Companion animal adoption and relinquishment during the COVID-19 pandemic: Peri-pandemic pets at greatest risk of relinquishment
Notice bibliographique
Résumé
The COVID-19 pandemic has created a situation globally where companion animals may be at increased risk of relinquishment and abandonment due to multiple interrelated factors. The aims of this study were to establish the prevalence of self-reported adoption and relinquishment of cats and dogs during the pandemic, and to identify characteristics associated with relinquishment. A survey was distributed to 4,000 participants across several countries including the UK, USA, Canada, Italy, Spain and France. N = 3,945 responses were available for analysis. Three groups of participants were identified; Those that never considered relinquishment (NCR), those that have considered relinquishment (CR) and those that have already relinquished a cat or dog (R). Two follow-up surveys were sent to CR and R participants. Considering data from the three surveys, 4.06% of participants considered giving up their pet, 0.74% relinquished their pet, and 0.2% considered and then later give up their pet. Compared to pets given as a gift, there was a 38.7% decreased likelihood of relinquishment in pets sourced from a shelter ( P < 0.001), 31.2% decrease in those sourced from a breeder, and a 24.4% decrease in those acquired directly from someone that needed to find a new home for their cat or dog. Compared to owners who acquired their pet > 6 months before COVID-19 was declared a pandemic, those acquired < 6 months before COVID-19 was declared a pandemic were three times more likely to be considered for, or be, given up ( P < 0.001) and those acquired after COVID-19 was declared a pandemic were two times more likely to be considered for, or be, given up ( P < 0.001). There was a trend for greater likelihood of CR or R of pets acquired online ( P = 0.074). Of those that had already given up their pet, 14.3% relinquished to a shelter, 66.7% gave their pet to a new owner and 19% obtained temporary care from someone else. A total of 65.0% of CR participants were male, increasing to 72.2% of R participants. There was no effect of species (cat or dog) on risk of relinquishment. Financial constraints were the most mentioned reason for both giving up a pet and considering giving up a pet, followed by health concerns specific to COVID-19, and behavioral problems. The findings from this study should be used to inform interventions aimed at reducing companion animal relinquishment.
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Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,001 | 0,000 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,001 | 0,001 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,001 |
| Intégrité de la recherche | 0,000 | 0,000 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».