Evidence map›Paper›PMID 35883543›Full record

ArticleBiomolecules2022

Infection Rate of Respiratory Viruses in the Pandemic SARS-CoV-2 Period Considering Symptomatic Patients: Two Years of Ongoing Observations.

Gaetana Costanza, Pierpaolo Paba, Marco Ciotti, Domenico Ombres, Stefano Di Carlo, Fabbio Marcuccilli, Ada Bertoli, Loide Di Traglia, Marcello Mozzani, Lucia Piredda and 10 more

Abstract read
In one paragraph

Article in Biomolecules, 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. Review
  2. Article
  3. 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

20 authors.

Gaetana CostanzaVirology Unit, Polyclinic Tor Vergata, 00133 Rome, Italy.ORCID 0000-0002-1115-4270
Pierpaolo PabaVirology Unit, Polyclinic Tor Vergata, 00133 Rome, Italy.
Marco CiottiVirology Unit, Polyclinic Tor Vergata, 00133 Rome, Italy.ORCID 0000-0002-9943-9130
Domenico OmbresVirology Unit, Polyclinic Tor Vergata, 00133 Rome, Italy.
Stefano Di CarloDepartment of Laboratory Medicine, Polyclinic Tor Vergata Foundation, 00133 Rome, Italy.
Fabbio MarcuccilliVirology Unit, Polyclinic Tor Vergata, 00133 Rome, Italy.
Ada BertoliVirology Unit, Polyclinic Tor Vergata, 00133 Rome, Italy.
Loide Di TragliaVirology Unit, Polyclinic Tor Vergata, 00133 Rome, Italy.
Marcello MozzaniVirology Unit, Polyclinic Tor Vergata, 00133 Rome, Italy.
Lucia PireddaDepartment of Biology, University of Rome Tor Vergata, 00133 Rome, Italy.
Vita PetroneDepartment of Experimental Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.
Marialaura FanelliDepartment of Experimental Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.
Carla PaganelliDepartment of Emergency, Polyclinic Tor Vergata, 00133 Rome, Italy.
Barbara CorteseNational Research Council-Nanotechnology Institute, 00185 Rome, Italy.ORCID 0000-0001-8667-7255
Emanuela BalestrieriDepartment of Experimental Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.
Sergio BernardiniDepartment of Laboratory Medicine, Polyclinic Tor Vergata Foundation, 00133 Rome, Italy.
Massimo AndreoniDepartment of Systems Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.
Claudia MatteucciDepartment of Experimental Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.ORCID 0000-0002-6058-1092
Antonella MinutoloDepartment of Experimental Medicine, University of Rome Tor Vergata, 00133 Rome, Italy.ORCID 0000-0003-4784-4297
Sandro GrelliVirology Unit, Polyclinic Tor Vergata, 00133 Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundIn the last two years, the SARS-CoV-2 pandemic has determined radical changes in human behaviors and lifestyles, with a drastic reduction in socialization due to physical distancing and self-isolation. These changes have also been reflected in the epidemiological patterns of common respiratory viruses. For this reason, early discrimination of respiratory viruses is important as new variants emerge.

methodsNasopharyngeal swabs of 2554 patients, with clinically suspected Acute Respiratory Infections (ARIs) from October 2019 to November 2021, were collected to detect 1 or more of the 23 common respiratory pathogens, especially viruses, via BioFilmArray RP2.1

resultsAn observational study on 2300 patients (254 patients were excluded because of missing data) including 1560 men and 760 women, median age of 64.5 years, was carried out. Considering the respiratory virus research request, most of the patients were admitted to the Emergency Medicine Department (41.2%, of patients), whereas 29.5% were admitted to the Infectious Diseases Department. The most frequently detected pathogens included SARS-CoV-2 (31.06%, 707/2300, from March 2020 to November 2021), InfA-B (1.86%, 43/2300), HCoV (2.17% 50/2300), and HSRV (1.65%, 38/2300). Interestingly, coinfection rates decreased dramatically in the SARS-CoV-2 pandemic period. The significative decrease in positive rate of SARS-CoV-2 was associated with the massive vaccination.

conclusionThis study represents a dynamic picture of the epidemiological curve of common respiratory viruses during the two years of pandemic, with a disregarded trend for additional viruses. Our results showed that SARS-CoV-2 had a preferential tropism for the respiratory tract without co-existing with other viruses. The possible causes were attributable either to the use of masks, social isolation, or to specific respiratory receptors mostly available for this virus, external and internal lifestyle factors, vaccination campaigns, and emergence of new SARS-CoV-2 variants.

Indexed as

COVID-19VirusesFemaleHumansMaleMiddle AgedPandemicsSARS-CoV-2COVID-19respiratory viral pathogensSARS-CoV-2 virussurveillance research

Identifiers

PMID35883543
PMCPMC9313449

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Registered trials

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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.