TY - JOUR
T1 - Lessons Learned from the Environmental Public Health Tracking Sub-County Data Pilot Project
AU - Sub-County Data Project Workgroup
AU - Werner, Angela K.
AU - Strosnider, Heather
AU - Kassinger, Craig
AU - Shin, Mikyong
AU - Burt, Preston
AU - Chaganthi, Madhusudan
AU - Charleston, Alex
AU - David, Felicita
AU - Eatman, Shana
AU - Namulanda, Gonza
AU - Sullivan, Richard
AU - Smith, Matthew
AU - Duclos, Chris
AU - Jordan, Melissa
AU - Decker, Kathy
AU - Paulu, Chris
AU - Lincoln, Rebecca
AU - Smith, Andrew
AU - Insaf, Tabassum
AU - Hwang, Syni A.N.
AU - Muscatiello, Neil
AU - Talbot, Tomas
AU - Erickson, Craig
AU - MacDonald, Steven
AU - Patrick, Glen
AU - Kelen, Patrick Vander
AU - Anderson, Henry
AU - Camponeschi, Jenny
AU - Christensen, Krista
AU - Christenson, Megan
AU - Creswell, Paul
AU - Werner, Mark
AU - Kirtland, Brian
AU - Strategic, Ross
AU - Parker, Megan
N1 - Funding Information:
This was supported in part by an appointment to the Research Participation Program at the Centers for Disease Control and Prevention administered by the Oak Ridge Institute for Science and Education through an interagency agreement between the US Department of Energy and the Centers for Disease Control and Prevention. The findings and conclusions in this report are those of the authors and do not necessarily represent the official position of the Centers for Disease Control and Prevention. The authors declare no conflicts of interest. Correspondence: Mikyong Shin, DrPH, MPH, RN, Division of Environmental Hazards and Health Effects, National Center for Environmental Health, Centers for Disease Control and Prevention, 4770 Buford Hwy NE, MS F60, Atlanta, GA 30341 (mshin@cdc.gov).
Publisher Copyright:
© 2018 Wolters Kluwer Health, Inc. All rights reserved.
PY - 2018/9/1
Y1 - 2018/9/1
N2 - Objective: Small area data are key to better understanding the complex relationships between environmental health, health outcomes, and risk factors at a local level. In 2014, the Centers for Disease Control and Prevention's National Environmental Public Health Tracking Program (Tracking Program) conducted the Sub-County Data Pilot Project with grantees to consider integration of sub-county data into the National Environmental Public Health Tracking Network (Tracking Network). Design: The Tracking Program and grantees developed sub-county-level data for several data sets during this pilot project, working to standardize processes for submitting data and creating required geographies. Grantees documented challenges they encountered during the pilot project and documented decisions. Results: This article covers the challenges revealed during the project. It includes insights into geocoding, aggregation, population estimates, and data stability and provides recommendations for moving forward. Conclusion: National standards for generating, analyzing, and sharing sub-county data should be established to build a system of sub-county data that allow for comparison of outcomes, geographies, and time. Increasing the availability and accessibility of small area data will not only enhance the Tracking Network's capabilities but also contribute to an improved understanding of environmental health and informed decision making at a local level.
AB - Objective: Small area data are key to better understanding the complex relationships between environmental health, health outcomes, and risk factors at a local level. In 2014, the Centers for Disease Control and Prevention's National Environmental Public Health Tracking Program (Tracking Program) conducted the Sub-County Data Pilot Project with grantees to consider integration of sub-county data into the National Environmental Public Health Tracking Network (Tracking Network). Design: The Tracking Program and grantees developed sub-county-level data for several data sets during this pilot project, working to standardize processes for submitting data and creating required geographies. Grantees documented challenges they encountered during the pilot project and documented decisions. Results: This article covers the challenges revealed during the project. It includes insights into geocoding, aggregation, population estimates, and data stability and provides recommendations for moving forward. Conclusion: National standards for generating, analyzing, and sharing sub-county data should be established to build a system of sub-county data that allow for comparison of outcomes, geographies, and time. Increasing the availability and accessibility of small area data will not only enhance the Tracking Network's capabilities but also contribute to an improved understanding of environmental health and informed decision making at a local level.
KW - census tract
KW - environmental health
KW - lessons
KW - small area
KW - sub-county
KW - surveillance
KW - tracking
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U2 - 10.1097/PHH.0000000000000686
DO - 10.1097/PHH.0000000000000686
M3 - Article
C2 - 29227419
AN - SCOPUS:85052608416
VL - 24
SP - E20-E27
JO - Journal of Public Health Management and Practice
JF - Journal of Public Health Management and Practice
SN - 1078-4659
IS - 5
ER -