HELTH201-21A (HAM)

Epidemiology and Bio-statistics

15 Points

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Division of Health Engineering Computing & Science
Te Huataki Waiora - School of Health

Staff

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Convenor(s)

Ross Lawrenson

Ross Lawrenson
9484
TT.7.16
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ross.lawrenson@waikato.ac.nz

Lecturer(s)

Mohana Mondal

Mohana Mondal
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mohana.mondal@waikato.ac.nz

Administrator(s)

: dean.crawford@waikato.ac.nz

Placement/WIL Coordinator(s)

Tutor(s)

Student Representative(s)

Lab Technician(s)

Librarian(s)

You can contact staff by:

  • Calling +64 7 838 4466 select option 1, then enter the extension.
  • Extensions starting with 4, 5, 9 or 3 can also be direct dialled:
    • For extensions starting with 4: dial +64 7 838 extension.
    • For extensions starting with 5: dial +64 7 858 extension.
    • For extensions starting with 9: dial +64 7 837 extension.
    • For extensions starting with 3: dial +64 7 2620 + the last 3 digits of the extension e.g. 3123 = +64 7 262 0123.
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Paper Description

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This course is structured in 12 lectures covering topics:

  1. Introduction to Epidemiology
  2. Health and Disease
  3. Causation and Risk
  4. Cohort studies
  5. Case control studies
  6. Experimental studies/Intervention studies
  7. Using epidemiology to explore ethnic disparities
  8. Cancer epidemiology
  9. Rural health
  10. Clinical epidemiology and critical appraisal
  11. Principles of screening
  12. Epidemiology and health services planning
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Paper Structure

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All lectures will be interactive live sessions conducted via Zoom. There will also be a weekly tutorial. Both the lectures and the tutorials will be recorded and uploaded onto Moodle, after each lecture, for students to view.

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Learning Outcomes

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Students who successfully complete the paper should be able to:

  • Define epidemiology and understand the different epidemiological methods used to describe the health of populations
    Linked to the following assessments:
  • Understand commonly available biostatistical data sources to consider and compare the health of populations
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  • Describe the use of epidemiology in preventing poor health, health system planning, health research, policy and evaluation
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  • Apply epidemiological principles to the assessment of a practical health policy, research, or health services example in terms of their capacity to improve Māori health and reduce health inequities.
    Linked to the following assessments:
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Assessment

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A multiple choice quiz will be uploaded onto Moodle every 4 weeks. These quizzes will start during week 4 and will continue through until week 12. There will be a specific time limit set for each quiz. You will generally have two days to to complete these, and they will be due at 5pm every Friday. Once you start taking your test, you are required to finish it and then submit it.

Also, there is one assignment where you will prepare a 2000 word paper that describes the epidemiology of a common disease or health condition of your choice. You will be expected to describe clearly about the disease/ health condition and the likely aetoeological factors for the same.

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Assessment Components

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The internal assessment/exam ratio (as stated in the University Calendar) is 60:40. There is no final exam. The final exam makes up 40% of the overall mark.

The internal assessment/exam ratio (as stated in the University Calendar) is 60:40 or 0:0, whichever is more favourable for the student. The final exam makes up either 40% or 0% of the overall mark.

Component DescriptionDue Date TimePercentage of overall markSubmission MethodCompulsory
1. Monthly Quz
26 Mar 2021
5:00 PM
20
  • Online: Submit through Moodle
✔
2. Monthly Quiz
30 Apr 2021
5:00 PM
20
  • Online: Submit through Moodle
✔
3. Monthly Quz
28 May 2021
5:00 PM
20
  • Online: Submit through Moodle
✔
4. Paper assignment
18 Jun 2021
5:00 PM
40
  • Online: Submit through Moodle
✔
Assessment Total:     100    
Failing to complete a compulsory assessment component of a paper will result in an IC grade
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Required and Recommended Readings

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Required Readings

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Farmer, R., & Lawrenson, R. (2004). Lecture Notes: Epidemiology and Public Health Medicine (5th ed.). Oxford, UK: Blackwell Publishing

Penelope, W., Bain, C., & Page, A. (2019). Essential Epidemiology (4th ed.). Cambridge, UK: Cambridge University Press

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Recommended Readings

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Frampton, C. (2012). Clinical Trials – an overview, Research Review Educational Series

https://www.researchreview.co.nz/getmedia/c1fdb79b-9688-4c58-8fde-e9ff7f27c32c/educational-series_clinical-trials_an-overview.pdf.aspx?ext=.pdf

Grimes, D.A., & Schulz, K.F. (2002). Cohort studies: marching towards outcomes, Lancet, 359, 341–45.

https://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.608.5143&rep=rep1&type=pdf

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Online Support

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For help with Moodle, click on the following link:

https://www.waikato.ac.nz/teaching-and-learning/student-learning/help-with-technology/moodle-for-students/

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Workload

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Around 10-12 hours should be allocated for the reading materials and gaining proficiency.
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Linkages to Other Papers

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Prerequisite(s)

Prerequisite papers: CSMAX101 or STATS111 or STAT111 or STATS121 or STAT121.

Corequisite(s)

Equivalent(s)

Restriction(s)

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