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Evaluation of shelter dog activity levels before and during COVID-19 using automated analysis

Animal shelters have been found to represent stressful environments for pet dogs, both affecting behavior and influencing welfare. The current COVID-19 pandemic has brought to light new uncertainties in animal sheltering practices which may affect shelter dog behavior in unexpected ways. To evaluate...

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Autores principales: Byosiere, Sarah-Elizabeth, Feighelstein, Marcelo, Wilson, Kristiina, Abrams, Jennifer, Elad, Guy, Farhat, Nareed, van der Linden, Dirk, Kaplun, Dmitrii, Sinitca, Aleksandr, Zamansky, Anna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier B.V. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754327/
https://www.ncbi.nlm.nih.gov/pubmed/36540855
http://dx.doi.org/10.1016/j.applanim.2022.105614
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author Byosiere, Sarah-Elizabeth
Feighelstein, Marcelo
Wilson, Kristiina
Abrams, Jennifer
Elad, Guy
Farhat, Nareed
van der Linden, Dirk
Kaplun, Dmitrii
Sinitca, Aleksandr
Zamansky, Anna
author_facet Byosiere, Sarah-Elizabeth
Feighelstein, Marcelo
Wilson, Kristiina
Abrams, Jennifer
Elad, Guy
Farhat, Nareed
van der Linden, Dirk
Kaplun, Dmitrii
Sinitca, Aleksandr
Zamansky, Anna
author_sort Byosiere, Sarah-Elizabeth
collection PubMed
description Animal shelters have been found to represent stressful environments for pet dogs, both affecting behavior and influencing welfare. The current COVID-19 pandemic has brought to light new uncertainties in animal sheltering practices which may affect shelter dog behavior in unexpected ways. To evaluate this, we analyzed changes in dog activity levels before COVID-19 and during COVID-19 using an automated video analysis within a large, open-admission animal shelter in New York City, USA. Shelter dog activity was analyzed during two two-week long time periods: (i) just before COVID-19 safety measures were put in place (Feb 26-Mar 17, 2020) and (ii) during the COVID-19 quarantine (July 10–23, 2020). During these two periods, video clips of 15.3 second, on average, were taken of participating kennels every hour from approximately 8 am to 8 pm. Using a two-step filtering approach, a matched sample (based on the number of days of observation) of 34 dogs was defined, consisting of 17 dogs in each group (N1/N2 = 17). An automated video analysis of active/non-active behaviors was conducted and compared to manual coding of activity. The automated analysis validated by comparison to manual coding reaching above 79% accuracy. Significant differences in the patterns of shelter dog activity were observed: less activity was observed in the afternoons before COVID-19 restrictions, while during COVID-19, activity remained at a constant average. Together, these findings suggest that 1) COVID-19 lockdown altered shelter dog in-kennel activity, likely due to changes in the shelter environment and 2) automated analysis can be used as a hands-off tool to monitor activity. While this method of analysis presents immense opportunity for future research, we discuss the limitations of automated analysis and guidelines in the context of shelter dogs that can increase accuracy of detection, as well as reflect on policy changes that might be helpful in mediating canine stress in changing shelter environments.
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spelling pubmed-97543272022-12-16 Evaluation of shelter dog activity levels before and during COVID-19 using automated analysis Byosiere, Sarah-Elizabeth Feighelstein, Marcelo Wilson, Kristiina Abrams, Jennifer Elad, Guy Farhat, Nareed van der Linden, Dirk Kaplun, Dmitrii Sinitca, Aleksandr Zamansky, Anna Appl Anim Behav Sci Article Animal shelters have been found to represent stressful environments for pet dogs, both affecting behavior and influencing welfare. The current COVID-19 pandemic has brought to light new uncertainties in animal sheltering practices which may affect shelter dog behavior in unexpected ways. To evaluate this, we analyzed changes in dog activity levels before COVID-19 and during COVID-19 using an automated video analysis within a large, open-admission animal shelter in New York City, USA. Shelter dog activity was analyzed during two two-week long time periods: (i) just before COVID-19 safety measures were put in place (Feb 26-Mar 17, 2020) and (ii) during the COVID-19 quarantine (July 10–23, 2020). During these two periods, video clips of 15.3 second, on average, were taken of participating kennels every hour from approximately 8 am to 8 pm. Using a two-step filtering approach, a matched sample (based on the number of days of observation) of 34 dogs was defined, consisting of 17 dogs in each group (N1/N2 = 17). An automated video analysis of active/non-active behaviors was conducted and compared to manual coding of activity. The automated analysis validated by comparison to manual coding reaching above 79% accuracy. Significant differences in the patterns of shelter dog activity were observed: less activity was observed in the afternoons before COVID-19 restrictions, while during COVID-19, activity remained at a constant average. Together, these findings suggest that 1) COVID-19 lockdown altered shelter dog in-kennel activity, likely due to changes in the shelter environment and 2) automated analysis can be used as a hands-off tool to monitor activity. While this method of analysis presents immense opportunity for future research, we discuss the limitations of automated analysis and guidelines in the context of shelter dogs that can increase accuracy of detection, as well as reflect on policy changes that might be helpful in mediating canine stress in changing shelter environments. Elsevier B.V. 2022-05 2022-03-26 /pmc/articles/PMC9754327/ /pubmed/36540855 http://dx.doi.org/10.1016/j.applanim.2022.105614 Text en © 2022 Elsevier B.V. All rights reserved. Since January 2020 Elsevier has created a COVID-19 resource centre with free information in English and Mandarin on the novel coronavirus COVID-19. The COVID-19 resource centre is hosted on Elsevier Connect, the company's public news and information website. Elsevier hereby grants permission to make all its COVID-19-related research that is available on the COVID-19 resource centre - including this research content - immediately available in PubMed Central and other publicly funded repositories, such as the WHO COVID database with rights for unrestricted research re-use and analyses in any form or by any means with acknowledgement of the original source. These permissions are granted for free by Elsevier for as long as the COVID-19 resource centre remains active.
spellingShingle Article
Byosiere, Sarah-Elizabeth
Feighelstein, Marcelo
Wilson, Kristiina
Abrams, Jennifer
Elad, Guy
Farhat, Nareed
van der Linden, Dirk
Kaplun, Dmitrii
Sinitca, Aleksandr
Zamansky, Anna
Evaluation of shelter dog activity levels before and during COVID-19 using automated analysis
title Evaluation of shelter dog activity levels before and during COVID-19 using automated analysis
title_full Evaluation of shelter dog activity levels before and during COVID-19 using automated analysis
title_fullStr Evaluation of shelter dog activity levels before and during COVID-19 using automated analysis
title_full_unstemmed Evaluation of shelter dog activity levels before and during COVID-19 using automated analysis
title_short Evaluation of shelter dog activity levels before and during COVID-19 using automated analysis
title_sort evaluation of shelter dog activity levels before and during covid-19 using automated analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9754327/
https://www.ncbi.nlm.nih.gov/pubmed/36540855
http://dx.doi.org/10.1016/j.applanim.2022.105614
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