ArticleHealth & place2020
Public perception of urban companion animals during the COVID-19 outbreak in China.
Article in Health & place, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
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
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Public acceptance of policy measures to prevent and combat infectious diseases in pets: a systematic literature review.Frontiers in veterinary science · 2025Pooled it
- SARS-CoV-2 and Companion Animals: Sources of Information and Communication Campaign during the COVID-19 Pandemic in Italy.Veterinary sciences · 2023Article
- Airborne transmission of biological agents within the indoor built environment: a multidisciplinary review.Air quality, atmosphere, & health · 2023Review
- Virulence-related factors and antimicrobial resistance inFrontiers in microbiology · 2023Article
- Impact of the COVID-19 Pandemic on Primate Research and Conservation.Animals : an open access journal from MDPI · 2022Article
- Companion animal adoption and relinquishment during the COVID-19 pandemic: Peri-pandemic pets at greatest risk of relinquishment.Frontiers in veterinary science · 2022Article
- Panic, Psycho-Behavioral Responses, and Risk Perception in the Earliest Stage of the COVID-19 Pandemic in China.Frontiers in medicine · 2022Article
- Severe acute respiratory syndrome-coronavirus 2 in domesticated animals and its potential of transmission: A meta-analysis.Veterinary world · 2021Article
- Exploring the impacts of travel-implied policy factors on COVID-19 spread within communities based on multi-source data interpretations.Health & place · 2021Article
- One welfare impacts of COVID-19 - A summary of key highlights within the one welfare framework.Applied animal behaviour science · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
This paper responds to the increasing concern regarding the role of non-human life in shaping urban space by exploring the public perception of urban companion animals during the coronavirus disease 2019 (COVID-19) outbreak in China. We argue that the public's perception of urban companion animals during emerging infectious disease outbreaks is related to medical and life science issues and reflects the political, economic, and emotional struggles involved in human-animal multispecies cohabitation. We find that the public has mainly followed and reconstructed medical discourses about the risk of companion animal-to-human transmission and discussed sustainable ethical animal practices in urban public health emergency management during the COVID-19 outbreak. Concerns regarding the risk of companion animal-related infection reflect the increasing prominence of more-than-human families, the pet industry, and multispecies leisure conflicts in public space in Chinese cities. The public's attention to animal ethics has prompted Chinese policy makers to adopt a more morally acceptable model for urban public health emergency management that can be sustained and supported by responsible non-governmental organizations and ethical urban residents.
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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.