Evidence map›Paper›PMID 35102216›Full record

ArticleScientific reports2022

Strategies for COVID-19 vaccination under a shortage scenario: a geo-stochastic modelling approach.

N L Barreiro, C I Ventura, T Govezensky, M Núñez, P G Bolcatto, R A Barrio

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
1.9field-weighted citation impact, top 16% 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

7 citing papers in PubMed, 15 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

6 authors at 3 institutions in 2 countries.

N L BarreiroInstituto de Investigaciones Científicas y Técnicas para la Defensa (CITEDEF), 1603, Buenos Aires, Argentina. nadus.barreiro@gmail.com.
C I Ventura(CONICET) Centro Atómico Bariloche-CNEA, and Universidad Nacional de Río Negro, 8400, Bariloche, Argentina.
T GovezenskyInstituto de Investigaciones Biomédicas, Universidad Nacional Autónoma de México, 04510, Mexico City, Mexico.
M NúñezConsejo Nacional de Investigaciones Científicas y Técnicas (CONICET), Buenos Aires, Argentina.
P G BolcattoInstituto de Investigaciones Científicas y Técnicas para la Defensa (CITEDEF), 1603, Buenos Aires, Argentina.
R A BarrioInstituto de Física, Universidad Nacional Autónoma de México, Apartado Postal 20-365, 04510, Mexico City, Mexico.ORCID 0000-0003-0987-0785
Consejo Nacional de Investigaciones Científicas y Técnicas · ARUniversidad Nacional Autónoma de México · MXInstitute of Scientific and Technical Research for Defense · AR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In a world being hit by waves of COVID-19, vaccination is a light on the horizon. However, the roll-out of vaccination strategies and their influence on the pandemic are still open questions. In order to compare the effect of various strategies proposed by the World Health Organization and other authorities, a previously developed SEIRS stochastic model of geographical spreading of the virus is extended by adding a compartment for vaccinated people. The parameters of the model were fitted to describe the pandemic evolution in Argentina, Mexico and Spain to analyze the effect of the proposed vaccination strategies. The mobility parameters allow to simulate different social behaviors (e.g. lock-down interventions). Schemes in which vaccines are applied homogeneously in all the country, or limited to the most densely-populated areas, are simulated and compared. The second strategy is found to be more effective. Moreover, under the current global shortage of vaccines, it should be remarked that immunization is enhanced when mobility is reduced. Additionally, repetition of vaccination campaigns should be timed considering the immunity lapse of the vaccinated (and recovered) people. Finally, the model is extended to include the effect of isolation of detected positive cases, shown to be important to reduce infections.

Indexed as

Health Services AccessibilityModels, StatisticalArgentinaCOVID-19COVID-19 VaccinesHumansImmunization ProgramsMexicoPandemicsSARS-CoV-2Social BehaviorSpainStochastic ProcessesTravelVaccinationCOVID-19 Vaccines

Identifiers

PMID35102216
PMCPMC8803887
OpenAlexW3154748858

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.