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Delivery anatomy kits help to keep practical veterinary classes during the COVID-19 pandemic.

  • Published In: Anatomia, Histologia, Embryologia: Journal of Veterinary Medicine Series C, 2023, v. 52, n. 1. P. 31 1 of 3

  • Database: Academic Search Ultimate 2 of 3

  • Authored By: Cristina Machado, Luciana; Santos, Sarah Ingrid P.; Gomes Mariano, Clesio; de Paula Coutinho, Meline; Belotto Guaraná, Julia; Fantinato-Neto, Paulo; Eduardo Ambrósio, Carlos 3 of 3

Abstract

To address the restrictions caused by the COVID-19 pandemic and to search for assistive learning tools for the subject of Animal Anatomy II and Applied Anatomy, 123 anatomical kits were prepared at the Animal Anatomy Laboratory for students of the Veterinary Medicine course at the University of São Paulo, Faculty of Animal Science and Food Engineering (FZEA/USP) in Pirassununga city, São Paulo, Brazil. The kits contained anatomical pieces for teaching splanchnology and topographic anatomy (two different classes), and they were elaborated based on effective preservation techniques for the preparation of animal anatomical pieces. At the end of each course, we sent an online questionnaire to the students for evaluation of the methodology used. Alternative methods were used to minimize the odour and non-generation of chemical or microbiological contaminants. The acceptance of the kits was unanimous with adherence by all the students, who had the opportunity to experience the Anatomy class in its entirety, without leaving their homes. [ABSTRACT FROM AUTHOR]

Additional Information

  • Source:Anatomia, Histologia, Embryologia: Journal of Veterinary Medicine Series C. 2023/01, Vol. 52, Issue 1, p31
  • Document Type:Article
  • Subject Area:Veterinary Medicine
  • Publication Date:2023
  • ISSN:0340-2096
  • DOI:10.1111/ahe.12804
  • Accession Number:161945704
  • Copyright Statement:Copyright of Anatomia, Histologia, Embryologia: Journal of Veterinary Medicine Series C is the property of Wiley-Blackwell and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

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