Evidence map›Paper›PMID 33408231›Full record

ArticlemSphere2021

Monitoring COVID-19 Transmission Risks by Quantitative Real-Time PCR Tracing of Droplets in Hospital and Living Environments.

Andrea Piana, Maria Eugenia Colucci, Federica Valeriani, Adriano Marcolongo, Giovanni Sotgiu, Cesira Pasquarella, Lory Marika Margarucci, Andrea Petrucca, Gianluca Gianfranceschi, Sergio Babudieri and 9 more

Open access · goldAbstract read
In one paragraph

Article in mSphere, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
4.7field-weighted citation impact, top 4% 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

13 citing papers in PubMed, 35 citations in OpenAlex.

  1. Predicting COVID-19 Cases Across a Large University Campus Using Built Environment Surveillance.Journal of the Association of Medical Microbiology and Infectious Disease Canada = Journal officiel de l'Association pour la microbiologie medicale et l'infectiologie Canada · 2024
    Article
  2. Review
  3. A portable system for economical nucleic acid amplification testing.Frontiers in bioengineering and biotechnology · 2023
    Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Feasibility and utility of facemask sampling in the detection of SARS-CoV-2 during an ongoing pandemic.European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology · 2021
    Article
  9. Article
  10. Low risk of SARS-CoV-2 transmission via fomite, even in cold-chain.medRxiv : the preprint server for health sciences · 2021
    Article
  11. Article
  12. Testing at scale during the COVID-19 pandemic.Nature reviews. Genetics · 2021
    Review
  13. 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

19 authors at 5 institutions in 1 country.

Andrea PianaDepartment of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy.
Maria Eugenia ColucciDepartment of Medicine and Surgery, University of Parma, Parma, Italy.
Federica ValerianiDepartment of Movement, Human and Health Sciences, Laboratory of Epidemiology and Biotechnologies, University of Rome "Foro Italico," Rome, Italy.
Adriano MarcolongoSant'Andrea Hospital, Sapienza University of Rome, Rome, Italy.
Giovanni SotgiuDepartment of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy.
Cesira PasquarellaDepartment of Medicine and Surgery, University of Parma, Parma, Italy.
Lory Marika MargarucciDepartment of Movement, Human and Health Sciences, Laboratory of Epidemiology and Biotechnologies, University of Rome "Foro Italico," Rome, Italy.
Andrea PetruccaSant'Andrea Hospital, Sapienza University of Rome, Rome, Italy.
Gianluca GianfranceschiDepartment of Movement, Human and Health Sciences, Laboratory of Epidemiology and Biotechnologies, University of Rome "Foro Italico," Rome, Italy.
Sergio BabudieriDepartment of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy.
Pietro VitaliDepartment of Medicine and Surgery, University of Parma, Parma, Italy.
Giuseppe D'ErmoDepartment of Surgery "P. Valdoni", Sapienza University of Rome, Rome, Italy.
Assunta BizzarroDepartment of Medicine and Surgery, University of Parma, Parma, Italy.
Flavio De MaioDepartment of Basic Biotechnological Sciences, Intensive and Perioperative Clinics, Section of Microbiology, Catholic University of the Sacred Heart, Rome, Italy.
Matteo VitaliDepartment of Public Health and Infectious Diseases, University of Rome La Sapienza, Rome, Italy.
Antonio AzaraDepartment of Medical, Surgical and Experimental Sciences, University of Sassari, Sassari, Italy.
Ferdinando RomanoDepartment of Public Health and Infectious Diseases, University of Rome La Sapienza, Rome, Italy.
Maurizio SimmacoSant'Andrea Hospital, Sapienza University of Rome, Rome, Italy.
Vincenzo Romano SpicaDepartment of Movement, Human and Health Sciences, Laboratory of Epidemiology and Biotechnologies, University of Rome "Foro Italico," Rome, Italy vincenzo.romanospica@uniroma4.it.ORCID 0000-0002-2900-6399
Sapienza University of Rome · ITForo Italico University of Rome · ITUniversity of Parma · ITUniversity of Sassari · ITUniversità Cattolica del Sacro Cuore · IT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) environmental contamination occurs through droplets and biological fluids released in the surroundings from patients or asymptomatic carriers. Surfaces and objects contaminated by saliva or nose secretions represent a risk for indirect transmission of coronavirus disease 2019 (COVID-19). We assayed surfaces from hospital and living spaces to identify the presence of viral RNA and the spread of fomites in the environment. Anthropic contamination by droplets and biological fluids was monitored by detecting the microbiota signature using multiplex quantitative real-time PCR (qPCR) on selected species and massive sequencing on 16S amplicons. A total of 92 samples (flocked swabs) were collected from critical areas during the pandemic, including indoor (three hospitals and three public buildings) and outdoor surfaces exposed to anthropic contamination (handles and handrails, playgrounds). Traces of biological fluids were frequently detected in spaces open to the public and on objects that are touched with the hands (>80%). However, viral RNA was not detected in hospital wards or other indoor and outdoor surfaces either in the air system of a COVID hospital but only in the surroundings of an infected patient, in consistent association with droplet traces and fomites. Handled objects accumulated the highest level of multiple contaminations by saliva, nose secretions, and fecal traces, further supporting the priority role of handwashing in prevention. In conclusion, anthropic contamination by droplets and biological fluids is widespread in spaces open to the public and can be traced by qPCR. Monitoring fomites can support evaluation of indirect transmission risks for coronavirus or other flu-like viruses in the environment.

Indexed as

HospitalsReal-Time Polymerase Chain ReactionCOVID-19Environmental ExposureFomitesHumansRNA, ViralSalivaSARS-CoV-2Surface PropertiesRNA, Viralbiological fluidsdropletsenvironmental contaminationfomitemicrobiotaSARS-CoV-2

Identifiers

PMID33408231
PMCPMC7845593
OpenAlexW3118733141

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.