Evidence map›Paper›PMID 34778006›Full record

ArticleMaterials today. Proceedings2022

Computational fluid dynamics-based disease transmission modeling of SARS-CoV-2 Intensive Care Unit.

Shivam Prajapati, Nishi Mehta, Aviral Chharia, Yogesh Upadhyay

Abstract read
In one paragraph

Article in Materials today. Proceedings, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Review
  3. 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

4 authors.

Shivam PrajapatiDepartment of Mechanical Engineering, National Institute of Technology, Agartala, TR 799046, India.
Nishi MehtaMechanical Engineering Department, Sardar Vallabhbhai National Institute of Technology, Surat, GJ 395007, India.
Aviral ChhariaMechanical Engineering Department, Thapar Institute of Engineering and Technology, Patiala, PB 147004, India.
Yogesh UpadhyayDepartment of Mechanical Engineering, Zakir Husain College of Engineering & Technology, AMU, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Covid-19 has become one of the most severe diseases causing acute respiratory problems and has killed millions of people worldwide. It was declared as the ongoing pandemic by the World Health Organization. It is an infectious virus which can be transmitted by sneezing, coughing and exhalation of air by any infected person. There are certain places having high chances of becoming contaminated like hospital rooms. In this context, we studied the transmission of Covid-19 particles in an ICU room. We have considered the combined effect of both of air-conditioning (AC) and ceiling fan in the room. The infected person can transmit the disease when under influence of fan and AC. The work highlights the flow of aerosol particles considering the combined effect as well as the individual effects of fan and AC. The results also emphasized that the aerosol particle flow have a promising application in sanitizing the room.

Indexed as

AerosolCFDCOVID-19HVAC

Identifiers

PMID34778006
PMCPMC8577579

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.