IDCE30360
SPATIAL ANALYSIS FOR HEALTH
- Department
- Int'l Dev'l, Community, Envir
- Terms offered
- 2
- Data refreshed
- Jun 27, 2026
Description
Section information text: This graduate-level course provides an introduction to Geographic Information Science and its application in public health research and practice. Each week incorporates a lecture and a computer lab that focuses on a health-care issue. Topics covered may include mapping disease rates, analyzing health outcomes, access to health care and health resources, environmental justice, exposure assessment, and social determinant of health. Students will learn how to visualize and analyze health-related and demographic data, and how to geocode tabular data. They will have the opportunity to develop their GIS skills using commercial and open source GIS software and to conduct their own independent research on a topic of their interest. Concentrations Monitoring, Evaluation, and Effectiveness - Gender and Identity - Health Equity - Healthy People, Healthy Planet
Syllabi
Sign in with your @clarku.edu email to view syllabi.
Offering history & forecast 2018–2020
| Year | Fall | Spring | Summer | Intersession |
|---|---|---|---|---|
| 2030 | 2030 Fall: 7% chance, medium confidence. Offered in 0 of 9 fall terms since 2018. | 2030 Spring: 13% chance, medium confidence. Offered in 2 of 9 spring terms since 2018. | 2030 Summer: 7% chance, medium confidence. Offered in 0 of 9 summer terms since 2018. | 2030 Intersession: 8% chance, medium confidence. Offered in 0 of 6 intersession terms since 2020. |
| 2029 | 2029 Fall: 6% chance, medium confidence. Offered in 0 of 10 fall terms since 2017. | 2029 Spring: 13% chance, medium confidence. Offered in 2 of 9 spring terms since 2018. | 2029 Summer: 6% chance, medium confidence. Offered in 0 of 10 summer terms since 2017. | 2029 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2028 | 2028 Fall: 5% chance, medium confidence. Offered in 0 of 11 fall terms since 2016. | 2028 Spring: 13% chance, medium confidence. Offered in 2 of 9 spring terms since 2018. | 2028 Summer: 5% chance, medium confidence. Offered in 0 of 11 summer terms since 2016. | 2028 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2027 | 2027 Fall: 5% chance, high confidence. Offered in 0 of 12 fall terms since 2015. | 2027 Spring: 13% chance, medium confidence. Offered in 2 of 9 spring terms since 2018. | 2027 Summer: 5% chance, high confidence. Offered in 0 of 12 summer terms since 2015. | 2027 Intersession: 6% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2020 | Not offered | 1 section | Not offered | Not offered |
| 2019 | Not offered | Not offered | Not offered | No data for this term |
| 2018 | Not offered | 1 section | Not offered | No data for this term |
Future estimates combine recent offering frequency with detected multi-year cycles. Hover a cell for confidence and evidence; low-confidence estimates are marked with ~.
Meeting times
Most recent first- Mon, Thu, 1:25 PM–2:40 PM JC103 2018-1
- Fri, 3:00 PM–4:15 PM JC103 2018-2
| Term | Professor | Type | Credits | Enrollment | CRN |
|---|---|---|---|---|---|
| Spring 2020 | Yelena Ogneva-Himmelberger | Lecture | 1 | 14 of 20 enrolled | 37867 |
| Spring 2018 | Yelena Ogneva-Himmelberger | Lecture | 1 | 21 of 20 enrolled | 36536 |