Evidence map›Paper›PMID 36962090›Full record

ArticlePLOS global public health2022

Rural prioritization may increase the impact of COVID-19 vaccines in a representative COVAX AMC country setting due to ongoing internal migration: A modeling study.

Prashanth Selvaraj, Bradley G Wagner, Dennis L Chao, Maïna L'Azou Jackson, J Gabrielle Breugelmans, Nicholas Jackson, Stewart T Chang

Open access · goldFull text read
In one paragraph

Article in PLOS global public health, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 34% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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

7 authors at 2 institutions in 2 countries.

Prashanth SelvarajInstitute for Disease Modeling, Bill and Melinda Gates Foundation, Seattle, Washington, United States of America.ORCID https://orcid.org/0000-0001-7565-2300
Bradley G WagnerInstitute for Disease Modeling, Bill and Melinda Gates Foundation, Seattle, Washington, United States of America.
Dennis L ChaoInstitute for Disease Modeling, Bill and Melinda Gates Foundation, Seattle, Washington, United States of America.ORCID https://orcid.org/0000-0002-8253-6321
Maïna L'Azou JacksonCoalition for Epidemic Preparedness and Innovations, Oslo, Norway.ORCID https://orcid.org/0000-0001-7753-0630
J Gabrielle BreugelmansCoalition for Epidemic Preparedness and Innovations, London, United Kingdom.
Nicholas JacksonCoalition for Epidemic Preparedness and Innovations, London, United Kingdom.
Stewart T ChangInstitute for Disease Modeling, Bill and Melinda Gates Foundation, Seattle, Washington, United States of America.ORCID https://orcid.org/0000-0002-7604-9797
Gates Foundation · USCoalition for Epidemic Preparedness Innovations · NO

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

How COVID-19 vaccine is distributed within low- and middle-income countries has received little attention outside of equity or logistical concerns but may ultimately affect campaign impact in terms of infections, severe cases, or deaths averted. In this study we examined whether subnational (urban-rural) prioritization may affect the cumulative two-year impact on disease transmission and burden of a vaccination campaign using an agent-based model of COVID-19 in a representative COVID-19 Vaccines Global Access (COVAX) Advanced Market Commitment (AMC) setting. We simulated a range of vaccination strategies that differed by urban-rural prioritization, age group prioritization, timing of introduction, and final coverage level. Urban prioritization averted more infections in only a narrow set of scenarios, when internal migration rates were low and vaccination was started by day 30 of an outbreak. Rural prioritization was the optimal strategy for all other scenarios, e.g., with higher internal migration rates or later start dates, due to the presence of a large immunological naive rural population. Among other factors, timing of the vaccination campaign was important to determining maximum impact, and delays as short as 30 days prevented larger campaigns from having the same impact as smaller campaigns that began earlier. The optimal age group for prioritization depended on choice of metric, as prioritizing older adults consistently averted more deaths across all of the scenarios. While guidelines exist for these latter factors, urban-rural allocation is an orthogonal factor that we predict to affect impact and warrants consideration as countries plan the scale-up of their vaccination campaigns.

Identifiers

PMID36962090
PMCPMC10021691
OpenAlexW4210251489

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read79
identifiers read13
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.