Evidence map›Paper›PMID 35342276›Full record

ArticlePhysics of fluids (Woodbury, N.Y. : 1994)2022

The computational fluid dynamics-based epidemic model and the pandemic scenarios.

Talib Dbouk, Dimitris Drikakis

Open access · bronzeAbstract read
In one paragraph

Article in Physics of fluids (Woodbury, N.Y. : 1994), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 38% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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.

Talib DboukIMT Nord Europe, Institut Mines-Télécom, University of Lille, F-59000 Lille, France.ORCID https://orcid.org/0000-0002-9710-4978
Dimitris DrikakisUniversity of Nicosia, Nicosia CY-2417, Cyprus.ORCID https://orcid.org/0000-0002-3300-7669
Institut Mines-Télécom · FRUniversity of Nicosia · CY

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study presents a computational fluid dynamics, susceptible-infected-recovered-based epidemic model that relates weather conditions to airborne virus transmission dynamics. The model considers the relationship between weather seasonality, airborne virus transmission, and pandemic outbreaks. We examine multiple scenarios of the COVID-19 fifth wave in London, United Kingdom, showing the potential peak and the period occurring. The study also shows the importance of fluid dynamics and computational modeling in developing more advanced epidemiological models in the future.

Identifiers

PMID35342276
PMCPMC8939527
OpenAlexW4210684521

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.