Unit outline_

PUBH5400: One Health

Semester 1, 2025 [Normal day] - Camperdown/Darlington, Sydney

The One Health unit explores the vast landscape of disease transmission among humans, animals, and their ecosystems. This unit has a strong focus on zoonotic diseases, which are those infections that can be transmitted from animals to humans, but also explores disease transmission more broadly through ecosystems. The unit first defines the biological, ecological, environmental, social, and economic contexts of pathogens. Relevant surveillance, analytical, and prevention strategies are then described and applied to several regional and global case studies. Specific case studies will include anthrax, avian influenza, hemorrhagic fevers, Henipavirus infections, Ross River virus, and Lyme disease. The unit's philosophical and methodological approaches to infectious disease are grounded in the unique One Health paradigm, which recognises the relationships between human, animal, and ecosystem health as inextricably linked and with each foundational to the improvement of all. Students will appreciate how One Health approaches provide exceptional utility in investigating and controlling infectious diseases in urban, peri-urban, and rural contexts especially where human-livestock-wildlife interfaces have emerged from human-altered landscapes. These interfaces currently present some of the world's most significant conduits of emergent disease and therefore delineate critical challenges for global health in the 21st century. Moreover, a better understanding of these interfaces opens intriguing possibilities for leveraging habitat and climate conservation in the interests of public health.

Unit details and rules

Academic unit Public Health
Credit points 6
Prerequisites
? 
None
Corequisites
? 
None
Prohibitions
? 
None
Assumed knowledge
? 

None

Available to study abroad and exchange students

No

Teaching staff

Coordinator Michael Walsh, michael.walsh1@sydney.edu.au
Lecturer(s) Michael Walsh, michael.walsh1@sydney.edu.au
The census date for this unit availability is 31 March 2025
Type Description Weight Due Length
Assignment AI Allowed Final field project
Written assessment
60% Formal exam period
Due date: 08 Jun 2025 at 23:59
2500 words
Outcomes assessed: LO1 LO2 LO3 LO4
Small test AI Allowed Assessment 1: Mid-semester quiz
Written quiz
15% Week 08
Due date: 16 Apr 2025 at 23:59
90 minutes.
Outcomes assessed: LO2 LO3 LO4
Small test AI Allowed Assessment 2: Final quiz
Written quiz
15% Week 13
Due date: 28 May 2025 at 23:59
90 minutes
Outcomes assessed: LO1 LO2 LO3 LO4
Online task Tutorial case study critique
Weekly post of case study critique to group participation Discussion board
10% Weekly n/a
Outcomes assessed: LO1 LO2 LO3 LO4
AI allowed = AI allowed ?

Assessment summary

  • Assessment 1 is a 90 minute multiple choice and short answer quiz.
  • Assessment 2 is a 90 minute multiple choice and short answer quiz.
  • Assessment 3 is a weekly critique of One Health cases studies we review in the tutorials; these will be posted to a group Discussion board for each module.
  • Assessment 4 is a 2500 written essay identifying a potential public health problem at a wildlife-human interface and describing a One Health solution.
  • Although generative artificial intelligence (AI) is allowed for your assessments, it is imperative that you keep the following in mind: The concepts addressed and evaluated in the assessments are drawn directly from the material presented and discussed in lectures, tutorials, and our field site visit. Some of the problems we cover in this class may not necessarily have definitive solutions. There may be topics that are as yet unresolved in the field. Moreover, although exciting and engaging, many of the ecological concepts will be new to students. As such, this unit presents what the unit coordinator has determined represents the best evidence base as it is currently understood, as well as the methods that employ best practice as that is currently understood and accepted. There are many sources an AI system can draw from to answer a question or generate a statement (many of which can be very wrong!) that would be contrary to what we have covered in class. As such, the unit coordinator will spend a good deal of time in class throughout the semester to provide specific guidance with respect to individual components of assessments as we cover specific topics and relate the topics to those assessments. In general, and as a corollary to the above, it is also strongly recommended that generative AI only be used to aid with grammar and spelling rather than as a tool for developing core concepts. We will spend a great deal of time throughout the semester relating core concepts and peer-reviewed evidence to assessments with the intent to obviate the need for using AI to generate ideas and instead limit its use to cleaning up sentence structure.  

Assessment criteria

The University awards common result grades, set out in the Coursework Policy 2014 (Schedule 1).

As a general guide, a high distinction indicates work of an exceptional standard, a distinction a very high standard, a credit a good standard, and a pass an acceptable standard.

Result name

Mark range

Description

High distinction

85 - 100

 

Distinction

75 - 84

 

Credit

65 - 74

 

Pass

50 - 64

 

Fail

0 - 49

When you don’t meet the learning outcomes of the unit to a satisfactory standard.

For more information see guide to grades.

Use of generative artificial intelligence (AI) and automated writing tools

Except for supervised exams or in-semester tests, you may use generative AI and automated writing tools in assessments unless expressly prohibited by your unit coordinator. 

For exams and in-semester tests, the use of AI and automated writing tools is not allowed unless expressly permitted in the assessment instructions. 

The icons in the assessment table above indicate whether AI is allowed – whether full AI, or only some AI (the latter is referred to as “AI restricted”). If no icon is shown, AI use is not permitted at all for the task. Refer to Canvas for full instructions on assessment tasks for this unit. 

Your final submission must be your own, original work. You must acknowledge any use of automated writing tools or generative AI, and any material generated that you include in your final submission must be properly referenced. You may be required to submit generative AI inputs and outputs that you used during your assessment process, or drafts of your original work. Inappropriate use of generative AI is considered a breach of the Academic Integrity Policy and penalties may apply. 

The Current Students website provides information on artificial intelligence in assessments. For help on how to correctly acknowledge the use of AI, please refer to the  AI in Education Canvas site

Late submission

In accordance with University policy, these penalties apply when written work is submitted after 11:59pm on the due date:

  • Deduction of 5% of the maximum mark for each calendar day after the due date.
  • After ten calendar days late, a mark of zero will be awarded.

This unit has an exception to the standard University policy or supplementary information has been provided by the unit coordinator. This information is displayed below:

Students are required to complete assessments 1 and 2, the midterm and final quiz, on the assigned due dates. For Assessment 3, students are required to complete their posting to the Discussion board before the end of the week (i.e. 11:59pm Sundays) in which each case study is reviewed. Failure to post by that time will result in zero points for that week's posting. Assessment 4 is worth 60% of the student's final mark. Failure to complete the assessment on the due date will result in a loss of 5% per day, unless the student has received prior written permission from the Unit Coordinator for a late submission.

Academic integrity

The Current Student website provides information on academic integrity and the resources available to all students. The University expects students and staff to act ethically and honestly and will treat all allegations of academic integrity breaches seriously.

We use similarity detection software to detect potential instances of plagiarism or other forms of academic integrity breach. If such matches indicate evidence of plagiarism or other forms of academic integrity breaches, your teacher is required to report your work for further investigation.

Simple extensions

If you encounter a problem submitting your work on time, you may be able to apply for an extension of five calendar days through a simple extension.  The application process will be different depending on the type of assessment and extensions cannot be granted for some assessment types like exams.

Special consideration

If exceptional circumstances mean you can’t complete an assessment, you need consideration for a longer period of time, or if you have essential commitments which impact your performance in an assessment, you may be eligible for special consideration or special arrangements.

Special consideration applications will not be affected by a simple extension application.

Using AI responsibly

Co-created with students, AI in Education includes lots of helpful examples of how students use generative AI tools to support their learning. It explains how generative AI works, the different tools available and how to use them responsibly and productively.

Support for students

The Support for Students Policy reflects the University’s commitment to supporting students in their academic journey and making the University safe for students. It is important that you read and understand this policy so that you are familiar with the range of support services available to you and understand how to engage with them.

The University uses email as its primary source of communication with students who need support under the Support for Students Policy. Make sure you check your University email regularly and respond to any communications received from the University.

Learning resources and detailed information about weekly assessment and learning activities can be accessed via Canvas. It is essential that you visit your unit of study Canvas site to ensure you are up to date with all of your tasks.

If you are having difficulties completing your studies, or are feeling unsure about your progress, we are here to help. You can access the support services offered by the University at any time:

Support and Services (including health and wellbeing services, financial support and learning support)
Course planning and administration
Meet with an Academic Adviser

WK Topic Learning activity Learning outcomes
Week 01 The One Health paradigm Lecture and tutorial (3 hr) LO1 LO4
Week 02 Infectious organisms Lecture and tutorial (3 hr) LO2
Week 03 Infection dynamics Lecture and tutorial (3 hr) LO1 LO2 LO3
Week 04 Zoonotic Disease Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4
Week 05 Surveillance Mechanisms Lecture and tutorial (3 hr) LO1 LO3 LO4
Week 06 Land Use, Climate, and Biodiversity Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4
Week 07 Ecology and Disease Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4
Week 08 Landscape epidemiology Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4
Week 09 Anthrax Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4
Week 10 Avian influenza and coronaviruses Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4
Week 11 Hendra virus, Ross River virus, and Ebola virus Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4
Week 12 Antimicrobial resistance Lecture and tutorial (3 hr) LO1 LO2 LO3 LO4
Direct observation and description of a human-animal interface in an ecosystem experiencing anthropogenic pressure in metropolitan Sydney Field trip (3 hr) LO1 LO2 LO3 LO4

Attendance and class requirements

Attendance is required for all classes. Lectures are not exclusively didactic, but are also often dialectical in nature and so are generally fun and engaging. There is also ample opportunity for expressing thoughts and ideas about core concepts and case studies through the use of Discussion boards. Although the latter comprises a required assessment, it also provides an additional platform for expression and engagement for students who may be less comfortable engaging with the live discourse in class.  

Study commitment

Typically, there is a minimum expectation of 1.5-2 hours of student effort per week per credit point for units of study offered over a full semester. For a 6 credit point unit, this equates to roughly 120-150 hours of student effort in total.

Required readings

All readings for this unit can be accessed through the Library eReserve, available on Canvas.

Learning outcomes are what students know, understand and are able to do on completion of a unit of study. They are aligned with the University's graduate qualities and are assessed as part of the curriculum.

At the completion of this unit, you should be able to:

  • LO1. Comprehensively understand the One Health paradigm in principal and application
  • LO2. Apply ecological thinking and practice to better understand infectious disease processes
  • LO3. Apply ecological thinking and practice to refine and innovate conventional methods public health control and intervention
  • LO4. Understand the nature of transdisciplinary research and practice in public health using the One Health paradigm as a gold standard guiding principle

Graduate qualities

The graduate qualities are the qualities and skills that all University of Sydney graduates must demonstrate on successful completion of an award course. As a future Sydney graduate, the set of qualities have been designed to equip you for the contemporary world.

GQ1 Depth of disciplinary expertise

Deep disciplinary expertise is the ability to integrate and rigorously apply knowledge, understanding and skills of a recognised discipline defined by scholarly activity, as well as familiarity with evolving practice of the discipline.

GQ2 Critical thinking and problem solving

Critical thinking and problem solving are the questioning of ideas, evidence and assumptions in order to propose and evaluate hypotheses or alternative arguments before formulating a conclusion or a solution to an identified problem.

GQ3 Oral and written communication

Effective communication, in both oral and written form, is the clear exchange of meaning in a manner that is appropriate to audience and context.

GQ4 Information and digital literacy

Information and digital literacy is the ability to locate, interpret, evaluate, manage, adapt, integrate, create and convey information using appropriate resources, tools and strategies.

GQ5 Inventiveness

Generating novel ideas and solutions.

GQ6 Cultural competence

Cultural Competence is the ability to actively, ethically, respectfully, and successfully engage across and between cultures. In the Australian context, this includes and celebrates Aboriginal and Torres Strait Islander cultures, knowledge systems, and a mature understanding of contemporary issues.

GQ7 Interdisciplinary effectiveness

Interdisciplinary effectiveness is the integration and synthesis of multiple viewpoints and practices, working effectively across disciplinary boundaries.

GQ8 Integrated professional, ethical, and personal identity

An integrated professional, ethical and personal identity is understanding the interaction between one’s personal and professional selves in an ethical context.

GQ9 Influence

Engaging others in a process, idea or vision.

Outcome map

Learning outcomes Graduate qualities
GQ1 GQ2 GQ3 GQ4 GQ5 GQ6 GQ7 GQ8 GQ9

This section outlines changes made to this unit following staff and student reviews.

No changes have been made since this unit was last offered.

More information can be found on Canvas.

Additional costs

There are no additional costs for this unit.

Site visit guidelines

There are no site visit guidelines for this unit.

Work, health and safety

There are no specific WHS requirements for this unit.

Disclaimer

The University reserves the right to amend units of study or no longer offer certain units, including where there are low enrolment numbers.

To help you understand common terms that we use at the University, we offer an online glossary.