The effect of changing COVID-19 restrictions on the transmission rate in a veterinary clinic

被引:1
|
作者
Spence, Lee [1 ]
Anderson, David E. [2 ]
Aslan, Ibrahim Halil [3 ]
Demir, Mahir [4 ]
Okafor, Chika C. [5 ]
Souza, Marcy [5 ]
Lenhart, Suzanne [1 ]
机构
[1] Univ Tennessee, Dept Math, Knoxville, TN 37996 USA
[2] Univ Tennessee, Coll Vet Med, Dept Large Anim Clin Sci, Knoxville, TN USA
[3] Stanford Doerr Sch Sustainabil, Hopkins Marine Stn, Stanford, CA USA
[4] Giresun Univ, Dept Math, Giresun, Turkiye
[5] Univ Tennessee, Coll Vet Med, Dept Biomed & Diagnost Sci, Knoxville, TN USA
关键词
Veterinary teaching hospital; COVID-19; Mathematical model; Disease transmission; EPIDEMIC; MODELS; DYNAMICS; SPREAD;
D O I
10.1016/j.idm.2023.01.005
中图分类号
Q [生物科学];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 COVID19 virus while simultaneously providing critical and essential veterinary services. A mathematical model was developed to predict the change in the level of possible COVID19 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. (c) 2023 The Authors. Publishing services by Elsevier B.V. on behalf of KeAi Communications Co. Ltd. This is an open access article under the CC BY-NC-ND license
引用
收藏
页码:294 / 308
页数:15
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