Programme/Approved Electives for 2026/27
None
Available as a Free Standing Elective
No
Infectious diseases represent a significant threat to the human population and require a multi-disciplinary, global approach.We will explore the importance of epidemiology in investigating disease and health outcomes; the role of the laboratory in establishing relationships between organisms and outbreaks; antimicrobial therapy and alternatives; and the local and global response to communicable disease.We will employ a number of individual- and population-based case studies. The aim is to consolidate your learning by providing an opportunity to apply your knowledge and understanding to real-world scenarios, giving you an authentic insight into current issues faced by those working in the field.
Aims
This module aims to develop and enhance students' understanding of the prevention, treatment and control of infectious diseases. They will develop key analytical skills for assessing, investigating, and evaluating infection prevention programmes, outbreak investigations, and treatment options.
Intended Learning Outcomes
Evaluate the role of epidemiology in the investigation and prediction of communicable disease outbreaks: 2Critically assess the use and stewardship of antimicrobial therapy and alternatives: 1,2Appraise the current published guidance to disease outbreak management on a local and global scale and relate that to current research and publications: 2Explain the requirement of a multi-disciplinary approach to clinical outcomes of communicable disease: 2Critically assess scientific publications, test methodologies and clinical guidelines regarding the treatment and prevention of communicable disease: 1Evaluate the current and proposed reduction and eradication programmes to tackle infectious disease: 1Critically appraise the capabilities, limitations, ethical considerations, and potential biases of AI-generated content.: 1
Active Learning Hours1 x 2 hr intro tutorial1 x 3hr CBL: introduction to the cases4 x 2hr CBL tutorials10 x 2 hr seminars2 x 2hr assessment workshops8 x 10 hours of engagement with asynchronous content4 x 4 hours preparation for case study tutorialsIndependent Study Hours30 hours completing the critique70 hours of preparation for the short answer question based on the case study exercise67 hoursof independent study
Description of Module Assessment
1: Assignment weighted 30%750-1000 word critical evaluationStudents will be asked to select a specific disease/treatment from a pre-selected list. They will then use AI technologies to evaluate current and future treatment approaches for that disease/organism.
Students will then submit a 750-1000-word critique of the AI-generated material with particular reference to the evidence base presented in current literature.
2: Exercise weighted 70%Short answer questions relating to a patient or cohort case studyStudents will receive a patient case study in the second half of the module. This will be accompanied by 4 short-answer questions for them to complete, which will require students to provide detailed answers that draw on the material studied and independent research, and directly apply and interpret clinical guidelines for the given patient/case. The deadline will be during the assessment period. Each question will be equally weighted and have a word limit of 500 +/_ 10%.