anup MalaniLaw School, University of Chicago, Chicago, IL, USA.ORCID http://orcid.org/0000-0002-2594-5778
Sarah CobeyDepartment of Ecology and Evolutionary Biology, University of Chicago, Chicago, IL, USA.ORCID http://orcid.org/0000-0001-5298-8979
Benjamin J CowlingWHO Collaborating Centre for Infectious Disease Epidemiology and Control, School of Public Health, Li Ka Shing Faculty of Medicine, The University of Hong Kong, Hong Kong Special Administrative Region, Hong Kong, China. bcowling@hku.hk.ORCID http://orcid.org/0000-0002-6297-7154
Hong Kong Science and Technology Parks Corporation · HKNortheastern University · USUniversity of Chicago · USDepartment of Health · CNUniversity of Cambridge · GBUniversity of Hong Kong · HKYale University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Given global Coronavirus Disease 2019 (COVID-19) vaccine shortages and inequity of vaccine distributions, fractionation of vaccine doses might be an effective strategy for reducing public health and economic burden, notwithstanding the emergence of new variants of concern. In this study, we developed a multi-scale model incorporating population-level transmission and individual-level vaccination to estimate the costs of hospitalization and vaccination and the economic benefits of reducing COVID-19 deaths due to dose-fractionation strategies in India. We used large-scale survey data of the willingness to pay together with data of vaccine and hospital admission costs to build the model. We found that fractional doses of vaccines could be an economically viable vaccination strategy compared to alternatives of either full-dose vaccination or no vaccination. Dose-sparing strategies could save a large number of lives, even with the emergence of new variants with higher transmissibility.

Indexed as

COVID-19VaccinesCost-Benefit AnalysisCOVID-19 VaccinesHumansSARS-CoV-2VaccinationCOVID-19 VaccinesVaccines

Identifiers

PMID35210596
PMCPMC9117137
OpenAlexW4213417852

What OpenQuestion holds

Textmetadata
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.