Evidence map›Paper›PMID 34393475›Full record

ReviewArchives of computational methods in engineering : state of the art reviews2022

Merits and Limitations of Mathematical Modeling and Computational Simulations in Mitigation of COVID-19 Pandemic: A Comprehensive Review.

Asif Afzal, C Ahamed Saleel, Suvanjan Bhattacharyya, N Satish, Olusegun David Samuel, Irfan Anjum Badruddin

Abstract readReview
In one paragraph

Review in Archives of computational methods in engineering : state of the art reviews, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

  1. Article
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  3. Article
  4. Review
  5. Article
  6. Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
  14. A Mechanistic Model for Long COVID Dynamics.Mathematics (Basel, Switzerland) · 2023
    Article
  15. Article
  16. A two-phase fluid model for epidemic flow.Infectious Disease Modelling · 2023
    Article
  17. Article
  18. Review
  19. An epidemic-economic model for COVID-19.Mathematical biosciences and engineering : MBE · 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

6 authors.

Asif AfzalDepartment of Mechanical Engineering, P. A. College of Engineering (Affiliated to Visvesvaraya Technological University, Belagavi), Mangaluru, India.ORCID 0000-0003-2961-6186
C Ahamed SaleelDepartment of Mechanical Engineering, College of Engineering, King Khalid University, PO Box 394, Abha, 61421 Kingdom of Saudi Arabia.
Suvanjan BhattacharyyaDepartment of Mechanical Engineering, Birla Institute of Technology and Science Pilani, Pilani Campus, Vidhya Vihar, Rajasthan 333031 India.
N SatishDepartment of Mechanical Engineering, DIET, Vijayawada, India.
Olusegun David SamuelDepartment of Mechanical Engineering, Federal University of Petroleum Resources, PMB 1221, Effurun, Delta State Nigeria.
Irfan Anjum BadruddinDepartment of Mechanical Engineering, College of Engineering, King Khalid University, PO Box 394, Abha, 61421 Kingdom of Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Mathematical models have assisted in describing the transmission and propagation dynamics of various viral diseases like MERS, measles, SARS, and Influenza; while the advanced computational technique is utilized in the epidemiology of viral diseases to examine and estimate the influences of interventions and vaccinations. In March 2020, the World Health Organization (WHO) has declared the COVID-19 as a global pandemic and the rate of morbidity and mortality triggers unprecedented public health crises throughout the world. The mathematical models can assist in improving the interventions, key transmission parameters, public health agencies, and countermeasures to mitigate this pandemic. Besides, the mathematical models were also used to examine the characteristics of epidemiological and the understanding of the complex transmission mechanism. Our literature study found that there were still some challenges in mathematical modeling for the case of ecology, genetics, microbiology, and pathology pose; also, some aspects like political and societal issues and cultural and ethical standards are hard to be characterized. Here, the recent mathematical models about COVID-19 and their prominent features, applications, limitations, and future perspective are discussed and reviewed. This review can assist in further improvement of mathematical models that will consider the current challenges of viral diseases.

Identifiers

PMID34393475
PMCPMC8356220

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.