Predictive epizootology
Study programme: infectious diseases of animals full-time form of study
Teaching language: english
Subject code: KaEaPaOsz/PredE df/ProfS/22 Short: PredE df/ProfS
Teaching language: english
Subject code: KaEaPaOsz/PredE df/ProfS/22 Short: PredE df/ProfS
- Credits: 10
- Completion method: Examination
Form, course-load and method od study: | |
Method of study: | present |
Prerequisites a following | |
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CONDITIONS FOR COMPLETION OF COURSE | |
In order to pass the course, the student must have active participation in lectures and practical training. The prerequisite for passing the examination is the preparation and defence of a seminar paper on the topic assigned by the supervisor (in the range A-E), which is the result of self-study. The examination is awarded on the basis of an assessment of the knowledge acquired (in the A-E range). | |
Learning outcomes | |
The graduate of the course will gain knowledge about predictive epidemiology, specific laws of epizootic and infectious process; origin, development and demise of infectious diseases; methodological procedures for diagnosis or detection of infectious disease agents; risk assessment, including the use of mathematical and statistical methods in forecasting and modelling in epidemiology. |
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Brief outline of the course | |
Characteristics of predictive epidemiology (epidemiology vs.Epidemiology vs. epidemiology); Evolution of pathogen-host relationships; Interspecies interactions of pathogens (from apathogenicity to pathogenicity); Study of interactions: agent - mechanism of transmission - susceptible organism (necessary links for the emergence of an epizootic process); The role of vectors; reservoir species and susceptible animal species in the transmission of pathogens and in emerging infectious diseases; Factors influencing the circulation of pathogenic microorganisms in animal and human populations; Principles and methodological procedures for the detection of infectious disease agents; Risk assessment in epizootiology (qualitative and quantitative) focusing on: Risk identification and characterization, exposure assessment and risk estimation; Modelling and forecasting in epidemiology; Predictive models in epidemiology; Analysis of the epidemiological situation using mathematical and statistical methods, including descriptive, analytical and experimental methods of predictive epidemiology. |
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Recommended literature | |
Švrček, Š., Bajová, V., Beníšek, Z., Bíreš, J., Čížek, M., Korim, P., Levkutová, M. Mojžišová, J., Ondrejka, R., Ondrejková,A., Trávniček, M., Vilček, Š. (2008): Všeobecná epizootológia a všeobecná infektologija; UVL Košice ISBN 978-80-80-8077-081-5: 174 p.; Švrček, Š., Bajová, V., Beníšek, Z., Bíreš, J., Čížek, M., Korim, P., Levkutová, M. Mojžišová, J., Ondrejka, R., Ondrejková,A., Trávniček, M., Vilček, Š. (2008): Prevention and control of infectious diseases: UVL Košice ISBN 978-80-8077-082-2, 344 p.; Treml, F., Lány, P., Pospíšil, Z., Zendulková, D. (2014): General epizootology, University of Veterinary and Pharmaceutical Sciences Brno ISBN 978-80-7305-701-5: 60s.; Mojžišová, J. Goldová, M., et al. (2006). I. General part, laboratory diagnostic methods. UVL Košice, ISBN 80-8077-040-9: 95 p.; Bakoss et al: Epidemiology (2005) ISBN 80-223-1989-9, 486s. Petrie A and Watson Paul: Statistics for Veterinary and Animal Science, third edition, ISBN 978-0-470-67075-0; 2018, 391 pp. Sergeant E and Perkins N:Epidemiology for Field Veterinarians, An Introduction, ISBN 978-1-84593-691-4, 2015, 311 pp. Dronamraju K.R. (Ed.) Infectious Disease and Host-Pathogen Evolution, ISBN 978-0-521-12655-7, 2009, 370 pp. |
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Conditions for completion of course | |
Conditions for completion of course: In order to pass the course, the student must have active participation in lectures and practical training. The prerequisite for passing the examination is the preparation and defence of a seminar paper on the topic assigned by the supervisor (in the range A-E), which is the result of self-study. The examination is awarded on the basis of an assessment of the knowledge acquired (in the A-E range).
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LANGUAGE, WHICH KNOWLEDGE IS NEEDED TO PASS THE COURSE | |
Evaluation of the course | |||||
Total number of evaluated students: 0 | |||||
A | B | C | D | E | FX |
0.0 | 0.0 | 0.0 | 0.0 | 0.0 | 0.0 |
Date of last modification: 13.09.2022 | |||||
Approved by: Tutot Dr. h. c. Prof. MVDr. Jana Mojžišová, PhD. |