DATE

TOPIC

WEEK

Jan 16

Course description, Introduction to spatial analysis in health

1

18

GIS and Spatial Epidemiology  (Supplemental lecture on Spatial Data)

1

23

Lab: Intro Lab and ArcGIS

2

25

Intro to Remote sensing in health research

2`

30

Lab: Data Collection - Malaria in Washington DC

3

Feb 1

Lab: Rates and Epi measures, NDVI

3

6

Scientific visualization & Exploratory Spatial Data Analysis

4

8

Lab:Mapping and Visualization

4

13

Scale, limitations, data error

5

15

Lab:Overlay analysis - spatial associations and scale

5

20

Spatial association and autocorrelation

6

22

Lab: Spatial autocorrelation

6

27

Disease clusters and point pattern analysis

7

Mar 1

Lab: Disease clusters and point pattern analysis, Part 1

7

6

Applications of pattern analysis

8

8

Lab: Disease clusters and point pattern analysis, Part 2

8

13

Geostatistical techniques (kriging, variograms, interpolation)

9

15

Lab: Kriging and other interpolation

9

17-25

Spring Break

10

27

Lab:  Work on term projects

11

29

Landscape ecology and spatial filtering.  Additional resource – Fractals and fourier analysis

11

Apr 3

Lab: Lyme disease model

12

5

Lab: Environment and Disease / Landscape ecology

12

10

Spatial Epidemiology in a wider context. Guest Lecture: Prof. Sara McLafferty: GIS and public health- societal and institutional issues

13

12

Lab:  Work on term projects

13

17

Lab:  Work on term projects

14

19

Class Reports

14

24

Class Reports
 

15

26

Class Reports
 

15

27

Final Papers Due
 

16