)f using our site, 
:over them! We 
Lat we can keep 
nprovements to 
e 
tionary view of 
eds will change 
ervices must be 
ovide more and 
} site, and more 
ysis needs. We 
n each module 
i a module, or 
r users, we will 
r site. We hope 
0 provide addi- 
continuous: we 
ng modules by 
>ermit students 
milation of the 
designed to al- 
sssively deeper 
;e of treatment 
profound. Fur- 
oving old mod- 
modules, giv- 
>f materials to 
More student- 
,ted (based on 
to expand the 
nd analyses in- 
md with an ex- 
tations on the 
or the mills of 
1 analyze their 
emporal ways. 
3 developing in 
ids, we are cre- 
srarchical spa- 
>ped with Ge- 
iffith, of Syra- 
ì of a new ser 
ine math tutor 
- an on-line resource to mathematics that epi 
demiologists and public health professionals 
find essential. One of the most serious skills 
lacking in our pool of students was mathe 
matical sophistication, and we seek to address 
that need. 
In the meantime, we approach the next year 
with a complete course in hand, one which will 
evolve with us as we increase our own knowl 
edge and as we seek to “...provide students 
with the knowledge, theory, and methodolog 
ical skills for analyzing and interpreting the 
spatial patterns of various diseases in order to 
elucidate underlying exposure processes giv 
ing rise to the observed patterns.” In this late 
stage of our grant we hope to begin increasing 
our distribution of the materials and the site. 
It is our great hope that many others will find 
our site worthy of a visit, and perhaps even 
an extended stay, as the richness of the site 
continues to grow\ 
References 
[1] BioMedware, Ann Arbor, MI. Gamma: 
Software for Statistical Inference with Spa 
tial Data., 1999. 
[2] GeoMed Home Page, 
http: / /www. sph.umich.edu/~aelon/etc. 
1999. Maintained by Andrew Long. 
[3] GRASS Home Page, 
http://www.baylor.edu/~grass. 
[4] D. A. Griffith. Teaching spatial autocorre 
lation by simulation. Journal of Geography 
in Higher Education, 11(2), 1987. 
[5] G. M. Jacquez. St at! Statistical Soft 
ware for the Clustering of Health Events. 
BioMedware, Ann Arbor, MI, 1994.