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Hatate K, Rice JH, Parker K, Wu JJ, Turner A, Stabel JR, Eda S. Electrochemical Detection of Serum Antibodies Against Mycobacterium avium Subspecies paratuberculosis. Front Vet Sci 2021; 8:642833. [PMID: 33791354 PMCID: PMC8006348 DOI: 10.3389/fvets.2021.642833] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/16/2020] [Accepted: 02/03/2021] [Indexed: 11/13/2022] Open
Abstract
Mycobacterium avium subsp. paratuberculosis (MAP) causes a chronic inflammatory intestinal disease, called Johne's disease (JD) in many ruminants. In the dairy industry, JD is responsible for significant economic losses due to decreased milk production and premature culling of infected animals. Test-and-cull strategy in conjunction with risk management is currently recommended for JD control in dairy herds. However, current diagnostic tests are labor-intensive, time-consuming, and/or too difficult to operate on site. In this study, we developed a new method for the detection of anti-M. paratuberculosis antibodies from sera of M. paratuberculosis-infected animals. M. paratuberculosis antigen-coated magnetic beads were sequentially reacted with bovine serum followed by a horseradish peroxidase (HRP)-labeled secondary antibody. The reaction of HRP with its substrate was then quantitatively measured electrochemically using a redox-active probe, ferrocyanide. After optimization of electrochemical conditions and concentration of the redox-active probe, we showed that the new electrochemical detection method could distinguish samples of M. paratuberculosis-infected cattle from those of uninfected cattle with greater separation between the two groups of samples when compared with a conventional colorimetric testing method. Since electrochemical detection can be conducted with an inexpensive, battery-operated portable device, this new method may form a basis for the development of an on-site diagnostic system for JD.
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Affiliation(s)
- Kaoru Hatate
- Department of Forestry, Wildlife and Fisheries, University of Tennessee Institute of Agriculture, Knoxville, Knoxville, TN, United States
| | - J Hunter Rice
- Department of Microbiology, University of Tennessee, Knoxville, Knoxville, TN, United States
| | - Karsten Parker
- Department of Microbiology, University of Tennessee, Knoxville, Knoxville, TN, United States
| | - J Jayne Wu
- Department of Electrical Engineering and Computer Science, University of Tennessee, Knoxville, Knoxville, TN, United States
| | - Amy Turner
- Agricultural Research Service, United States Department of Agriculture, National Animal Disease Center, Ames, IA, United States
| | - Judith R Stabel
- Agricultural Research Service, United States Department of Agriculture, National Animal Disease Center, Ames, IA, United States
| | - Shigetoshi Eda
- Department of Forestry, Wildlife and Fisheries, University of Tennessee Institute of Agriculture, Knoxville, Knoxville, TN, United States.,Department of Microbiology, University of Tennessee, Knoxville, Knoxville, TN, United States
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2
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Brock J, Lange M, More SJ, Graham D, Thulke HH. Reviewing age-structured epidemiological models of cattle diseases tailored to support management decisions: Guidance for the future. Prev Vet Med 2019; 174:104814. [PMID: 31743817 DOI: 10.1016/j.prevetmed.2019.104814] [Citation(s) in RCA: 5] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2019] [Revised: 10/22/2019] [Accepted: 10/23/2019] [Indexed: 12/31/2022]
Abstract
Mechanistic simulation models are being increasingly used as tools to assist with animal health decision-making in the cattle sector. We reviewed scientific literature for studies reporting age-structured cattle management models in application to infectious diseases. Our emphasis was on papers dedicated to support decision making in the field. In this systematic review we considered 1290 manuscripts and identified 76 eligible studies. These are based on 52 individual models from 10 countries addressing 9 different pathogens. We provide an overview of these models and present in detail their theoretical foundations, design paradigms and incorporated processes. We propose a structure of the characteristics of cattle disease models using three main features: [1] biological processes, [2] farming-related processes and [3] pathogen-related processes. It would be of benefit if future cattle disease models were to follow this structure to facilitate science communication and to allow increased model transparency.
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Affiliation(s)
- Jonas Brock
- Helmholtz Centre for Environmental Research GmbH - UFZ, Dept Ecological Modelling, PG Ecological Epidemiology, Leipzig, Germany; Animal Health Ireland, Carrick-on-Shannon, Co. Leitrim, Ireland.
| | - Martin Lange
- Helmholtz Centre for Environmental Research GmbH - UFZ, Dept Ecological Modelling, PG Ecological Epidemiology, Leipzig, Germany
| | - Simon J More
- Centre for Veterinary Epidemiology and Risk Analysis, UCD School of Veterinary Medicine, University College Dublin, Dublin, Ireland
| | - David Graham
- Animal Health Ireland, Carrick-on-Shannon, Co. Leitrim, Ireland
| | - Hans-Hermann Thulke
- Helmholtz Centre for Environmental Research GmbH - UFZ, Dept Ecological Modelling, PG Ecological Epidemiology, Leipzig, Germany
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Verteramo Chiu LJ, Tauer LW, Gröhn YT, Smith RL. Mastitis risk effect on the economic consequences of paratuberculosis control in dairy cattle: A stochastic modeling study. PLoS One 2019; 14:e0217888. [PMID: 31557171 PMCID: PMC6762148 DOI: 10.1371/journal.pone.0217888] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/20/2019] [Accepted: 09/12/2019] [Indexed: 01/15/2023] Open
Abstract
The benefits and efficacy of control programs for herds infected with Mycobacterium avium subsp. paratuberculosis (MAP) have been investigated under various contexts. However, most previous research investigated paratuberculosis control programs in isolation, without modeling the potential association with other dairy diseases. This paper evaluated the benefits of MAP control programs when the herd is also affected by mastitis, a common disease causing the largest losses in dairy production. The effect of typically suggested MAP controls were estimated under the assumption that MAP infection increased the rate of clinical mastitis. We evaluated one hundred twenty three control strategies comprising various combinations of testing, culling, and hygiene, and found that the association of paratuberculosis with mastitis alters the ranking of specific MAP control programs, but only slightly alters the cost-benefit difference of particular MAP control components, as measured by the distribution of net present value of a representative U.S. dairy operation. In particular, although testing and culling for MAP resulted in a reduction in MAP incidence, that control led to lower net present value (NPV) per cow. When testing was used, ELISA was more economically beneficial than alternative testing regimes, especially if mastitis was explicitly modeled as more likely in MAP-infected animals, but ELISA testing was only significantly associated with higher NPV if mastitis was not included in the model at all. Additional hygiene was associated with a lower NPV per cow, although it lowered MAP prevalence. Overall, the addition of an increased risk of mastitis in MAP-infected animals did not change model recommendations as much as failing to consider.
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Affiliation(s)
- Leslie J. Verteramo Chiu
- Department of Population Medicine and Diagnostic Sciences, Cornell University College of Veterinary Medicine, Ithaca, New York, United States of America
| | - Loren W. Tauer
- Charles H. Dyson School of Applied Economics and Management, Cornell SC Johnson Business College, Cornell University, Ithaca, New York, United States of America
| | - Yrjo T. Gröhn
- Department of Population Medicine and Diagnostic Sciences, Cornell University College of Veterinary Medicine, Ithaca, New York, United States of America
| | - Rebecca L. Smith
- Department of Pathobiology, University of Illinois, College of Veterinary Medicine, Urbana, Illinois, United States of America
- * E-mail:
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Konboon M, Bani-Yaghoub M, Pithua PO, Rhee N, Aly SS. A nested compartmental model to assess the efficacy of paratuberculosis control measures on U.S. dairy farms. PLoS One 2018; 13:e0203190. [PMID: 30278041 PMCID: PMC6168138 DOI: 10.1371/journal.pone.0203190] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/25/2017] [Accepted: 08/16/2018] [Indexed: 11/19/2022] Open
Abstract
Paratuberculosis, also known as Johne's disease (JD), is a chronic contagious disease, caused by Mycobacterium avium subsp. paratuberculosis (MAP). The disease is incurable, fatal and causes economic losses estimated to exceed 200 million dollars to the U.S. dairy industry annually. Several preventive and control measures have been recommended; however, only a few of these measures have been validated empirically. Using a nested compartmental (NC) modeling approach, the main objective of this research was to identify the best combination of control and preventive measures that minimizes the prevalence and incidence of JD and the risk of MAP occurrence in a dairy herd. The NC model employs both MAP transmission estimates and data on pen movement of cattle on a dairy to quantify the effectiveness of control and preventive measures. To obtain reasonable ranges of parameter values for between-pen movements, the NC model was fitted to the movement data of four typical California dairy farms. Using the estimated ranges of the movement parameters and those of JD from previous research, the basic reproduction number was calculated to measure the risk of MAP occurrence in each pen environment as well as the entire dairy. Although the interventions evaluated by the NC model were shown to reduce the infection, no single measure alone was capable of eradicating the infection. The numerical simulations suggest that a combination of test and cull with more frequent manure removal is the most effective method in reducing incidence, prevalence and the risk of MAP occurrence. Other control measures such as limiting calf-adult cow contacts, raising calves in a disease-free herd or colostrum management were less effective.
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Affiliation(s)
- Malinee Konboon
- Department of Mathematics and Statistics, University of Missouri-Kansas City, Kansas City, Missouri, United States of America
| | - Majid Bani-Yaghoub
- Department of Mathematics and Statistics, University of Missouri-Kansas City, Kansas City, Missouri, United States of America
| | - Patrick O. Pithua
- Department of Veterinary Medicine and Surgery, College of Veterinary Medicine, University of Missouri, Columbia, Missouri, United States of America
- Department of Population Health Sciences, Virginia-Maryland College of Veterinary Medicine, Blacksburg, Virginia, United States of America
| | - Noah Rhee
- Department of Mathematics and Statistics, University of Missouri-Kansas City, Kansas City, Missouri, United States of America
| | - Sharif S. Aly
- Veterinary Medicine Teaching and Research Center, School of Veterinary Medicine, University of California Davis, Tulare, California, United States of America
- Department of Population Health and Reproduction, School of Veterinary Medicine, University of California, Davis, California, United States of America
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Kirkeby C, Græsbøll K, Halasa T. Evaluating the impact of transmission mode, calibration level and farmer compliance in simulation models of paratuberculosis in dairy herds. Sci Rep 2018; 8:9100. [PMID: 29904101 PMCID: PMC6002403 DOI: 10.1038/s41598-018-27518-7] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/11/2017] [Accepted: 05/31/2018] [Indexed: 01/13/2023] Open
Abstract
Simulation models can predict the outcome of different strategies for the control and eradication of paratuberculosis (PTB) in dairy herds. Two main transmission modes have previously been used to simulate the spread of PTB: direct (contact between animals) and indirect (through the environment). In addition, previous models were calibrated to either low or high within-herd prevalence levels, which we refer to as normal and low hygiene levels, respectively. We simulated both direct and indirect transmission with the same model in both normal and low hygiene level scenarios. The effectiveness of a test-and-cull strategy was dependent on the calibration level of the simulation model, and eradication occurred less frequently with the more biologically plausible indirect transmission mode. The results were compared to within-herd prevalence records from 314 dairy herds. The prevalence in 50% of the herds varied less than 0.9% per year on average, and less than 4% in 90% of the herds. We therefore conclude that the normal-hygiene scenario best describes most dairy herds in Denmark. Finally, we simulated different levels of farmer compliance with a test-and-cull strategy and found that a 60% compliance level was not sufficient to reach eradication within 10 years.
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Affiliation(s)
- Carsten Kirkeby
- National Veterinary Institute, Technical University of Denmark, Kemitorvet, 2800, Lyngby, Denmark.
| | - Kaare Græsbøll
- National Veterinary Institute, Technical University of Denmark, Kemitorvet, 2800, Lyngby, Denmark
| | - Tariq Halasa
- National Veterinary Institute, Technical University of Denmark, Kemitorvet, 2800, Lyngby, Denmark
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Barratt AS, Arnoult MH, Ahmadi BV, Rich KM, Gunn GJ, Stott AW. A framework for estimating society's economic welfare following the introduction of an animal disease: The case of Johne's disease. PLoS One 2018; 13:e0198436. [PMID: 29874292 PMCID: PMC5991423 DOI: 10.1371/journal.pone.0198436] [Citation(s) in RCA: 18] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/17/2017] [Accepted: 05/20/2018] [Indexed: 12/16/2022] Open
Abstract
Animal diseases are global issues affecting the productivity and financial profitability of affected farms. Johne’s disease is distributed on farms worldwide and is an endemic contagious bacterial infection in ruminants caused by Mycobacterium avium subspecies paratuberculosis. In cattle, the clinical disease manifests itself as chronic enteritis resulting in reduced production, weight loss, and eventually death. Johne’s disease is prevalent in the UK, including Scotland. Direct costs and losses associated with Johne’s disease have been estimated in previous research, confirming an important economic impact of the disease in UK herds. Despite this, the distributional impact of Johne’s disease among milk consumers and producers in Scotland has not been estimated. In this paper, we evaluate the change in society’s economic welfare, namely to dairy producers (i.e. infected and uninfected herds) and milk consumers in Scotland induced by the introduction of Johne’s disease in the national Scottish dairy herd. At the national-level, we conclude that the economic burden falls mainly on producers of infected herds and, to a lesser extent, milk consumers, while producers of uninfected herds benefit from the presence of Johne’s. An infected producer’s loss per cow is approximately two times larger in magnitude than that of an uninfected producer’s gain. Such economic welfare estimates are an important comparison of the relative costs of national herd prevalence and the wider economic welfare implications for both producers and consumers. This is particularly important from a policy, public good, cost sharing, and human health perspective. The economic welfare framework presented in this paper can be applied to other diseases to examine the relative burden of society’s economic welfare of alternative livestock disease scenarios. In addition, the sensitivity analysis evaluates uncertainty in economic welfare given limited data and uncertainty in the national herd prevalence, and other input parameters, associated with Johne’s disease in Scotland. Therefore, until the prevalence of Johne’s is better understood, the full economic cost to Scottish dairy herds remains uncertain but in the meantime the sensitivity analysis evaluates the robustness of economic welfare to such uncertainties.
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Affiliation(s)
- Alyson S. Barratt
- Land Economy, Environment and Society Research Group, Scotland’s Rural College (SRUC), Edinburgh, United Kingdom
- * E-mail:
| | - Matthieu H. Arnoult
- School of Agriculture, Policy and Development, University of Reading, Reading, United Kingdom
| | - Bouda Vosough Ahmadi
- Land Economy, Environment and Society Research Group, Scotland’s Rural College (SRUC), Edinburgh, United Kingdom
| | - Karl M. Rich
- International Livestock Research Institute (ILRI), East and Southeast Asia Regional Office, Hanoi, Vietnam
| | - George J. Gunn
- Epidemiology Research Unit, Scotland’s Rural College (SRUC), Inverness, United Kingdom
| | - Alistair W. Stott
- Future Farming Systems Group, Scotland’s Rural College (SRUC), Edinburgh, United Kingdom
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Focker MM, van der Fels-Klerx HJI, Oude Lansink AGJMA. Systematic Review of Methods to Determine the Cost-Effectiveness of Monitoring Plans for Chemical and Biological Hazards in the Life Sciences. Compr Rev Food Sci Food Saf 2018; 17:633-645. [PMID: 33350127 DOI: 10.1111/1541-4337.12340] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/13/2017] [Revised: 01/15/2018] [Accepted: 01/15/2018] [Indexed: 12/01/2022]
Abstract
This study reviews the methods used to determine the cost-effectiveness of monitoring plans for hazards in animals (diseases), plants (pests), soil, water, food, and animal feed, and assesses their applicability to food safety hazards. The review describes the strengths and weaknesses of each method, provides examples of different applications, and concludes with comments about their applicability to food safety. A systematic literature search identified publications assessing the cost-effectiveness of monitoring plans in the life sciences. Publications were classified into 4 groups depending on their subject: food safety, environmental hazards, animal diseases, or pests. Publications were reviewed according to the type of model and input data used, and the types of costs included. Three types of models were used: statistical models, simulation models, and optimization models. Input data were either experimental, historical, or simulated data. Publications differed according to the costs included. More than half the publications only included monitoring costs, whereas other publications included monitoring and management costs, or all costs and benefits. Only a few publications were found in the food safety category and all were relatively recent studies. This suggests that cost-effectiveness analysis of monitoring strategies in food safety is just starting and more research is needed to improve the cost-effectiveness of monitoring hazards in foods.
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Affiliation(s)
- M Marlous Focker
- RIKILT, Wageningen Univ. and Research, Akkermaalsbos 2, 6708 WB Wageningen, The Netherlands
| | - H J Ine van der Fels-Klerx
- RIKILT, Wageningen Univ. and Research, Akkermaalsbos 2, 6708 WB Wageningen, The Netherlands.,Business Economics, Wageningen Univ., Hollandseweg 1, 6706 KN, Wageningen, The Netherlands
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De Silva KR, Eda S, Lenhart S. Modeling environmental transmission of MAP infection in dairy cows. MATHEMATICAL BIOSCIENCES AND ENGINEERING : MBE 2017; 14:1001-1017. [PMID: 28608707 DOI: 10.3934/mbe.2017052] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.7] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 06/07/2023]
Abstract
Johne's disease is caused by Mycobacterium avium subspecies paratuberculosis(MAP). It is a chronic, progressive, and inflammatory disease which has a long incubation period. One main problem with the disease is the reduction of milk production in infected dairy cows. In our study we develop a system of ordinary differential equations to describe the dynamics of MAP infection in a dairy farm. This model includes the progression of the disease and the age structure of the cows. To investigate the effect of persistence of this bacteria on the farm on transmission in our model, we include environmental compartments, representing the pathogen input in an explicit way. The effect of indirect transmission from the bacteria in the environment and the culling of high-shedding adults can be seen in the numerical simulations. Since culling usually only happens once a year, we include a novel feature in the simulations with a discrete action of removing high-shedding adults once a year. We conclude that with culling of high shedders even at a high rate, the infection will persist in the modeled farm setting.
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Affiliation(s)
- Kokum R De Silva
- Department of Mathematics, University of Peradeniya, Peradeniya, KY 20400, Sri Lanka .
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Tuli A, Singla LD, Sharma A, Bal MS, Filia G, Kaur P. Molecular epidemiology, risk factors and hematochemical alterations induced by Theileria annulata in bovines of Punjab (India). Acta Parasitol 2015. [PMID: 26204174 DOI: 10.1515/ap-2015-0053] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/17/2023]
Abstract
Bovine tropical theileriosis, caused by Theileria annulata, is one of the economically important fatal tick borne haemoprotozoan diseases of dairy animals. The aim of present investigation was to map the distribution of T. annulata in bovines of Punjab state of India in relation to various risk factors including age, sex of animals, location and management of farms. In a cross sectional study, a total of 1278 blood samples were randomly collected from twenty districts falling in five major agro-climatic zones of Punjab. All the samples were screened by blood smear examination followed by polymerase chain reaction targeting SSU rRNA gene for Theileria spp. PCR positive samples (n = 386) for Theileria spp. were then analyzed for T. annulata by amplification of Tams1 gene. Overall prevalence of T. annulata was found to be 29.26% in Punjab, with highest in western Zone (40.49%, 95% CI = 35.57-45.41) and lowest in submountain zone (18.90%, 95% CI = 13.73-24.06). The propensity of incidence of T. annulata was found to be highest in cross bred cattle (32.40%, 95% CI = 29.87-34.94), followed by indigenous cattle (19.64%, 95% CI = 10.67-28.61) and buffaloes (19.2%, 95% CI = 14.99-23.41). Between the two sexes, incidence of T. annulata was higher in female animals. Calves less than 6 months of age were found to be more prone to theileriosis.
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Robins J, Bogen S, Francis A, Westhoek A, Kanarek A, Lenhart S, Eda S. Agent-based model for Johne's disease dynamics in a dairy herd. Vet Res 2015; 46:68. [PMID: 26091904 PMCID: PMC4474466 DOI: 10.1186/s13567-015-0195-y] [Citation(s) in RCA: 28] [Impact Index Per Article: 3.1] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/15/2014] [Accepted: 03/05/2015] [Indexed: 12/22/2022] Open
Abstract
Johne’s disease is an infectious gastrointestinal disease in ruminants caused by Mycobacterium avium subsp. paratuberculosis that causes diarrhea, emaciation, decreased milk production and eventually death. The disease is transmitted in utero and via milk and colostrums to calves, and fecal-orally to all age classes. Financial losses due to the disease are estimated to be over $200 million in the US dairy industry. The goal of this study was to evaluate the cost effectiveness of control measures based on diagnosis with a sensitive ELISA, EVELISA. An agent-based, discrete time model was developed to simulate Johne’s disease dynamics in a US dairy herd. Spatial aspects of disease transmission were taken into account by using six spatial compartments. The effects on disease prevalence were studied with and without transmission routes included in the model. Further, using the model, cost effectiveness of ELISA-based Johne’s disease control was evaluated. Using the parameters we collected and assumed, our model showed the initial prevalence of Johne’s disease (33.1 ± 0.2%) in the farm increased to 87.7 ± 1.7% in a 10 year-simulation. When ELISA-based control measures were included in the simulation, the increase in prevalence was significantly slowed down, especially when EVELISA was used. However, the level of the prevalence was still higher than the initial level after 10 year simulation even with the ELISA-based diagnostic intervention. The prevalence was further reduced when quarterly ELISA testing was included. The cost analysis showed that the quarterly ELISA and EVELISA testing could bring $44.8 and $51.5/animal/year more revenues, respectively, to a dairy farm.
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Affiliation(s)
- Jessica Robins
- University of Tennessee Institute of Agriculture, 2431 Joe Johnson Drive, 274 Ellington Plant Science Bldg, Knoxville, TN, 37996-4563, USA.
| | - Sarah Bogen
- Capital University, 1 College Ave, Bexley, OH, USA.
| | - Auldon Francis
- University of Tennessee Institute of Agriculture, 2431 Joe Johnson Drive, 274 Ellington Plant Science Bldg, Knoxville, TN, 37996-4563, USA.
| | - Annet Westhoek
- Wageningen University, 6708, PB, Wageningen, The Netherlands.
| | - Andrew Kanarek
- National Institute for Mathematical and Biological Synthesis, University of Tennessee Knoxville, 1122 Volunteer Blvd., Suite 106, Knoxville, TN, 37996-3410, USA.
| | - Suzanne Lenhart
- National Institute for Mathematical and Biological Synthesis, University of Tennessee Knoxville, 1122 Volunteer Blvd., Suite 106, Knoxville, TN, 37996-3410, USA.
| | - Shigetoshi Eda
- University of Tennessee Institute of Agriculture, 2431 Joe Johnson Drive, 274 Ellington Plant Science Bldg, Knoxville, TN, 37996-4563, USA.
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Hossain MM, Islam MS, Kamal AHM, Rahman AKMA, Cho HS. Dairy cattle mortality in an organized herd in Bangladesh. Vet World 2014. [DOI: 10.14202/vetworld.2014.331-336] [Citation(s) in RCA: 2] [Impact Index Per Article: 0.2] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/16/2022] Open
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