Evidence map›Paper›PMID 36090308›Full record

ArticlePhysica A2022

Optimal allocation strategies for prioritized geographical vaccination for Covid-19.

Ikram Ghazal, Abdeljalil Rachadi, Hamid Ez-Zahraouy

Abstract read
In one paragraph

Article in Physica A, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

3 authors.

Ikram GhazalLaboratoire de Matière Condensée et des Sciences Interdisciplinaires (LaMCScI), Unité de recherche labellisée CNRST, Faculté des Sciences, Université Mohammed V de Rabat, B.P. 1014, Morocco.
Abdeljalil RachadiLaboratoire de Matière Condensée et des Sciences Interdisciplinaires (LaMCScI), Unité de recherche labellisée CNRST, Faculté des Sciences, Université Mohammed V de Rabat, B.P. 1014, Morocco.
Hamid Ez-ZahraouyLaboratoire de Matière Condensée et des Sciences Interdisciplinaires (LaMCScI), Unité de recherche labellisée CNRST, Faculté des Sciences, Université Mohammed V de Rabat, B.P. 1014, Morocco.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While SARS-CoV-2 vaccine distribution campaigns are underway across the world communities, these efforts face the challenge of effective distribution of limited supplies. We wonder whether suitable spatial allocation strategies might significantly improve a campaignfls efficacy in averting damaging outcomes. In the context of a limited and intermittent COVID-19 supply, we investigate spatial prioritization strategies based on six metrics using the SLIR compartmental epidemic model. We found that the strategy based on the prevalence of susceptible individuals is optimal especially in early interventions and for intermediate values of vaccination rate. It minimizes the cumulative incidence and consequently averts most infections. Our results suggest also that a better performance is obtained if the single batch allocation is supplemented with one or more updating of the priority list. Moreover, the splitting of supply in two or more batches may significantly improve the optimality of the operation.

Indexed as

COVID-19EpidemicGeographicalLimited supplyPrioritizationSpatialVaccinationVirus

Identifiers

PMID36090308
PMCPMC9446606

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.