Evidence map›Paper›PMID 34124240›Full record

ArticleBioMed research international2021

Modelling the Transmission Dynamics of COVID-19 in Six High-Burden Countries.

Azizur Rahman, Md Abdul Kuddus

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

21 citing papers in PubMed, 37 citations in OpenAlex.

  1. Article
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  6. A Mechanistic Model for Long COVID Dynamics.Mathematics (Basel, Switzerland) · 2023
    Article
  7. Article
  8. Article
  9. Article
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  11. Article
  12. Experiences of Birth during COVID-19 Pandemic in Italy and Spain: A Thematic Analysis.International journal of environmental research and public health · 2022
    Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Risk of COVID-19 Infection in Public Transportation: The Development of a Model.International journal of environmental research and public health · 2021
    Article
  18. Article
  19. Review
  20. 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 at 2 institutions in 2 countries.

Azizur RahmanData Science Research Unit, School of Computing and Mathematics, Charles Sturt University, Wagga Wagga, NSW 2678, Australia.ORCID https://orcid.org/0000-0002-7670-5192
Md Abdul KuddusAustralian Institute of Tropical Health and Medicine, James Cook University, Townsville, QLD 4810, Australia.ORCID https://orcid.org/0000-0003-1569-9523
Australian Institute of Tropical Health and Medicine · AUCharles Sturt University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The new Coronavirus Disease 19, officially known as COVID-19, originated in China in 2019 and has since spread worldwide. We presented an age-structured Susceptible-Latent-Mild-Critical-Removed (SLMCR) compartmental model of COVID-19 disease transmission with nonlinear incidence during the pandemic period. We provided the model calibration to estimate parameters with day-wise COVID-19 data, i.e., reported cases by worldometer from 15

Indexed as

Models, StatisticalPandemicsAdolescentAdultAgedAged, 80 and overAge FactorsAustraliaCanadaChildChild, PreschoolComputer SimulationCOVID-19FemaleHumansIncidence

Identifiers

PMID34124240
PMCPMC8172286
OpenAlexW3018293801

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.