Avaliação do impacto econômico da pandemia numa clínica veterinária

Pedro Henrique Esteves Trindade; Ricardo Limongi; Thiago Damasceno Faria Bluhm

doi:10.5585/2025.25851

Autores/as

Pedro Henrique Esteves Trindade Michigan State University, (MSU), Michigan, Estados Unidos https://orcid.org/0000-0002-8522-5553
Ricardo Limongi Universidade Federal de Goiás (UFG), Goiânia, GO, Brasil https://orcid.org/0000-0003-3231-7515
Thiago Damasceno Faria Bluhm Universidade de Fortaleza, Fortaleza, Ceará, Brasil https://orcid.org/0000-0002-9288-2447

DOI:

https://doi.org/10.5585/2025.25851

Palabras clave:

pandemia, mascota, series temporales, veterinaria, pronóstico, cluster

Resumen

Objetivo: Este artículo tecnológico presenta la valoración económica de una clínica veterinaria que incrementó el contacto humano con animales durante la pandemia.

Métodos: Se utilizaron modelos binomiales lineales y negativos para comparaciones entre años, SARIMA para pronósticos semestrales y análisis de conglomerados para evaluar la segmentación de clientes.

Resultados: Hubo crecimiento en operaciones en 2020 y conservación en 2021.

Conclusiones académicas: Los clientes, de dos perfiles encontrados, buscaron en su mayoría servicios (castración y vacunación) asociados en algún grado a la adquisición o adopción de animales, explicando parcialmente el crecimiento durante la pandemia. La adquisición o adopción y el cuidado adicional potenciado por el aislamiento social durante la pandemia aparentemente surgieron para el crecimiento de las operaciones.

Conclusiones prácticas: El artículo contribuye a la valoración del segmento de mascotas, que tuvo un resultado positivo con el impacto de la pandemia y con una previsión de crecimiento para el próximo semestre, y fomenta la valoración de análisis financieros, económicos y comerciales en la evaluación de clínicas veterinarias.

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Biografía del autor/a

Pedro Henrique Esteves Trindade, Michigan State University, (MSU), Michigan, Estados Unidos

Professor (assistente) na Faculdade de Medicina Veterinária da Universidade Estadual de Michigan (Estados Unidos) e professor (voluntário) no Programa de Pós-Graduação em Anestesiologia da Universidade Estadual de São Paulo (Brasil).

Ricardo Limongi, Universidade Federal de Goiás (UFG), Goiânia, GO, Brasil

Doutor em Administração na linha de Estratégias de Marketing pela FGV/SP, com estágio doutoral na Cornell University. Professor de Marketing e Inteligência Artificial na UFG.

Thiago Damasceno Faria Bluhm, Universidade de Fortaleza, Fortaleza, Ceará, Brasil

Professor de Ciência de Dados, Business Inteligence e Eng. de Dados, Líder Técnico em Ciência de Dados, BI e Big Data, PortfolioTech.

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