ArticleSpatial and spatio-temporal epidemiology2022
The effect of pre-aggregation scale on spatially adaptive filters.
Article in Spatial and spatio-temporal epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
What it found
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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.
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Who cites it
3 citing papers in PubMed.
- Breast Cancer Champions: a peer-to-peer education and mobile mammography program improving breast cancer screening rates for women of African heritage.Cancer causes & control : CCC · 2023Article
- Estimating Uninsured and Underinsured Women Eligible for Minnesota's Breast Cancer Screening Program.Research square · 2023Article
- Geography, inequities, and the social determinants of health in transplantation.Frontiers in public health · 2023Review
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Authors and funding
4 authors.
Funding
Abstract
Choropleth mapping continues to be a dominant mapping technique despite suffering from the Modifiable Areal Unit Problem (MAUP), which may distort disease risk patterns when different administrative units are used. Spatially adaptive filters (SAF) are one mapping technique that can address the MAUP, but the limitations and accuracy of spatially adaptive filters are not well tested. Our work examines these limitations by using varying levels of data aggregation using a case study of geocoded breast cancer screening data and a synthetic georeferenced population dataset that allows us to calculate SAFs at the individual-level. Data were grouped into four administrative boundaries (i.e., county, Zip Code Tabulated Areas, census tracts, and census blocks) and compared to individual-level data (control). Correlation assessed the similarity of SAFs, and map algebra calculated error maps compared to control. This work describes how pre-aggregation affects the level of spatial detail, map patterns, and over and under-prediction.
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Registered trials
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