ArticleVeterinary medicine and science2023
SARS-CoV-2 infection of companion animals in Egypt and its risk of spillover.
Article in Veterinary medicine and science, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 9 papers.
What it found
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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.
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.
Who cites it
9 citing papers in PubMed, 16 citations in OpenAlex.
- Seroprevalence of SARS-CoV-2 in Livestock in Sarawak, East Malaysia.Transboundary and emerging diseases · 2026Article
- First detection of Omicron variant BA.4.1 lineage in dogs, Chile.The veterinary quarterly · 2024Article
- Data on SARS-CoV-2 events in animals: Mind the gap!One health (Amsterdam, Netherlands) · 2023Article
- A comprehensive dataset of animal-associated sarbecoviruses.Scientific data · 2023Article
- Scanning Electron Microscopy and EDX Spectroscopy of Commercial Swabs Used for COVID-19 Lateral Flow Testing.Toxics · 2023Article
- Neutralizing Antibodies against the SARS-CoV-2 Ancestral Strain and Omicron BA.1 Subvariant in Dogs and Cats in Mexico.Pathogens (Basel, Switzerland) · 2023Article
- Corrigendum.Veterinary medicine and science · 2023Article
- Interspecies transmission of SARS CoV-2 with special emphasis on viral mutations and ACE-2 receptor homology roles.International journal of veterinary science and medicine · 2023Review
- SARS-CoV-2 infection of companion animals in Egypt and its risk of spillover.Veterinary medicine and science · 2023Article
Corrections and comments
- Erratum issuedCorrigendum.2023
Authors and funding
7 authors at 5 institutions in 3 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundReverse zoonoses occur because of interactions between humans and animals. Homology of ACE-2 cell receptors in different hosts and high mutation rate of SARS-CoV-2 enhance viral transmission among species.
objectivesThis study aimed to investigate spillover of SARS-CoV-2 between humans and companion animals.
methodsA cross-sectional study was constructed using nasopharyngeal/oropharyngeal swabs, serum and blood samples collected from 66 companion animals (33 cats and 33 dogs) that were in contact with SARS-CoV-2-positive owners from December 2020 to March 2021. Swabs were screened by rRT-PCR and some positive cases were confirmed by partial spike gene sequencing. Clinical pathology and pathological studies were also performed.
resultsOur findings revealed that 30% of cats (10/33) and 24% of dogs (8/33) were SARS-CoV-2 positive. While 33% of these animals were asymptomatic (6/18), 28% showed mild respiratory signs (5/18) and 39% displayed severe respiratory signs (7/18) including 4 dead cats 40% (4/10). Partial spike gene sequencing of 6 positive samples collected in December 2020 were identical to SARS-CoV-2 that was detected in humans in Egypt in that time frame. Clinical pathology findings revealed thrombocytopenia, lymphocytopenia, as well as elevated levels of D-dimer, LDH, CRP, and ferritin. Post-mortem and histopathological examinations illustrated multisystemic effects.
conclusionsThere is a potential occurrence of SARS-CoV-2 spillover between humans and pet animals. IMPACTS: The present study highlighted the potential occurrence of SARS-CoV-2 spillover between humans and their companion animals. Biosecurity measures should be applied to decrease spread of SARS-CoV-2 among humans and pet animals.
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Registered trials
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.