Geospatial analysis as a tool for identification of potential targetable regions for lung cancer screening interventions in Massachusetts
Fatima G Wilder, Miles McAllister, Anupama Singh, Yue Xie, Emanuele Mazzola, Daniel Wiener, Michael T Jaklitsch, Rian M Hasson · 2025
Read Geospatial analysis as a tool for identification of potential targetable regions for lung cancer screening interventions in Massachusetts by Fatima G Wilder, Miles McAllister, Anupama Singh, Yue Xie, Emanuele Mazzola, Daniel Wiener, Michael T Jaklitsch, Rian M Hasson (2025) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/pmc-12780443.txt.
Description
Fatima Wilder, Miles McAllister, and six peers use maps to find the state zones where lung lump checks would do the most good. The work came out in 2025. The state is Massachusetts, in the far north-east of the land. Lung lump ends split hard by stock and by funds. To catch lumps young, when cuts and aimed drugs work, is the best lever. But take-up of checks is not the same in all zones.
The team pulled each lung lump case in the state list from 2004 to 2020. That is more than 72,000 sick folks. They tied cases to zip-code facts on stock mix and house funds. Their aims were firm. Test if zip code calls the stage at first find. Test if zip code calls the age at first find. Zones where folks show up late and young are the born marks for out-reach work.
Catalog record
| CREATOR | Fatima G Wilder, Miles McAllister, Anupama Singh, Yue Xie, Emanuele Mazzola, Daniel Wiener, Michael T Jaklitsch, Rian M Hasson |
|---|---|
| YEAR | 2025 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 28 KB |
| VERSION | 1.0 |
| LICENSE | CC BY 4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |