POPLHLTH111: nail every assessment, not just read the notes
Your complete guide to University of Auckland's population health course. See where the marks are, work real practice questions, and study with an AI tutor that knows POPLHLTH111.
Sia generates POPLHLTH111 practice questions, walks through measures of disease frequency and measures of association step by step, and quizzes you on the material the heaviest assessments weight most heavily.
Worked example
In a cohort study, 40 of 1,000 smokers develop a disease over ten years, compared with 10 of 1,000 non-smokers. What is the relative risk, and what does it mean?
Compute the risk in each group. Risk in the exposed is 40/1,000 = 0.04. Risk in the unexposed is 10/1,000 = 0.01.
State the interpretation precisely. An RR of 4.0 means the exposed group's risk is four times the unexposed group's risk over the study period. It is a ratio, not a percentage of cases and not a count.
Distinguish it from the risk difference. The excess risk, 0.04 − 0.01 = 0.03 or 30 per 1,000, is the risk difference and answers a different question: how many additional cases occur per 1,000 exposed people, which is what matters for planning an intervention.
The trap: Confusing the relative risk with the risk difference, which is option D. They answer different questions: relative risk describes the strength of an association, while the risk difference describes its public health impact. A large relative risk on a rare outcome can carry a very small risk difference, which is exactly why population health uses both. Option B misreads a ratio as an attributable fraction. classic slip!
One exam decides 40% of your grade. Invigilated. This whole page is built around that.
Overview
What POPLHLTH111 is, and where it sits
POPLHLTH 111 is the University of Auckland's Stage 1 introduction to thinking about health at the level of populations rather than patients. It sits in the School of Population Health within the Faculty of Medical and Health Sciences and is aligned to the Bachelor of Health Sciences graduate profile, so it is usually taken early in a health sciences degree.
The course has a clear organising goal: to let you apply knowledge of population health in evaluating systemic inequities in health outcomes. It builds the epidemiological toolkit first, with measures of disease frequency, measures of association, confounding and age standardisation, then uses that toolkit to examine the social, environmental and policy determinants of health. A substantial strand addresses ethnicity and equity in Aotearoa New Zealand specifically, including ethnicity data protocols and Te Tiriti o Waitangi.
Assessment splits 60% coursework and 40% final examination. The distinctive feature is the workshop programme, worth 29% and run as group work with a presentation, a written report and peer evaluation, built around a four-step public health model. Alongside it sit a 25% mid-term test and 6% of online tests, and you need an overall mark of at least 50% to pass.
Always treat your own course outline and the exam timetable as authoritative.
Difficulty & time commitment
Is POPLHLTH111 hard, and how much time does it take?
POPLHLTH111 is manageable if you keep a weekly rhythm and treat the back half as the main event. The pattern is consistent: it starts gently and steepens, and the heaviest assessment is the part that separates grades.
The difficulty curve and the assessment weighting point the same way: the back half is harder and worth more. Front-loading effort there is the highest-return decision in the course.
Is this course for you
Who tends to do well, and who tends to struggle
You will likely do well if
- You can state, for any statistic put in front of you, exactly what population it describes and over what period.
- You engage with your workshop group early. Twenty-nine percent of the grade depends on coordinated group output and peer evaluation.
- You practise the calculations rather than reading about them. Relative risk, odds ratios and age standardisation are quick once done a few times and error-prone when they have not been.
- You take the Aotearoa New Zealand equity material seriously as examinable content rather than context, since it runs through the whole course.
You may struggle if
- You confuse incidence with prevalence, or relative risk with risk difference. These distinctions are the substance of the assessment, not pedantry.
- You leave the group workshop work to other people and discover the peer evaluation component too late.
- You skip the online tests. They are only 6% but they are low-effort marks that make the invigilated components less decisive.
- You treat age standardisation as an obscure procedure rather than a core skill. It appears in the workshops and is directly examinable.
- Build a one-page measure card: for each measure, the formula, the study design it belongs to, and one sentence of correct interpretation. Most marks lost in this course are interpretation marks, not calculation marks.
- Work the practice tests with model answers that the course provides. They show the level of precision expected in written interpretation.
- For the project, use the four-step public health model explicitly as your structure. Marking follows the model, so making your steps visible pays.
- Learn to distinguish an association from a causal claim in writing. The strongest answers state what the evidence supports and then name what would be needed to go further.
Syllabus
The 12 topics, topic by topic
The exam-weight marker on each topic shows where the marks concentrate. The amber topics carry the highest exam weight.
T1 · Measures of disease frequency
Course readings and GATE notesIncidence, prevalence and mortality, and why the difference between them changes the interpretation of a statistic.
T2 · Measures of association
Course readingsRelative risk, rate ratio and odds ratio, how each is calculated, and when each is the appropriate measure.
T3 · Study design and confounding
GATE framework notesCohort, case-control and cross-sectional designs, and how confounding distorts an apparent association.
T4 · Age standardisation
Workshop 2 materialsDirect standardisation to compare populations with different age structures, applied to comparisons such as age-standardised cardiovascular death rates across ethnic groups.
T5 · Determinants of health
Course readingsSocial, environmental and policy determinants, and the idea of the determinants of the determinants.
T6 · Health inequities
Course readingsHow health outcomes differ by ethnicity, gender, socioeconomic status, geography and disability, and what makes a difference an inequity.
T7 · Ethnicity data and equity in Aotearoa New Zealand
Ministry of Health Ethnicity Data Protocols, chapters 4 and 5Ethnicity coding, the difference between recording and reporting ethnicity, and why the distinction changes what the data shows.
T8 · Te Tiriti o Waitangi and health
Historical Overview of the Treaty of Waitangi readingThe historical context of Te Tiriti and its implications for health policy and practice in Aotearoa New Zealand.
T9 · Injury prevention and the Haddon matrix
Runyan 1998 and 2003The Haddon matrix as a prevention framework, and its third dimension of cost, freedom, stigmatisation, preferences and unforeseen consequences.
T10 · Screening
Course readingsSensitivity and specificity, what each tells you about a screening test, and the trade-off between them.
T11 · Population versus high-risk prevention strategies
Course readingsWhole-population interventions compared with targeting high-risk individuals, and the circumstances that favour each.
T12 · The population health project
Project brief and four-step public health modelApplying the four-step model, from defining the burden and the problem, through developing and testing prevention strategies, to ensuring widespread adoption.
How it's assessed
Assessment structure
| Component | Weight | Format & timing |
|---|---|---|
| Final examination | 40% | Written final examination covering the course content. University of Auckland Semester 1 examination period. Invigilated. |
| Population health workshops | 29% | Four group assignments plus a group presentation and a reflection with peer evaluation, built around the population health project. Across the semester, in four two-hour workshops. Group work with individual peer evaluation. |
| Mid-term test | 25% | Invigilated mid-semester test. Mid-semester. Invigilated. |
| Online tests | 6% | Online quizzes taken across the semester. Across the semester. Individual. |
- You must achieve an overall mark of at least 50% to pass. The course is structured as 60% coursework and 40% final examination, with no separate component hurdle stated.
- The final is a written examination worth 40%, the largest single component. Past practice tests concentrate heavily on measures of disease frequency, measures of association and screening statistics, which are the most reliably examinable material because they have determinate answers.
This is a coursework course. Coursework carries 60% of the grade and the final examination is the single heaviest piece at 40%, so steady work across the semester decides your result more than any one sitting. Invigilated.
Final exam timing: During the University of Auckland Semester 1 examination period. Confirm the exact date and venue on your exam timetable.
How to actually pass it
A weekly rhythm, two checklists, and the traps to avoid
The course rewards consistency over cramming, and practice over re-reading. Here is the loop that works, then what to have nailed before each exam.
The weekly loop
Before the mid-semester checklist
- Calculate and interpret incidence, prevalence and mortality, and explain when each is the appropriate measure.
- Calculate relative risk, rate ratio and odds ratio, and state which study designs support which measure.
- Explain confounding, identify a plausible confounder in a described study, and say how it would distort the result.
- Perform a direct age standardisation and explain why comparing crude rates across populations with different age structures is misleading.
Before the final heaviest topics
- Explain the social, environmental and policy determinants of health and the determinants of the determinants.
- Discuss health inequities in Aotearoa New Zealand, including ethnicity data recording versus reporting, and the relevance of Te Tiriti o Waitangi.
- Apply the Haddon matrix, including its third dimension, to an injury prevention scenario.
- Compare population-based and high-risk individual prevention strategies, and calculate and interpret sensitivity and specificity for a screening test.
The mistakes that cost marks
Confusing incidence with prevalence. Incidence counts new cases over a period; prevalence counts existing cases at a point. A condition can have low incidence and high prevalence if people live with it for a long time, and the exam tests exactly this.
Reporting relative risk when the question wants impact. Relative risk describes association strength; the risk difference describes how many extra cases occur. A large relative risk on a rare outcome may have negligible population impact.
Comparing crude rates across populations. Populations with different age structures cannot be compared on crude rates. Without standardisation the comparison measures age, not health.
Treating an association as causal. Population health writing is judged partly on epistemic care. State what the design supports and name what would be needed to strengthen a causal claim.
Teaching team
Who teaches POPLHLTH111
The bios below are factual. We do not rate lecturers; any star ratings are submitted by students who have taken POPLHLTH111.
Daniel Exeter
Directs POPLHLTH 111 in Epidemiology and Biostatistics, School of Population Health, University of Auckland.
Dennis Hsu
Coordinates POPLHLTH 111, delivering the course welcome and running course announcements.
Teaching team as listed in public course information. AskSia does not rate lecturers; star ratings are submitted by students who have taken POPLHLTH111.
Formula & concept sheet
The vocabulary and formulas you must own
- Incidence
- The number of new cases arising in a defined population over a specified period, expressed as a proportion or a rate.
- Prevalence
- The number of existing cases in a defined population at a point in time, driven by both incidence and how long the condition lasts.
- Relative risk
- The risk in the exposed group divided by the risk in the unexposed group. A ratio describing the strength of an association.
- Risk difference
- The risk in the exposed minus the risk in the unexposed. Describes the excess cases attributable to exposure and therefore the public health impact.
- Odds ratio
- The odds of exposure in cases divided by the odds of exposure in controls. The measure of association available from a case-control study.
- Confounding
- Distortion of an apparent association by a third factor related to both exposure and outcome and not on the causal pathway between them.
- Direct age standardisation
- Applying the age-specific rates of each population to a common standard population, producing rates that can be compared without age structure interfering.
- Sensitivity
- The proportion of people who truly have the condition that a screening test correctly identifies as positive.
- Specificity
- The proportion of people who truly do not have the condition that a screening test correctly identifies as negative.
- Determinants of health
- The social, economic, environmental and policy conditions that shape health outcomes across a population, beyond individual behaviour or biology.
- Health inequity
- A difference in health outcomes between groups that is systematic, avoidable and considered unjust, as distinct from a mere difference.
- Haddon matrix
- An injury prevention framework crossing host, agent and environment factors with the pre-event, event and post-event phases, with a third dimension covering cost, freedom, stigmatisation, preferences and unforeseen consequences.
Common acronyms: BHSc · CVD · GATE · OR · RR · SES.
Set texts
The prescribed reading
The syllabus references map straight onto these.
Course readings and GATE notes, including Runyan on the Haddon matrix and Ministry of Health Ethnicity Data Protocols
Various, curated by the course.
Where it fits
Prerequisites, related courses & why it matters
POPLHLTH 111 is a Stage 1 course aligned to the Bachelor of Health Sciences graduate profile. Delivery is three one-hour lectures per week, broadcast live and recorded, plus four two-hour workshops across the semester.
Your POPLHLTH111 study toolkit
Study the course with Sia, not just read about it
Each tool already knows POPLHLTH111: your syllabus, your texts, and where the marks are. Grouped by how you study, from first contact to exam week.
FAQ
Frequently asked questions
Is POPLHLTH 111 hard?
It rates moderate. The epidemiological calculations are straightforward arithmetic once you know which measure to use, and there is no hurdle beyond an overall 50%. The parts students find harder are the group workshop programme, worth 29%, and the precision the exam expects when interpreting statistics.
How much of the grade is group work?
The workshop programme is 29% and is run as group work, comprising four group assignments plus a presentation and a reflection with peer evaluation. That is a substantial share of the grade depending on a team, which is why the peer evaluation component exists.
Do I need to be good at maths?
No, but you need to be careful. The calculations are ratios, proportions and weighted averages. What the course tests is whether you choose the right measure and interpret it correctly, not whether you can perform difficult mathematics. Age standardisation is the most involved procedure and it is still arithmetic.
Is there a textbook?
No single textbook is prescribed. The course runs on a readings list delivered through Canvas alongside GATE notes. Named readings include Runyan's two papers on the Haddon matrix, the Ministry of Health Ethnicity Data Protocols chapters 4 and 5, and a historical overview of the Treaty of Waitangi.
What is the GATE framework?
GATE stands for Graphical Appraisal Tool for Epidemiology. It is a structured way of laying out a study so that its design, population, exposure, comparison and outcome are visible at a glance, which makes it easier to identify what a study can and cannot support.
What should I focus on for the exam?
Past practice tests weight measures of disease frequency, measures of association and screening statistics heavily, because those have determinate answers. Make sure you can calculate and interpret incidence, prevalence, relative risk, odds ratios, sensitivity and specificity, and can perform a direct age standardisation.
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