Article

Spatial and Machine Learning Analysis of Breast and Cervical Cancer Screening Uptake in Ghana: Evidence from the 2022 Ghana Demographic and Health Survey

2026-08-18

Abstract excerpt

<h4>Background</h4> Breast and cervical cancer screening in Ghana remains low, and several analyses of the Ghana Demographic and Health Survey (GDHS) have already shown that wealth, education, and place of residence pattern who gets screened [1–3]. Whether this patterning clusters geographically below the level of administrative region has not been tested for this population, and whether cluster-aware machine lea...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work: 576f1bfd-0ec4-5249-894f-5398abf2bbb1
DOI: 10.64898/2026.08.15.26360510

Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest

Spatial and Machine Learning Analysis of Breast and Cervical Cancer Screening Uptake in Ghana: Evidence from the 2022 Ghana Demographic and Health SurveyDOI 10.64898/2026.08.15.26360510Read

Cervical cancer screening uptake and its associated factor in Sub-Shara Africa: a machine learning approachSemantic proximity Read

Nationwide cervical precancer screening in Ghana: concurrent HPV DNA testing and visual inspection under an expanded hub-and-spoke modelSemantic proximity Read

Changing malaria infection prevalence in Ghana 2011-2025: a multi-diagnostic spatiotemporal analysisSemantic proximity Read

An Epidemiological Study of Cervical and Breast Screening in India: District-Level AnalysisSemantic proximity Read

Phenotype Discovery and Geographic Disparities of Late-Stage Breast Cancer Diagnosis across U.S. Counties: A Machine Learning Approach.Semantic proximity Read

Mammogram Uptake from Social Determinants of Health Can Be Lost in Translation to Individual PatientsSemantic proximity Read

Assessing Knowledge, Uptake and Factors associated with cervical cancer screening among women in selected communities of Wakiso District in Uganda: A population-based studySemantic proximity Read

Demographic Calibration Gaps in Breast Cancer Risk Prediction: Introducing the Demographic Calibration Gap ScoreSemantic proximity Read

Determinants and spatial variations of Korea’s National Cancer Screening Program in 2018 and 2022: Focus on Weighted Ordinary Least Squares Regression and Local Indicators of Spatial AssociationSemantic proximity Read

Predicting Adequate Antenatal Care Utilization Among Pregnant Women in Kenya: A Comparative Machine Learning Study Using the Kenya Demographic and Health SurveySemantic proximity Read

Digital Surveillance Bias as an Implementation Failure in Pediatric Tuberculosis Control: Development and Application of the Diagnostic Equity and Geographic Index in Northern NigeriaSemantic proximity Read

Integrating DHS/MIS Biomarkers with 34 Years of CHIRPS-NDVI Climate Data for Malaria Risk Prediction in Nigeria: A Machine Learning and Spatial Mapping ApproachSemantic proximity Read