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Study mode:
on
1
Introduction
2
Outline
3
Background
4
Disease Surveillance
5
Data Sources
6
Outbreaks
7
Types of Spatial Data
8
Interest in Spatial Data
9
Correlation
10
Scatter Plots
11
Spatial Correlation
12
Global Patterns
13
Spiral
14
Data Collection
15
Methodology
16
Methods
17
Results
18
Limitations
19
Future Work
20
Research Training
21
Sponsors
22
Questions
23
Regions
24
Choosing Topics
25
Common Mistake
26
Advice for Students
Description:
Explore spatial data analysis techniques for public health in this 55-minute NAM Claytor-Woodard Lecture delivered by Monica Jackson from American University at the Virtual 2022 Joint Mathematics Meetings. Delve into disease surveillance, data sources, outbreak analysis, and various types of spatial data. Learn about spatial correlation, global patterns, and data collection methodologies. Examine the results, limitations, and future work in this field. Gain insights into research training, choosing topics, and receive valuable advice for students interested in spatial data analysis for public health applications.

Spatial Data Analysis for Public Health

Joint Mathematics Meetings
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