Evidence map›Paper›PMID 35622717›Full record

ArticleIndoor air2022

Home quarantine: A numerical evaluation of SARS-CoV-2 spread in a single-family house.

Charles-Florian Picard, Louis Cony Renaud Salis, Marc Abadie

Open access · bronzeAbstract read
In one paragraph

Article in Indoor air, 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
1.7field-weighted citation impact, top 15% 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

3 citing papers in PubMed, 12 citations in OpenAlex.

  1. Article
  2. Article
  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

3 authors at 1 institution in 1 country.

Charles-Florian PicardLaSIE UMR CNRS 7356, University of La Rochelle, La Rochelle, France.ORCID 0000-0003-4823-0203
Louis Cony Renaud SalisLaSIE UMR CNRS 7356, University of La Rochelle, La Rochelle, France.ORCID 0000-0002-6695-3993
Marc AbadieLaSIE UMR CNRS 7356, University of La Rochelle, La Rochelle, France.ORCID 0000-0001-7890-4155
Centre National de la Recherche Scientifique · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The worldwide pandemic of SARS-CoV-2 which causes coronavirus disease 2019 (COVID-19) has resulted in first-time responses in recent history as most of affected countries are confining residents to their homes. When sick people are detected, home quarantine is usually recommended because of the lack of available hospital rooms for first-stage symptoms that do not require constant medical monitoring. In this situation, one can thus wonder about the transmission of the disease to other household members. In this paper, we numerically investigate the transport of the aerosol generated by an infected person quarantined to his bedroom to the other rooms in a typical French detached house by performing TRNSYS-CONTAM simulations. The intent here is to assess the exposure concentration to the virus of the other household members when simple strategies are employed to reduce the risk of airborne transmission. Due to the uncertainty regarding the evaluation of different parameters such as the emission of contaminated droplets and the infectivity of the occupants, critical cases have been considered in this study. The main results show that, even if remediation actions lower the exposure of other occupants, the risk of contamination remains high even if the contagious person is quarantined to its bedroom.

Indexed as

Air Pollution, IndoorCOVID-19HumansPandemicsQuarantineSARS-CoV-2COVID-19numerical simulationquarantinesingle-family houseventilation

Identifiers

PMID35622717
PMCPMC9347683
OpenAlexW4280492012

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.