Evidence map›Paper›PMID 33643473›Full record

ArticleCognitive computation2021

An Agent-Based Modeling of COVID-19: Validation, Analysis, and Recommendations.

Md Salman Shamil, Farhanaz Farheen, Nabil Ibtehaz, Irtesam Mahmud Khan, M Sohel Rahman

Open access · bronzeAbstract read
In one paragraph

Article in Cognitive computation, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed, 3 pooled it
7.5field-weighted citation impact, top 2% 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

37 citing papers in PubMed, 3 syntheses or guidelines pooled it, 94 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Pooled it
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Modeling COVID-19 Transmission Dynamics: A Bibliometric Review.International journal of environmental research and public health · 2022
    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

5 authors at 1 institution in 1 country.

Md Salman ShamilDepartment of CSE, BUET, ECE Building, West Palasi, Dhaka 1205 Bangladesh.
Farhanaz FarheenDepartment of CSE, BUET, ECE Building, West Palasi, Dhaka 1205 Bangladesh.
Nabil IbtehazDepartment of CSE, BUET, ECE Building, West Palasi, Dhaka 1205 Bangladesh.
Irtesam Mahmud KhanDepartment of CSE, BUET, ECE Building, West Palasi, Dhaka 1205 Bangladesh.
M Sohel RahmanDepartment of CSE, BUET, ECE Building, West Palasi, Dhaka 1205 Bangladesh.ORCID 0000-0001-9419-6478
Bangladesh University of Engineering and Technology · BD

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The coronavirus disease 2019 (COVID-19) has resulted in an ongoing pandemic worldwide. Countries have adopted non-pharmaceutical interventions (NPI) to slow down the spread. This study proposes an agent-based model that simulates the spread of COVID-19 among the inhabitants of a city. The agent-based model can be accommodated for any location by integrating parameters specific to the city. The simulation gives the number of total COVID-19 cases. Considering each person as an agent susceptible to COVID-19, the model causes infected individuals to transmit the disease via various actions performed every hour. The model is validated by comparing the simulation to the real data of Ford County, KS, USA. Different interventions, including contact tracing, are applied on a scaled-down version of New York City, USA, and the parameters that lead to a controlled epidemic are determined. Our experiments suggest that contact tracing via smartphones with more than 60% of the population owning a smartphone combined with city-wide lockdown results in the effective reproduction number ( SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at (10.1007/s12559-020-09801-w).

Indexed as

Agent-based modelContact tracingCOVID-19Digital herd immunityInfectious disease

Identifiers

PMID33643473
PMCPMC7893846
OpenAlexW3131101114

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.