Developing a surveillance system of sub-county data: Finding suitable population thresholds for geographic aggregations.

Angela K Werner, Heather M Strosnider
Author Information
  1. Angela K Werner: Division of Environmental Health Science and Practice, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, United States; ORISE Postdoctoral Fellow at the Environmental Public Health Tracking Section, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia, United States. Electronic address: awerner@cdc.gov.
  2. Heather M Strosnider: Division of Environmental Health Science and Practice, National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, GA, United States. Electronic address: hstrosnider@cdc.gov.

Abstract

The Centers for Disease Control and Prevention's National Environmental Public Health Tracking Program created standardized sub-county geographies that are comparable over time, place, and outcomes. Expected census tract-level counts were calculated for asthma emergency department visits and lung cancer. Census tracts were aggregated for various total population and sub-population thresholds, then suppression and stability were examined. A total of 5,000 persons was recommended for the more common outcome scheme and a total of 20,000 persons was recommended for the rare outcome scheme. Health outcomes with a median case count of 17.0 cases or higher should produce stable estimates at the census tract level. This project generated recommendations for three sub-county geographies that will be useful for surveillance purposes: census tract, a more common outcome aggregation scheme, and a rare outcome aggregation scheme. This methodology can be applied anywhere to aggregate geographic units and produce stable rates at a finer resolution.

Keywords

References

  1. J Public Health Manag Pract. 2018 Jul/Aug;24(4):340-349 [PMID: 28492449]
  2. J Public Health Manag Pract. 2015 Jan-Feb;21 Suppl 1:S38-48 [PMID: 25423055]
  3. Prev Chronic Dis. 2016 May 05;13:E59 [PMID: 27149070]
  4. Am J Public Health. 2016 Apr;106(4):621-2 [PMID: 26959263]
  5. Lancet Public Health. 2017 Sep;2(9):e400-e410 [PMID: 29253411]
  6. Annu Rev Public Health. 2012 Apr;33:107-22 [PMID: 22429160]
  7. Health Aff (Millwood). 2006 Jul-Aug;25(4):979-91 [PMID: 16835177]
  8. Spat Spatiotemporal Epidemiol. 2018 Aug;26:153-164 [PMID: 30390931]
  9. Popul Health Metr. 2015 Apr 17;13:11 [PMID: 25931988]
  10. Am J Prev Med. 2004 Jun;26(5):453-60 [PMID: 15165663]
  11. Geospat Health. 2017 May 08;12(1):495 [PMID: 28555467]
  12. Geospat Health. 2016 Apr 18;11(1):304 [PMID: 27087033]
  13. Health Place. 2007 Dec;13(4):812-25 [PMID: 17369075]
  14. Emerg Infect Dis. 2007 Dec;13(12):1816-20 [PMID: 18258029]
  15. J Med Entomol. 2008 Mar;45(2):181-92 [PMID: 18402133]
  16. Health Serv Res. 2015 Oct;50(5):1413-31 [PMID: 26256684]
  17. Int J Obes (Lond). 2014 Jun;38(6):833-9 [PMID: 24037278]
  18. Environ Health Perspect. 2004 Oct;112(14):1409-13 [PMID: 15471734]
  19. Prev Chronic Dis. 2014 Sep 18;11:E159 [PMID: 25232746]
  20. J Public Health Manag Pract. 2018 Sep/Oct;24(5):E20-E27 [PMID: 29227419]
  21. Int J Health Geogr. 2016 Jul 01;15(1):21 [PMID: 27368370]
  22. Value Health. 2015 Sep;18(6):906-14 [PMID: 26409619]
  23. Prev Chronic Dis. 2018 Jan 25;15:E11 [PMID: 29369759]
  24. Environ Health Perspect. 2008 Aug;116(8):1105-10 [PMID: 18709139]

Grants

  1. CC999999/Intramural CDC HHS

MeSH Term

Adolescent
Adult
Aged
Aged, 80 and over
Asthma
Child
Child, Preschool
Female
Health Status Disparities
Humans
Infant
Lung Neoplasms
Male
Middle Aged
Population Surveillance
Spatial Analysis
United States
Young Adult

Word Cloud

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