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CSTE Spatial Analysis Workgroup

Maria Patselikos, Evaluation Analyst at CSTESarah New, EpidemiologistMegan Toe, CSTEChelsea Foo, LA CoValerie Haley, NYScott Troppy, Surveillance Epidemiologist at MA DPHElyse Bevers, WASvetlana, Disaster EpidemiologistCarrie Klumb, Senior Epidemiologist, Zoonotic Diseases Unit at Minnesota Department of HealthRacheal Odom, Zoonotic Disease Epidemiologist at Arkansas Department of HealthJessi Joiner, Geospatial Health Data AnalystFatema Mamou, Regional EpidemiologistRany OctariaMeagan Burns, Surveillance Epidemiologist at MA DPHAdam Readhead +236 others
Posted by Maria Patselikos ·

Training Opportunity Available!

The CSTE Spatial Analysis workgroup will be hosting a four-part training series entitled “Using ArcGIS to Examine Clusters and Assess COVID Health Disparities" beginning Wednesday July 27th, 2022! This webinar series will serve as an introduction to more tools specifically with a focus on applications to public health that will prepare you to feel comfortable conducting spatial analysis and health disparities work while also communicating results through the production of high-quality digital maps in an applied learning environment to support public health decision making. Advanced GIS in Public Health is designed to provide introductory level GIS users with an interest in spatial data analysis the opportunity to explore more advanced topics in GIS for spatial analysis. Each session is designed to be a hands-on GIS exercise where attendees will be expected to work with a variety of spatial analysis methods including large spatial data processing, spatial statistics, geostatistics and network analysis. Each session will contain a brief lecture/discussion period on the applications of the tools being discussed in real-world scenarios. The hands-on GIS component will focus on the use of ArcGIS ArcPro, among other software in a Windows environment such as excel. This workshop will also introduce attendees to model builder to create spatial data workflows as well as the basics of exporting Arcpy code to improve automation.
 
Registration will be required to attend the trainings.  Please click here to register. 
 
The first webinar in the series, “Introduction to Advanced GIS and Intro GIS refresher” will be held on Wednesday, July 27th, from 1:30 to 4:30 PM EST. 
 
Session one will be focused on refreshing GIS skills working with ArcGIS Pro as well as Census and American Community Survey data to examine inequities in access to healthcare as it relates to COVID and other diseases:
ü  Use healthcare maps and buffers to overlay with census population data to identify demographic characteristics of at-risk populations
ü  Create a buffer to identify Euclidian distance from hospitals
ü  Create a network distance driving and walking buffer
ü  Use spatial selections and joins to identify at risk population without access to emergency resources 
ü  Create maps and export
 
The second webinar in the series, “Census and American Community Survey” will be held on Wednesday, August 3, from 1:30 to 4:30 PM EST. 
 
Census data downloading for small area-level analyses can be time-consuming and potentially introduce human error if done through the data.census.gov website. The Census has an API for researchers that allows for seamless and instant downloading of data. In this session we will review the Census API downloading methods and we will discuss developing automated methods that can be integrated in R-Cran and SAS to derive measures. The American community survey has noise infused into their data to maintain de-identification, which can introduce measurement error in analyses. This session will teach attendees about the sources of measurement error when using Census and ACS data and how to calculate and assess measurement error to develop a spatial data management workflow that can automate processing.  
ü  Complete a Census API data retrieval
ü  Clean the API data
ü  Integrate into a SAS or R system for data processing and variable derivation
ü  Calculate measures of the index of concentrations for extremes as well as dissimilarity
ü  Calculate and map the coefficient of variation (CV)
ü  Interpret the CV and assess acceptable levels
ü  Identify potential sources of measurement error from spatial aggregation
 
The third webinar in the series, “Spatial Autocorrelation and Cluster Mapping: Analyzing the relationship between COVID-19 and social vulnerability index” will be held on Wednesday, August 10, from 1:30 to 4:30 PM EST. 
This session attendees will learn how to identify trends in the clustering of point densities (counts) in heat maps and assess covariates for spatial autocorrelation. After Session 4, attendees will be able to:
ü  create hotspot maps 
ü  create cluster maps
ü  assess variables for spatial auto correlation
ü  Download and map social determinants of health metrics from ATSDR’s Social vulnerability index
 
The final webinar in the series, “Spatial Autocorrelation and Cluster Mapping: Analyzing the relationship between COVID-19 and social vulnerability index” will be held on Wednesday, August 17, from 1:30 to 4:30 PM EST. 
This session attendees will learn how to Identify trends in the clustering of point densities (counts) in a space-time cube which allows you to examine spatial and temporal trends in data such as intensifying, persistent, diminishing, or sporadic hot and cold spots. After Session 5 attendees will be able to:
1. create a space-time cube netcdf dataset
2. use the emerging hotspot analysis
3. create a hillshade map to display spatial-temporal clusters
 
If you have any questions, please do not hesitate to reach out to us! 

Kind regards,
Maria :)