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PHPS40200

Academic Year 2025/2026

Communicable Disease Epidemiology (PHPS40200)

Subject:
Public Health & Population Sci
College:
Health & Agricultural Sciences
School:
Public Hlth, Phys & Sports Sci
Level:
4 (Masters)
Credits:
5
Module Coordinator:
Dr Helen Kelly
Trimester:
Autumn
Mode of Delivery:
On Campus
Internship Module:
No
How will I be graded?
Letter grades

Curricular information is subject to change.

This module aims to develop knowledge and skills necessary for the application of communicable disease control activities in a variety of settings & populations. It introduces concepts, methods and issues which arise in epidemiological research, or in practical control, of “communicable diseases”.
The learning material is organised in three blocks which overlap and reinforce each other:
Block 1 covers basic concepts and theory, and analytical methods (Weeks 1-3); Block 2 provides an overview of available tools and interventions to control infectious diseases including surveillance (Week 4), control of outbreaks (Week 5); vaccination (Week 6) and community engagement, communication and ethics of public health strategies (Week 7-8); Block 3 covers current and future issues in communicable disease epidemiology and control including antimicrobial resistance, emerging/re-emerging infections and OneHealth concepts (Weeks 9-12). There will be topical lectures on some key infectious diseases throughout the module.
Practical group work (1hr every Tuesday 15.00-16.00 in Weeks 2-7 inclusive) aims to reinforce key learning outcomes of the associated lecture.

Assessment will be based on an essay style question and a multiple-choice-question (MCQ) exam. All assessment components must be completed in order to pass the module


About this Module

Learning Outcomes:

By the end of the module students will have:
1. Understood key concepts in infectious disease epidemiology and public health prevention and control strategies;
2. Applied epidemiological methods to the investigation and management of outbreaks
3. Understood surveillance, the characteristics of different surveillance systems, their strengths and weaknesses, and their application to disease control, the International Health Regulations and notifiable diseases;
4. Examined the issues involved in managing and evaluating vaccination programmes; understand the appropriateness and effectiveness of different vaccines or strategies
5. Understood the important aspects of antibiotic resistance development and prevention
6. Understood communicable disease control strategies for vulnerable, marginalised, and at-risk populations, and to propose alternative strategies;

Indicative Module Content:

• Communicable disease concepts
• Surveillance (national and international)
• Management of outbreak of food poisoning
• Vaccination
• Sexually transmitted infections/HIV
• Respiratory infections
• Vectors and vector borne diseases
• Health care associated infection
• Emerging and re-emerging infections
• Infectious disease modelling

Student Effort Hours:
Student Effort Type Hours
Lectures

16

Tutorial

8

Autonomous Student Learning

88

Total

112


Approaches to Teaching and Learning:
Students will learn through lectures, seminar, tutorial and assignments.

Requirements, Exclusions and Recommendations

Not applicable to this module.


Module Requisites and Incompatibles
Not applicable to this module.
 

Assessment Strategy
Description Timing Component Scale Must Pass Component % of Final Grade In Module Component Repeat Offered
Assignment(Including Essay): Assignment to be completed during the trimester (individual assignment) Week 9 Standard conversion grade scale 40% No
40
Yes
Exam (In-person): MCQ in person exam.
End of Trimester Exam
End of trimester
Duration:
2 hr(s)
Standard conversion grade scale 40% No
60
Yes

Carry forward of passed components
Yes
 

Resit In Terminal Exam
Spring No
Please see Student Jargon Buster for more information about remediation types and timing. 

Feedback Strategy/Strategies

• Feedback individually to students, post-assessment

How will my Feedback be Delivered?

When using generative AI tools, you must do so in a way that upholds academic integrity. The work you submit must be your own. The UCD academic integrity policy (https://www.ucd.ie/philosophy/t4media/Academic_Integrity_Policy.pdf) prohibits students from representing work as their own that they did not write, code or create. Accordingly, submission of AI-generated content without explicit permission and attribution is not allowed. Students are expected to properly acknowledge the use of generative AI in each aspect of their submitted work. If in doubt about how AI is allowed to be used during their studies, students should discuss this with the module organiser and/or programme director.

Name Role
Professor Séamus Fanning Lecturer / Co-Lecturer
Professor Patricia Fitzpatrick Lecturer / Co-Lecturer
Assoc Professor Celine Murrin Lecturer / Co-Lecturer
Assoc Professor Carla Perrotta Lecturer / Co-Lecturer
Professor Akke Vellinga Lecturer / Co-Lecturer

Timetabling information is displayed only for guidance purposes, relates to the current Academic Year only and is subject to change.
Autumn Lecture Offering 1 Week(s) - 1, 2, 3, 5, 11, 12 Tues 14:00 - 15:50
Autumn Lecture Offering 1 Week(s) - 3 Tues 14:00 - 15:50
Autumn Lecture Offering 1 Week(s) - 4, 8 Tues 14:00 - 15:50
Autumn Lecture Offering 1 Week(s) - 6 Tues 14:00 - 15:50
Autumn Lecture Offering 1 Week(s) - 7, 10 Tues 14:00 - 15:50
Autumn Lecture Offering 1 Week(s) - 9 Tues 14:00 - 15:50