Evidence map›Paper›PMID 34123716›Full record

ArticleResults in physics2021

Socio-demographic and health factors drive the epidemic progression and should guide vaccination strategies for best COVID-19 containment.

Rene Markovič, Marko Šterk, Marko Marhl, Matjaž Perc, Marko Gosak

Abstract read
In one paragraph

Article in Results in physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. A novel mathematical model for prioritization of individuals to receive vaccine considering governmental health protocols.The European journal of health economics : HEPAC : health economics in prevention and care · 2023
    Article
  9. Article
  10. Article
  11. Article
  12. Estimation of Total Cost Required in Controlling COVID-19 Outbreaks by Financial Incentives.International journal of environmental research and public health · 2023
    Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Epidemic dynamics on higher-dimensional small world networks.Applied mathematics and computation · 2022
    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

5 authors.

Rene MarkovičFaculty of Natural Sciences and Mathematics, University of Maribor, Maribor, Slovenia.
Marko ŠterkFaculty of Natural Sciences and Mathematics, University of Maribor, Maribor, Slovenia.
Marko MarhlFaculty of Natural Sciences and Mathematics, University of Maribor, Maribor, Slovenia.
Matjaž PercFaculty of Natural Sciences and Mathematics, University of Maribor, Maribor, Slovenia.
Marko GosakFaculty of Natural Sciences and Mathematics, University of Maribor, Maribor, Slovenia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We propose and study an epidemiological model on a social network that takes into account heterogeneity of the population and different vaccination strategies. In particular, we study how the COVID-19 epidemics evolves and how it is contained by different vaccination scenarios by taking into account data showing that older people, as well as individuals with comorbidities and poor metabolic health, and people coming from economically depressed areas with lower quality of life in general, are more likely to develop severe COVID-19 symptoms, and quicker loss of immunity and are therefore more prone to reinfection. Our results reveal that the structure and the spatial arrangement of subpopulations are important epidemiological determinants. In a healthier society the disease spreads more rapidly but the consequences are less disastrous as in a society with more prevalent chronic comorbidities. If individuals with poor health are segregated within one community, the epidemic outcome is less favorable. Moreover, we show that, contrary to currently widely adopted vaccination policies, prioritizing elderly and other higher-risk groups is beneficial only if the supply of vaccine is high. If, however, the vaccination availability is limited, and if the demographic distribution across the social network is homogeneous, better epidemic outcomes are achieved if healthy people are vaccinated first. Only when higher-risk groups are segregated, like in elderly homes, their prioritization will lead to lower COVID-19 related deaths. Accordingly, young and healthy individuals should view vaccine uptake as not only protecting them, but perhaps even more so protecting the more vulnerable socio-demographic groups.

Indexed as

Agent-based simulationCOVID-19Epidemic modelMetabolic diseasePopulation heterogeneitySocial networkSocio-demographic structureVaccination strategy

Identifiers

PMID34123716
PMCPMC8186958

What Socratic 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 Socratic graph.