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Animal models in biological and biomedical research - experimental and ethical concerns

Overview of attention for article published in Anais da Academia Brasileira de Ciências, January 2019
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Title
Animal models in biological and biomedical research - experimental and ethical concerns
Published in
Anais da Academia Brasileira de Ciências, January 2019
DOI 10.1590/0001-3765201720170238
Pubmed ID
Authors

Monica L Andersen, Lucile M F Winter

Abstract

Animal models have been used in experimental research to increase human knowledge and contribute to finding solutions to biological and biomedical questions. However, increased concern for the welfare of the animals used, and a growing awareness of the concept of animal rights, has brought a greater focus on the related ethical issues. In this review, we intend to give examples on how animals are used in the health research related to some major health problems in Brazil, as well as to stimulate discussion about the application of ethics in the use of animals in research and education, highlighting the role of National Council for the Control of Animal Experimentation (Conselho Nacional de Controle de Experimentação Animal - CONCEA) in these areas. In 2008, Brazil emerged into a new era of animal research regulation, with the promulgation of Law 11794, previously known as the Arouca Law, resulting in an increased focus, and rapid learning experience, on questions related to all aspects of animal experimentation. The law reinforces the idea that animal experiments must be based on ethical considerations and integrity-based assumptions, and provides a regulatory framework to achieve this. This review describes the health research involving animals and the current Brazilian framework for regulating laboratory animal science, and hopes to help to improve the awareness of the scientific community of these ethical and legal rules.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 554 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 554 100%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 111 20%
Student > Master 57 10%
Student > Ph. D. Student 35 6%
Student > Doctoral Student 33 6%
Researcher 22 4%
Other 78 14%
Unknown 218 39%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 71 13%
Medicine and Dentistry 45 8%
Agricultural and Biological Sciences 42 8%
Pharmacology, Toxicology and Pharmaceutical Science 23 4%
Immunology and Microbiology 22 4%
Other 110 20%
Unknown 241 44%