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Public Health and Epidemiology

Study Course Description

Course Description Statuss:Approved
Course Description Version:8.00
Study Course Accepted:29.08.2024 11:14:53
Study Course Information
Course Code:SVUEK_036LQF level:Level 7
Credit Points:2.00ECTS:3.00
Branch of Science:Clinical Medicine; Public HealthTarget Audience:Pharmacy
Study Course Supervisor
Course Supervisor:Mirdza Kursīte
Study Course Implementer
Structural Unit:Institute of Public Health
The Head of Structural Unit:
Contacts:Riga, 9 Kronvalda boulevard, svekatrsu[pnkts]lv, +371 67338307
Study Course Planning
Full-Time - Semester No.1
Lectures (count)0Lecture Length (academic hours)0Total Contact Hours of Lectures0
Classes (count)8Class Length (academic hours)4Total Contact Hours of Classes32
Total Contact Hours32
Part-Time - Semester No.1
Lectures (count)0Lecture Length (academic hours)0Total Contact Hours of Lectures0
Classes (count)8Class Length (academic hours)4Total Contact Hours of Classes32
Total Contact Hours32
Study course description
Preliminary Knowledge:
Basic knowledge in human anatomy, physiology and pathology. Knowledge of English in order to read and analyse course literature.
Objective:
To provide an opportunity to gain basic knowledge and understanding of modern public health and epidemiology, as well as to promote students’ scientific, systematic, and analytic thinking.
Topic Layout (Full-Time)
No.TopicType of ImplementationNumberVenue
1Health, Public health.Classes1.00auditorium
2Disease prevention. Health promotionClasses2.00auditorium
3Epidemiology, Causality.Classes1.00auditorium
4Basic measures of epidemiology – prevalence and incidence. Crude, specific, standartised rates.Classes1.00auditorium
5Sources of health information. Data collection. Diagnostic tests.Classes1.00auditorium
6Study designs, association measures and bias.Classes2.00auditorium
Topic Layout (Part-Time)
No.TopicType of ImplementationNumberVenue
1Health, Public health.Classes1.00auditorium
2Disease prevention. Health promotionClasses2.00auditorium
3Epidemiology, Causality.Classes1.00auditorium
4Basic measures of epidemiology – prevalence and incidence. Crude, specific, standartised rates.Classes1.00auditorium
5Sources of health information. Data collection. Diagnostic tests.Classes1.00auditorium
6Study designs, association measures and bias.Classes2.00auditorium
Assessment
Unaided Work:
Independent work with the given literature. Exercise calculations in epidemiology (epidemiologic measures, diagnostic testing, measures of association) during the classes. Reading and critically evaluating scientific papers. In order to evaluate the quality of the study course as a whole, the student must fill out the study course evaluation questionnaire on the Student Portal.
Assessment Criteria:
Cumulative assessment of: • assessment of three independent work activities (50%); • exam with 50 multiple-choice questions (50%).
Final Examination (Full-Time):Exam (Written)
Final Examination (Part-Time):Exam (Written)
Learning Outcomes
Knowledge:Upon successful completion of the course, the students will: • define the concept of health and list the main groups of health determinants; • formulate practical and scientific tasks of the public health discipline; • classify and describe the levels of disease prevention and define basic principles of screening; • describe objectives of health promotion; • state historic development of the concept of epidemiology and its current understanding; • formulate the concept of evidence-based health care; • identify and interpret causal factors, risk factors of diseases and health in the frame of multi-factorial theory; • define principles to measure health-related events and states; • describe health information types, their main sources, and factors influencing their quality; • explain measures of test sensitivity, specificity, and predictive values; • explain the relationship between test sensitivity and specificity as illustrated by the ROC curve; • classify the main designs of epidemiological studies and list their advantages and limitations; • explain the concepts of confounding and bias.
Skills:The students will be able to: • differentiate causal and non-causal associations of factors and health events; • describe and give examples of disease prevention and health promotion; • calculate measures of health events and states; • differentiate crude, specific and standardized rates; • differentiate and compare electronic databases for the selection of health information; • calculate test sensitivity, specificity, and predictive values; • appraise the validity of epidemiological studies corresponding to the study designs; • calculate measures of association.
Competencies:Upon successful completion of the course the students will: • justify the necessity of empirical data for practice of public health and its use to define and solve public health problems; • justify the need of health promotion and disease prevention; • elucidate prior public health problems by using quantitative empirical data; • critically choose health measures for studies of health problems; • critically judge health information depending on its source and taking into account the evidence; • compare research results by their design and measures of association used.
Bibliography
No.Reference
Required Reading
1Greenberg, R. S. eds. 2015. Medical Epidemiology: Population Health and Effective Health Care. 5th ed. New York: McGraw-Hill Education. Access Medicine DB.
2Baltiņš M. Lietišķā epidemioloģija. Rīga: Zinātne, 2003. 354 lpp. (akceptējams izdevums)
3Ārvalstu studentiem/For international students
4Greenberg, R. S. eds. 2015. Medical Epidemiology: Population Health and Effective Health Care. 5th ed. New York: McGraw-Hill Education. Access Medicine DB.
Additional Reading
1Bouter, L. M., Zielhuis, G. and Zeegers M. P. 2018. Textbook of Epidemiology. Bohn Stafleu van Loghum. eBook Academic Collection (EBSCOhost).
2Donovan D, McDowell I, AFMC Primer on Population Health. A virtual textbook on Public Health concepts for clinicians. 2017 (2nd edition).
Other Information Sources
1http://www.cdc.gov
2http://www.euro.who.int/en/home
3https://gateway.euro.who.int/en/datasets/european-health-fo…