Article ; Online: Developing a surveillance system of sub-county data: Finding suitable population thresholds for geographic aggregations.
Spatial and spatio-temporal epidemiology
2020 Volume 33, Page(s) 100339
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 ... ...
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. |
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MeSH term(s) | Adolescent ; Adult ; Aged ; Aged, 80 and over ; Asthma/epidemiology ; Child ; Child, Preschool ; Female ; Health Status Disparities ; Humans ; Infant ; Lung Neoplasms/epidemiology ; Male ; Middle Aged ; Population Surveillance ; Spatial Analysis ; United States/epidemiology ; Young Adult |
Language | English |
Publishing date | 2020-03-06 |
Publishing country | Netherlands |
Document type | Journal Article ; Research Support, Non-U.S. Gov't ; Research Support, U.S. Gov't, Non-P.H.S. |
ZDB-ID | 2515896-X |
ISSN | 1877-5853 ; 1877-5845 |
ISSN (online) | 1877-5853 |
ISSN | 1877-5845 |
DOI | 10.1016/j.sste.2020.100339 |
Database | MEDical Literature Analysis and Retrieval System OnLINE |
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