Evidence map›Paper›PMID 35260267›Full record

ArticleVaccine2022

Modeling strategies for the allocation of SARS-CoV-2 vaccines in the United States.

Joseph Walker, Prabasaj Paul, Kathleen Dooling, Sara Oliver, Pragati Prasad, Molly Steele, Paul A Gastañaduy, Michael A Johansson, Matthew Biggerstaff, Rachel B Slayton

Open access · greenAbstract read
In one paragraph

Article in Vaccine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

10 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
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  3. Review
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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

10 authors at 1 institution in 1 country.

Joseph WalkerCOVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA, United States. Electronic address: jo.walker@yale.edu.
Prabasaj PaulCOVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Kathleen DoolingCOVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Sara OliverCOVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Pragati PrasadCOVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Molly SteeleCOVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Paul A GastañaduyCOVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Michael A JohanssonCOVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Matthew BiggerstaffCOVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Rachel B SlaytonCOVID-19 Response Team, Centers for Disease Control and Prevention, Atlanta, GA, United States.
Centers for Disease Control and Prevention · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Advisory Committee on Immunization Practices (ACIP) recommended phased allocation of SARS-CoV-2 vaccines in December 2020. To support the development of this guidance, we used a mathematical model of SARS-CoV-2 transmission to evaluate the relative impact of three vaccine allocation strategies on infections, hospitalizations, and deaths. All three strategies initially prioritized healthcare personnel (HCP) for vaccination. Strategies of subsequently prioritizing adults aged ≥65 years, or a combination of essential workers and adults aged ≥75 years, prevented the most deaths. Meanwhile, prioritizing adults with high-risk medical conditions immediately after HCP prevented the most infections. All three strategies prevented a similar fraction of hospitalizations. While no model is capable of fully capturing the complex social dynamics which shape epidemics, exercises such as this one can be a useful way for policy makers to formalize their assumptions and explore the key features of a problem before making decisions.

Indexed as

COVID-19COVID-19 VaccinesAdultAgedHumansImmunizationSARS-CoV-2United StatesVaccinationCOVID-19 VaccinesCOVID-19Mathematical ModelingSARS-CoV-2Vaccines

Identifiers

PMID35260267
PMCPMC8818403
OpenAlexW4210356339

What OpenQuestion holds

Textmetadata
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.