Cats’ and dogs’ welfare: text mining and topics modeling analysis of the scientific literature
Chrysa Adamaκopoulou, Beatrice Benedetti, Martina Zappaterra, Martina Felici, Naod Thomas Masebo, Annalisa Previti, Annamaria Passantino and Barbara Padalino
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Abstract
Veterinary Science
Animal welfare is a field with increasing significance and has been raising huge concerns of the public and the political stage. Cats and dogs possess an important role in human life, but their welfare is not always secured from a legal aspect. This review aimed to describe the evolution and geographical distribution of “cats and dogs” and “puppies and kittens” welfare literature over the last 40 years, distinguish the main research topics studied and highlight gaps in knowledge. A search using Scopus® was performed with different search strings and predetermined filters as time range, language, and subject area. A total of 2,725 scientific literature records were retrieved but only the ones that referred to cats and dogs’ welfare aspects were retained. The final 1,775 records were processed through descriptive statistics, and text mining and topic analysis procedures were performed on their titles and abstracts. The results showed that the number of studies has been increasing, especially in Europe and North America. “Shelter” was the most frequent word, followed by “behavior,” “owner” and “adopt.” The nine topics that emerged from the analysis were breeding, stress and housing conditions, welfare and pain assessment, public health, shelter management and euthanasia, behavioral problems, health issues and management, human-animal interaction, and owners’ and veterinarians’ perceptions. While stress and housing conditions, public health, and owners’ and veterinarians’ perceptions were the most studied topics, human-animal interaction was the least studied. This review confirmed the increasing research and interest in cats’ and dogs’ welfare and showed gaps in knowledge where further studies are needed.
Details
Title
Cats’ and dogs’ welfare: text mining and topics modeling analysis of the scientific literature
Creators
Chrysa Adamaκopoulou - University of Bologna
Beatrice Benedetti - University of Bologna
Martina Zappaterra - University of Bologna
Martina Felici - University of Bologna
Naod Thomas Masebo - University of Bologna
Annalisa Previti - University of Messina
Annamaria Passantino - University of Messina
Barbara Padalino - University of Bologna
Publication Details
Frontiers in veterinary science, Vol.10, pp.1-13
Publisher
Frontiers Media SA
Grant note
The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This study was funded by the Framework partnership agreement GP/EFSA/ALPHA/2021/10, Lot 1, signed between EFSA and the authors (BP, MF, and MZ).