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The effect of changing COVID-19 restrictions on the transmission rate in a veterinary clinic.
Spence, Lee; Anderson, David E; Aslan, Ibrahim Halil; Demir, Mahir; Okafor, Chika C; Souza, Marcy; Lenhart, Suzanne.
Afiliación
  • Spence L; Department of Mathematics, University of Tennessee, Knoxville, TN, USA.
  • Anderson DE; Department of Large Animal Clinical Sciences, College of Veterinary Medicine, University of Tennessee, Knoxville, TN, USA.
  • Aslan IH; Hopkins Marine Station, Stanford Doerr School of Sustainability, USA.
  • Demir M; Department of Mathematics, Giresun University, Giresun, Turkey.
  • Okafor CC; Department of Biomedical and Diagnostic Sciences, College of Veterinary Medicine, University of Tennessee, Knoxville, TN, USA.
  • Souza M; Department of Biomedical and Diagnostic Sciences, College of Veterinary Medicine, University of Tennessee, Knoxville, TN, USA.
  • Lenhart S; Department of Mathematics, University of Tennessee, Knoxville, TN, USA.
Infect Dis Model ; 8(1): 294-308, 2023 Mar.
Article en En | MEDLINE | ID: mdl-36819739
With the declaration of the COVID-19 pandemic by the World Health Organization on March 11, 2020, the University of Tennessee College of Veterinary Medicine (UTCVM), like other institutions, restructured their services to reduce the potential spread of the COVID-19 virus while simultaneously providing critical and essential veterinary services. A mathematical model was developed to predict the change in the level of possible COVID-19 infections due to the increased number of potential contacts within the UTCVM hospital. A system of ordinary differential equations with different compartments for UTCVM individuals and the Knox county population was formulated to show the dynamics of transmission and the number of confirmed cases. Key transmission rates in the model were estimated using COVID-19 case data from the surrounding county and UTCVM personnel. Simulations from this model show the increasing number of COVID-19 cases among UTCVM personnel as the number of daily clients and the number of veterinary staff in the clinic are increased. We also investigate how changes within the Knox county community impact the UTCVM hospital. These scenarios show the importance of understanding the effects of re-opening scenarios in veterinary teaching hospitals.
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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Infect Dis Model Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: China
Texto completo
Añadir a Mi BVS
Imprimir
XML
PubMed Links
Buscar en Google

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Tipo de estudio: Prognostic_studies Idioma: En Revista: Infect Dis Model Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos Pais de publicación: China