Evidence map›Paper›PMID 34312473›Full record

ArticleScientific reports2021

A modified age-structured SIR model for COVID-19 type viruses.

Vishaal Ram, Laura P Schaposnik

Abstract read
In one paragraph

Article in Scientific reports, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Article
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  7. On Discretely Structured Growth Models and Their Moments.Bulletin of mathematical biology · 2025
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  17. Optimality of Maximal-Effort Vaccination.Bulletin of mathematical biology · 2023
    Article
  18. Article
  19. Article
  20. Asymptotic Analysis of Optimal Vaccination Policies.Bulletin of mathematical biology · 2023
    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

2 authors.

Vishaal RamMilton High School, Milton, GA, 30004, USA.
Laura P SchaposnikUniversity of Illinois, Chicago, IL, 60607, USA. schapos@uic.edu.

Funding

National Science Foundation 1749013
6 · The paper itself

Abstract

We present a modified age-structured SIR model based on known patterns of social contact and distancing measures within Washington, USA. We find that population age-distribution has a significant effect on disease spread and mortality rate, and contribute to the efficacy of age-specific contact and treatment measures. We consider the effect of relaxing restrictions across less vulnerable age-brackets, comparing results across selected groups of varying population parameters. Moreover, we analyze the mitigating effects of vaccinations and examine the effectiveness of age-targeted distributions. Lastly, we explore how our model can applied to other states to reflect social-distancing policy based on different parameters and metrics.

Indexed as

AdolescentAdultAgedAged, 80 and overAge DistributionAge FactorsChildChild, PreschoolCOVID-19COVID-19 VaccinesHumansInfantMiddle AgedPhysical DistancingSARS-CoV-2Social InteractionCOVID-19 Vaccines

Identifiers

PMID34312473
PMCPMC8313685

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.