1. NSF Digital Government surveillance geoinformatics project, federal agency partnership and national applications for digital governance.

2. Geoinformatic hotspot surveillance system

3. Geographic and Network Surveillance for Arbitrarily Shaped Hotspots
Center for Statistical Ecology and Environmental Statistics
G.P. Patil, R. Acharya, W.L. Myers, P. Patankar, Y. Cai, and S.L. Rathbun
The Penn State University, University Park, PA 16802
R. Modarres
George Washington University, Washington, D.C.
Overview
Geospatial Surveillance
Upper Level Set Scan Statistic System
Spatial-Temporal Surveillance
Typology of Space-Time Hotspots
Hotspot Prioritization
Ranking Without Having to Integrate Multiple Indicators
Surveillance Geoinformatics for Hotspot Detection, Prioritization, Early Warning and Sustainable Management
Upper Level Set Scan System
Definition: A hotspot is that portion of the study region with an elevated risk of an adverse outcome
Example: West Nile Virus
First isolated in 1937, this mosquito born disease, indigenous to north Africa, the Middle East and west Asia was first introduced into the United States in 1999.
Example: Lyme Disease
Infections from the bacterium Borelia burgdorfei vectored by ticks from the genus Ixodes.
Example: Human-environment indicator values for 16 European countries.
Changing Connectivity of ULS as Level Drops g
Comparison of ULS Scan with Cylindrical Scan
ULS Scan
Disease Count Quintiles
Population Quintiles
Year
Disease Rates
Cylindrical Scan
Features of ULS Scan Statistic:
Identifies arbitrarily shaped hotspots
Applicable to data on a network
Confidence sets and hotspot ratings
Computationally efficient
Generalizes to space-time scan
1997
1998
Haase Diagram
Poset Prioritization System
Objective: Prioritize or rank hotspots based on multiple indicator and stakeholder criteria without having to integrate indicators into an index, using Haase diagrams and partially ordered sets.
Example: Prioritization of disease clusters with Multiple Indicators
Disease Rate Quintiles
Likelihood Quintiles
1999
2000
There are a total of 3,764,448 admissible linear extensions. The cumulative rank function for Sweden exceeds that of all remaining countries. The crf’s of all countries dominate that of Ireland. The remaining countries cannot be uniquely ordered based on their crf’s. Belgium, Netherlands and United Kingdom have identical crf’s.
Comparison of ULS Scan with Circular Scan
2001
ULS Scan
Circular Scan
Admissible linear extensions are comprised of rankings compatible with the rankings of all indicators. Treating each linear extension as a voter, the cumulative rank function is obtained from the frequencies at which each object receives each rank.
2002
2003
The crf’s also form a partially ordered set. There are only 182 admissible linear extensions for this poset, yielding the cumulative rank function:
Federal Agency Partnerships
CDC DOD EPA NASA NIH NOAA USFS USGS
Confidence set for ULS Hotspot
Hotspot Membership Rating
National Applications and Case Studies
Biosurveillance
Carbon Management
Costal Management
Community Infrastructure
Crop Surveillance
Disaster Management
Disease Surveillance
Ecosystem Health
Environmental Justice
Sensor Networks
Robotic Networks
Environmental Management
Environmental Policy
Homeland Security
Invasive Species
Poverty Policy
Public Health
Public Health and Environment
Syndromic Surveillance
Social Networks
Stream Networks
One more iteration yields the rankings in the data table.

4. Demonstration Example Data
Population
Cases
Disease Rate
Likelihood

5. Demonstration Example Upper Level Set Tree: Cells12 9 2 1 3 4 5 6 7 8 13 14 15 16 17 18 19 11 10

6. Demonstration Example Upper Level Set Tree: Zones12 9 2 1 3 4 5 6 7 8 13 14 15 16 17 18 19 11 10
[3]
[3,18]
[3,18,0]
[8]
[3,18,0,4]
[17]
[8,7]
[14]
[3,18,0,4;8,7;19]
[17,16]
[17,16;14;15]
[3,18,0,4,8,7,19,5;17,16,14,15;11]

7. ULS Scan ULS Scan Disease Rate Hotspots using ULS 133.78 120.90 0.19
31.55
31.22
19.33
Disease Rate
Hotspots using ULS
ULS Scan
Hotspot Hotspot 2
(red) (orange)
Log Likelihood
133.78
120.90
p-value
0.19
0.395
Relative Risk
2.05
2.37

8. Confidence Set for ULS Hotspot Hotspot membership rating

9. ULS Scan (With modified rates)
216.82
3.09
1.58
0.12
Disease Rate
Hotspots using ULS
ULS Scan
Hotspot 1
(red)
Log Likelihood
216.82
p-value
0.03
Relative Risk
15.46

10. Confidence Set for ULS Hotspot Hotspot membership rating