ArticleSpatial and spatio-temporal epidemiology2020
Developing a surveillance system of sub-county data: Finding suitable population thresholds for geographic aggregations.
Article in Spatial and spatio-temporal epidemiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
8 citing papers in PubMed.
- Hierarchical clustering for disentangling population vulnerability to asthma.Environmental advances · 2026Article
- Evaluating methods to define place of residence in Canadian administrative data and the impact on observed associations with all-cause mortality in type 2 diabetes.BMC medical research methodology · 2025Article
- Examining select sociodemographic characteristics of sub-county geographies for public health surveillance.Population health metrics · 2024Article
- Capturing emergency dispatch address points as geocoding candidates to quantify delimited confidence in residential geolocation.International journal of health geographics · 2023Article
- Feasibility of visualizing cancer incidence data at sub-county level: Findings from 21 National Program of Cancer Registries.Spatial and spatio-temporal epidemiology · 2023Article
- Area deprivation index and segregation on the risk of HIV: a U.S. Veteran case-control study.Lancet regional health. Americas · 2023Article
- COVID-19 Community Incidence and Associated Neighborhood-Level Characteristics in Houston, Texas, USA.International journal of environmental research and public health · 2021Article
- Environmental Public Health Tracking, an untapped resource for occupational health.Journal of occupational and environmental hygieneArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
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.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.