We acknowledge that the UBC Vancouver campus is situated on the traditional, ancestral, and unceded territory of the xʷməθkʷəy̓əm (Musqueam).
We invite you to check out these Winter 2024-2025 Courses that have space available!
SPPH 537: Perinatal Epidemiology
Term 1
Indicators of maternal/newborn well-being across population subgroups, changing trends in obstetrical intervention, perinatal morbidity, and the analysis of perinatal data.
Instructor: Patricia Janssen
Wednesday: 1:30 pm to 4:30 pm
SPPH 501: Analysis of Longitudinal Data from Epidemiological Studies
Term 2
This course will introduce students to concepts and methods in the analysis of correlated data, with special emphasis on longitudinal and hierarchical data, including time series data, multilevel data, and spatial and spatiotemporal data. While the course has a focus on the introduction to the generalize linear mixed effects models, linear models with correlated error terms and generalize linear models with inference via general estimating equations (GEE) will also be taught.
Instructor: Ying MacNab
Tuesday: 2:00 pm to 5:00 pm
SPPH 515: Surveillance and Monitoring of Public Health
Term 2
This course provides students with a strong foundation in the theory of public health surveillance, covering both infectious and chronic diseases. Students get practical experience through the analysis of surveillance data and planning of a surveillance program.
Instructor: Sofia Bartlett
Wednesday: 9:00 am to 12:00 pm
SPPH 581-C: Data Analysis
Term 2
This is a data-driven course that focuses on applying supervised and unsupervised machine learning methods and non-standard analytic problems with healthcare data. The data that will serve as the motivation will be large clinical and administrative databases commonly used in health services research in Canada, such as hospital discharge data. Students in this course will be exposed to, and apply, advanced statistical methods for analyzing sophisticated healthcare-based data problems.
Permission of the instructor is required to register for the course.
Instructor: Jason Sutherland
Monday: 9:00 am to 12:00 pm
SPPH 581-J: Global Health
Term 1
This is a foundational course for those entering the global health stream. Within the context of least developed countries or resource constrained populations this course will address burden of disease estimates, key indicators and principal determinants of health, global intervention strategies, public, NGO and private sector players in global health and their performance.
Instructor: Gina Ogilvie
Tuesday: 9:00 am to 12:00 pm
SPPH 511: Cancer Control and Epidemiology
Term 2
Collection and analysis of epidemiological data on cancer; genetic, occupational and other risk factors; analytic techniques; cancer control, prevention, screening, early detection and policy issues.
Instructor: Rachel Murphy
Monday: 2:00 pm to 5:00 pm
SPPH 520: Control of Communicable Disease
Term 2
Epidemiology of viral, bacterial and parasitic infections with emphasis on the control of these infections in human populations. Immunization programs will be stressed.
Instructor: David Patrick
Monday: 9:00 am to 12:00 pm
SPPH 581-E: Planetary Health
Term 2
The planet is the ultimate health care system. This course on Planetary Health will explore the population health Impacts linked to climate change and wider environmental degradation. Using inequalities and reconciliation as context, we will analyze solutions and approaches including the role of the health system and communities in emergency management/adaptation, mitigation, policy advocacy and communications. We will also highlight current and emerging career options for planetary health.
Instructor: Daryl Quantz & Sue Pollock
Friday: 9:00 am to 12:00 pm
SPPH 681-A: Causal Inference in Public Health Sciences
Term 1
Drawing causal conclusions from observational data is a common task in the public health sciences. The goal of this 3-credit course is to develop knowledge, skills, and competency in causal inference methodology. The course offers in-depth coverage of methods developed over the past three decades. We will look at probabilistic causality, causal diagrams, counterfactuals, mediation analysis, and methods for evaluating treatment effects.
This course is divided into 12 modules. In each module you will find reading material, tutorials, and videos. By the design, they complement each other. The readings introduce the topic, the videos discuss ideas, and the tutorials help you put them into practice. I will also share a wealth of material that you can use both during the course and long after you’ve completed it. The tutorials will use Stata; alternatively, you can apply your R programming knowledge from previous courses. Additional tutorials will teach you how to create and analyze cause and effect diagrams.
Instructor: Boris Sobolev
Monday: 2:00 pm to 5:00 pm
SPPH 512: The Design and Analysis of Clinical Trials
Term 2
Ethical considerations, intention-to-treat versus efficacy trials, principles of sampling and exclusion, methods of allocation and techniques of randomization, parallel versus cross over design, monitoring treatment outcomes, adverse effects, stopping rules, analytic techniques and data interpretation, and logistical issues in the management of clinical trials.
Instructor: Khumbo Kalua
Tuesday: 9:30 am to 12:30 pm
SPPH 523: Global Health and Human Security
Term 2
The COVID-19 pandemic has thoroughly disrupted settled ideas about what security means for a country and its population! Human security, a framework put forward in the 1990s as an alternative to traditional framings of national security argues that security should more appropriately focus on the status of people and not borders – and sees health as being both essential and instrumental. Human security in fact holds that a people-centered view of security is necessary for national, regional and global stability. This multi-dimensional social perspective also provides an alternative to narrowly constructed technical global health narratives, by not only considering access
Instructor: Jerry Spiegel
Monday: 2:00 pm to 5:00 pm