Epidemiology and Global One Health
Explores the One Health framework to examine how globalization and ecological change drive infectious disease emergence and health disparities in the Anthropocene.
Summary
Recent recorded grades — Fall 2020: 3.96 GPA, 100.0% A/AB (n=25 letter grades); Fall 2021: 3.85 GPA, 100.0% A/AB (n=10 letter grades); Fall 2025: 3.89 GPA, 94.7% A/AB (n=19 letter grades).
What you’ll be able to do
Utilize global health data to identify public health disparities, monitor trends in emerging infectious diseases (EIDs), and assess the ecological and environmental conditions that promote disease emergence, particularly under the forces of climate change and demographic shifts.
Define and apply key concepts related to EIDs (e.g., hosts, vectors, reservoirs, and transmission cycles), differentiate between EIDs and endemic diseases, and use epidemiological principles to improve population health and reduce disparities
Quantitatively and qualitatively assess past infectious disease outbreaks (e.g., Zika, Ebola, West Nile virus, and malaria) to understand successes and failures in management, intervention strategies, and quantitative models of disease transmission, including R 0 and compartmental modeling.
Examine the roles of public health, veterinary, and agricultural agencies in managing and preventing EIDs and propose strategies to address the impacts of global environmental changes on disease emergence through interdisciplinary collaboration.
Investigate ethical and practical considerations in global health research, with a focus on One Health principles, and explore how interdisciplinary approaches can address emerging public health challenges in the Anthropocene.
Source: UW Guide
Grade history
↗All recorded terms · compare terms & instructors
Prerequisites
Course mapGraduate/professional standing
- Graduate/professional standing
This is a best-effort interpretation; check the catalog requirements above.
Prerequisite text tree
- Graduate/professional standing
Professors
Spring 2027No instructors recorded for this selection.
Historical instructors & teaching patterns
Recorded history may be incomplete and does not establish a future schedule.
Calendar & sections
Spring 2027Schedule loads here as you scroll.
| Section | Mode | Enrolled / capacity | Waitlist |
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Times are Central. Select a meeting for details; export includes recorded dates for the selected sections.
Meeting source records
Student experience
the class
Recent recorded grades — Fall 2020: 3.96 GPA, 100.0% A/AB (n=25 letter grades); Fall 2021: 3.85 GPA, 100.0% A/AB (n=10 letter grades); Fall 2025: 3.89 GPA, 94.7% A/AB (n=19 letter grades).
difficulty & workload
No workload feedback recorded.
Topics
- Epidemiology of infectious diseases and determinants of health across populations.
- Case studies on zoonotic diseases, pandemics, and outbreak management responses.
- Cross-disciplinary integration of veterinary, medical, ecological, and public health perspectives.
Skills
- Utilize global health data to identify disparities and monitor emerging infectious disease trends.
- Apply epidemiological principles and define key concepts of emerging infectious diseases.
- Assess disease outbreaks using quantitative models like R0 and compartmental modeling.
- Propose interdisciplinary strategies for managing emerging infectious diseases across agencies.
Grades
Latest available · Fall 2025— not enough history to project Spring 2027.
Grade distribution · % of letter grades
Grades over time
Through Fall 2025
More grade details Grade mix, volume & source data
Not enough comparable courses for Spring 2027 in UW–Madison.
Sources & history
Catalog & offerings
Descriptions, prerequisites, and recorded course offerings.
Catalog observation history
Observations at scan time; dates do not imply when a catalog change took effect.
Selected offering source records
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Raw records
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Student reviews
Original comments behind the course and instructor summaries.
Read original reviews
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Grade history
Recorded grade distributions by term, section, and instructor.
Explore recorded gradesRecorded 2026-10-14
Model outputs & technical records
LLM outputs across runs
Full model traces
Recorded model configuration, reasoning, and tool conversations.
Model & dataset provenance
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"output_id": "83d6eca6d81fb2664d8d8d505ade4d47a03a55050657794bde5130b150a05059",
"requirements_status": "valid",
"dataset_revision": "fc1811fa52e581ea57a35c0cf3343f8740a8ffbf",
"observed_at": "2026-10-14 17:50:09.728220+00:00"
}