Academic Year |
2024Year |
School/Graduate School |
Graduate School of Advanced Science and Engineering (Master's Course) Division of Advanced Science and Engineering Transdisciplinary Science and Engineering Program |
Lecture Code |
WSQN2601 |
Subject Classification |
Specialized Education |
Subject Name |
Environmental Epidemiology |
Subject Name (Katakana) |
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Subject Name in English |
Environmental Epidemiology |
Instructor |
KASHIMA SAORI |
Instructor (Katakana) |
カシマ サオリ |
Campus |
Higashi-Hiroshima |
Semester/Term |
1st-Year, Second Semester, 3Term |
Days, Periods, and Classrooms |
(3T) Thur1-4:IDEC 204 |
Lesson Style |
Lecture |
Lesson Style (More Details) |
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Class style: Face-to-face (Lecture, Workshop, presentation by students, discussion) (If online) Teams or something else Start date of class: Oct 3, 2024 (Thursday) Basically, the lecture will be provided face-to-face, but an Online (simultaneous interactive) or On-demand style is also possible depending on the situation. Please contact us in advance. |
Credits |
2.0 |
Class Hours/Week |
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Language of Instruction |
E
:
English |
Course Level |
5
:
Graduate Basic
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Course Area(Area) |
27
:
Health Sciences |
Course Area(Discipline) |
04
:
Nursing and Rehabilitation Sciences |
Eligible Students |
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Keywords |
Environment, Epidemiology, Health, Evidence based policy making, Public health |
Special Subject for Teacher Education |
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Special Subject |
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Class Status within Educational Program (Applicable only to targeted subjects for undergraduate students) | |
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Criterion referenced Evaluation (Applicable only to targeted subjects for undergraduate students) | |
Class Objectives /Class Outline |
General objectives: This course is designed for understanding the basic principle and concepts used in epidemiologic research. The context of environmental epidemiological frameworks will be with three major areas: introducing study designs; measurement; and epidemiological methods used for comparing populations. After basic introductory classes on epidemiology with mini-exercises by using R statistical software, case studies in environmental health will follow.
Specific objectives: 1. Identify and distinguish basic epidemiological study designs 2. Recognize important characteristics associated with measurement in environmental epidemiologic studies 3. Interpret basic population health measures and measures of association for comparing population health measures in environmental health. |
Class Schedule |
lesson1 Introduction: What is epidemiology lesson2 Introduction: Historical context in global health lesson3 Measurement: The occurrence of disease: Population at risk lesson4 Measurement: The occurrence of disease: Population at risk (R exercise) lesson5 Study design: Ecological Studies and Case Control Studies lesson6 Study design: Ecological Studies and Case Control Studies (R exercise) lesson7 Study design: Cohort Studies lesson8 Study design: Cohort Studies (R exercise) lesson9 Study design: Other study designs (Randomized Control Trials) lesson10 Study design: Other study designs (Randomized Control Trials) (R exercise) lesson11 Study design: Bias and confounders lesson12 Study design: Bias and confounders (R exercise) lesson13 Applied: Epidemiology and Public Policy lesson14 Applied: Epidemiology and Public Policy (R exercise) lesson15 Summary |
Text/Reference Books,etc. |
Basic materials for the course will be distributed by each lecturer when required. Recommended reference: • World Health Organization (2006) Basic Epidemiology • David D Celentano and Moyses Szklo (2018) Gordis Epidemiology 6th Edition. |
PC or AV used in Class,etc. |
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(More Details) |
Laptop computer |
Learning techniques to be incorporated |
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Suggestions on Preparation and Review |
Please consider the real epidemiological study design based on your specific field and individual experiences. I hope that you can conduct a real epidemiological study. |
Requirements |
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Grading Method |
Presentation(30%),participation(30%),report(40%)- Total score will be evaluated based on the following criteria. Excellent: S or >90, Superior: A or >80, <90, Good: B or >70, <80, Fair: C or >60, <70, Fail: D or <60 |
Practical Experience |
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Summary of Practical Experience and Class Contents based on it |
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Message |
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Other |
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Please fill in the class improvement questionnaire which is carried out on all classes. Instructors will reflect on your feedback and utilize the information for improving their teaching. |