Uncertainty Quantification in Zip Code Tabulation Area-Level Breast Cancer Screening: A Bayesian Geospatial Analysis in Hillsborough County, Florida.

Bhaveshsai Reddy, Aarya Satardekar, Namit Choudhari, Benjamin G Jacob, Rishil Shah, Anusha Parajuli

Abstract read

In one paragraph

Article in International journal of environmental research and public health, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Bhaveshsai ReddyCollege of Arts and Sciences, University of South Florida, Tampa, FL 33620, USA.

Aarya SatardekarCollege of Public Health, University of South Florida, Tampa, FL 33620, USA.ORCID 0009-0004-3749-8401

Namit ChoudhariSchool of Geosciences, University of South Florida, Tampa, FL 33620, USA.ORCID 0000-0003-0038-0456

Benjamin G JacobCollege of Public Health, University of South Florida, Tampa, FL 33620, USA.

Rishil ShahBellini College of Artificial Intelligence, Cybersecurity and Computing, University of South Florida, Tampa, FL 33620, USA.

Anusha ParajuliCollege of Public Health, University of South Florida, Tampa, FL 33620, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Geographic variation (GV) in screening patterns for breast cancer exists among Zip Code Tabulation Areas (ZCTAs) in Florida, but most spatial analyses are based on frequentist point estimates which do not formally represent uncertainty. This study used a three-stage analytical approach to the breast cancer screening data at the zip code tract (ZCTA) level in Hillsborough County, Florida (

Indexed as

Breast NeoplasmsEarly Detection of CancerBayes TheoremFemaleFloridaHumansMass ScreeningMiddle AgedSpatial AnalysisUncertaintyBayesian regressionbreast cancer screeninggeospatial modelinghealth disparitiesMoran’s Inegative binomial modelPoisson modelsmall-area analysisspatial epidemiologyZIP Code Tabulation Area

Identifiers

PMID42512215

DOI10.3390/ijerph23070911

PMCPMC13409909

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

None linked

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.