Evidence map›Paper›PMID 34069705›Full record

ReviewPathogens (Basel, Switzerland)2021

Airborne Coronaviruses: Observations from Veterinary Experience.

Paolo Pozzi, Alessio Soggiu, Luigi Bonizzi, Nati Elkin, Alfonso Zecconi

Open access · goldAbstract readReview
In one paragraph

Review in Pathogens (Basel, Switzerland), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 43% 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

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. 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

5 authors at 3 institutions in 2 countries.

Paolo PozziDepartment of Veterinary Sciences, University of Torino, L.go Braccini 2, 10095 Grugliasco (TO), Italy.ORCID 0000-0002-0228-2537
Alessio SoggiuDepartment of Biomedical, Surgical and Dental Sciences, University of Milano, Via Pascal 36, 20133 Milano, Italy.ORCID 0000-0001-7680-6068
Luigi BonizziDepartment of Biomedical, Surgical and Dental Sciences, University of Milano, Via Pascal 36, 20133 Milano, Italy.
Nati ElkinVeterinarian, Poultrymed, Oren St. 19, Or Yehuda 6041147, Israel.
Alfonso ZecconiDepartment of Biomedical, Surgical and Dental Sciences, University of Milano, Via Pascal 36, 20133 Milano, Italy.ORCID 0000-0002-3127-8385
University of Milan · ITUniversity of Turin · ITVascular Biogenics (Israel) · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The virus responsible for the pandemic that has affected 152 countries worldwide is a new strain of coronavirus (CoV), which belongs to a family of viruses widespread in many animal species, including birds, and mammals including humans. Indeed, CoVs are known in veterinary medicine affecting several species, and causing respiratory and/or enteric, systemic diseases and reproductive disease in poultry. Animal diseases caused by CoV may be considered from the following different perspectives: livestock and poultry CoVs cause mainly "population disease"; while in companion animals they are a source of mainly "individual/single subject disease". Therefore, respiratory CoV diseases in high-density, large populations of livestock or poultry may be a suitable example for the current SARS-CoV-2/COVID-19 pandemic. In this review we describe some strategies applied in veterinary medicine to control CoV and discuss if they may help to develop practical and useful strategies to control the SARS-CoV-2/COVID-19 pandemic.

Indexed as

airborneair filtrationanimalsbiosecuritycoronavirusdiffusionSARS-COV-2/COVID-19

Identifiers

PMID34069705
PMCPMC8160630
OpenAlexW3162926062

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.