Evidence map›Paper›PMID 32837713›Full record

ReviewRendiconti Lincei. Scienze fisiche e naturali2020

Biological fluid dynamics of airborne COVID-19 infection.

Giovanni Seminara, Bruno Carli, Guido Forni, Sandro Fuzzi, Andrea Mazzino, Andrea Rinaldo

Open access · hybridAbstract readReview
In one paragraph

Review in Rendiconti Lincei. Scienze fisiche e naturali, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 2 pooled it
10.0field-weighted citation impact, top 1% 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

32 citing papers in PubMed, 2 syntheses or guidelines pooled it, 96 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Analysis of SARS-CoV-2 Transmission by Airborne Droplets in a Restaurant Outbreak: A CFD Approach.The Canadian journal of infectious diseases & medical microbiology = Journal canadien des maladies infectieuses et de la microbiologie medicale · 2025
    Article
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  9. Review
  10. Puff turbulence in the limit of strong buoyancy.Philosophical transactions. Series A, Mathematical, physical, and engineering sciences · 2022
    Article
  11. Article
  12. Review
  13. An integrated simulation framework for the prevention and mitigation of pandemics caused by airborne pathogens.Network modeling and analysis in health informatics and bioinformatics · 2022
    Article
  14. Review
  15. Article
  16. Review
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  18. Article
  19. Molecular Communication Theoretical Modeling and Analysis of SARS-CoV2 Transmission in Human Respiratory System.IEEE transactions on molecular, biological, and multi-scale communications · 2021
    Article
  20. Review
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 at 4 institutions in 2 countries.

Giovanni SeminaraAccademia Nazionale dei Lincei, Rome, Italy.
Bruno CarliAccademia Nazionale dei Lincei, Rome, Italy.
Guido ForniAccademia Nazionale dei Lincei, Rome, Italy.
Sandro FuzziIstituto di Scienze dell'Atmosfera e del Clima (ISAC), Consiglio Nazionale Delle Ricerche, Rome, Italy.
Andrea MazzinoDipartimento di Ingegneria Civile, Chimica e Ambientale (DICCA), Università di Genova, Genoa, Italy.
Andrea RinaldoAccademia Nazionale dei Lincei, Rome, Italy.ORCID 0000-0002-2546-9548
Accademia Nazionale dei Lincei · ITInstitute of Atmospheric Sciences and Climate · ITIstituto Nazionale di Fisica Nucleare · ITUniversity of Padua · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

abstractWe review the state of knowledge on the bio-fluid dynamic mechanisms involved in the transmission of the infection from SARS-CoV-2. The relevance of the subject stems from the key role of airborne virus transmission by viral particles released by an infected person via coughing, sneezing, speaking or simply breathing. Speech droplets generated by asymptomatic disease carriers are also considered for their viral load and potential for infection. Proper understanding of the mechanics of the complex processes whereby the two-phase flow emitted by an infected individual disperses into the environment would allow us to infer from first principles the practical rules to be imposed on social distancing and on the use of facial and eye protection, which to date have been adopted on a rather empirical basis. These measures need compelling scientific validation. A deeper understanding of the relevant biological fluid dynamics would also allow us to evaluate the contrasting effects of natural or forced ventilation of environments on the transmission of contagion: the risk decreases as the viral load is diluted by mixing effects but contagion is potentially allowed to reach larger distances from the infected source. To that end, our survey supports the view that a formal assessment of a number of open problems is needed. They are outlined in the discussion. GRAPHIC ABSTRACT:

Indexed as

Clouds, jets, puffsCoughing, sneezing, speakingDistancingDropletsNon-pharmaceutical protection measuresRespiratory emissions

Identifiers

PMID32837713
PMCPMC7429142
OpenAlexW3049412541

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.