OPEN TO RESEARCH COLLABORATION & ADVISORY | ACCRA, GHANA
VALENTINE GOLDEN GHANEM • MLS (CORU) ACSLM AHPC FRSPH VvE
Principal Biomedical Scientist, epidemiologist and public health researcher

I turn scattered field data into the pattern that stops an outbreak

Valentine Golden Ghanem is a Ghanaian medical scientist, epidemiologist and public health researcher with over a decade of experience in diagnostic medicine and data-informed health systems. He is Principal Biomedical Scientist at Cocoa Clinic, Ghana Cocoa Board. His work combines laboratory medicine, epidemiology, clinical data science, spatial analysis and machine learning to strengthen disease surveillance and reduce health inequities.

Explore District Data Surveillance Map
Research Profiles ORCID Google Scholar Web of Science SciProfiles
Portrait of Valentine Golden Ghanem, Principal Biomedical Scientist, epidemiologist and public health researcher
Cocoa Clinic, Ghana Cocoa Board
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Years in Clinical & Public Health Practice
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Individuals Screened in Outreach
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Ghana Districts in Spatial Models
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Peer-Reviewed Publications
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Preprints
FIELD EPIDEMIOLOGY & CLINICAL LABORATORY LEADERSHIP

Laboratory diagnostics interpreted through spatial epidemiology.

As Principal Biomedical Scientist at Cocoa Clinic (COCOBOD), Valentine leads diagnostic laboratory operations and applies spatial statistics and machine learning to HIV/AIDS surveillance and health-insurance access across Ghana's 261 districts.

“To connect diagnostic evidence with public health action through reproducible analysis, digital tools and decision systems designed for African health settings.”

— Valentine Golden Ghanem, FRSPH
FRSPH 140437 (UK) ACSLM / CORU 12474 (Ireland) GAMLS AS 1206 (Ghana) VvE 1637 (Netherlands)
Publications Index CV Summary
ACCRA, GHANA
Valentine Golden Ghanem

Valentine Golden Ghanem

MLS (CORU) · ACSLM · AHPC · FRSPH · VvE

01

01 — Identity & Evolution

Dual Precision: Clinical Lab + Data Science

Valentine Golden Ghanem combines quality-assured laboratory practice with spatial epidemiology and machine learning to strengthen disease surveillance. Further detail is available on the About page.

Clinical science. Public health intelligence.

A medical scientist translating laboratory evidence into population action.

Valentine Golden Ghanem's work spans clinical laboratory leadership, field epidemiology, Ghana district analysis and applied data science. He applies diagnostic quality, infectious-disease surveillance, spatial analysis and machine-learning models to practical public-health decisions.

Clinical laboratory leadership
Public health epidemiology and surveillance
Spatial analytics, GIS, and machine learning
02

02 — Expertise

Multidisciplinary Practice Matrix

Relative emphasis across clinical practice, public-health work, spatial analytics and applied modelling. These values are not proficiency scores.

HI-EI Component 01

Lab Quality

Diagnostic accuracy, workflow discipline, quality control and audit-ready laboratory practice anchor the clinical side of the portfolio.

92Relative emphasis Clinical laboratory operationsDomain

Evidence base: Clinical chemistry, haematology, microbiology-aware diagnostics, GeneXpert and real-time PCR workflows.

Output: Reliable laboratory evidence that can move into surveillance, programme decisions and quality-improvement cycles.

The radar shows relative emphasis across Valentine Golden Ghanem's current work. It is not a proficiency score.

01

Clinical Laboratory & Quality Leadership

Clinical laboratory practice grounded in diagnostic accuracy, workflow discipline, and quality-managed service delivery.

Practice base Clinical chemistry, haematology, microbiology-aware diagnostics, GeneXpert and real-time PCR workflows. Quality frame ISO 15189 thinking, internal quality control, external quality assurance and audit-ready documentation. Operational output High-throughput laboratory coordination, result integrity, biosafety awareness and service-improvement decisions.
02

Public Health Epidemiology & Surveillance

Public-health work framed around disease prevention, early signal recognition, community reach and practical response planning.

Core domains Communicable-disease epidemiology, screening outreach, outbreak intelligence and health-systems strengthening. Programme lens Vaccination coverage, WASH context, service access, field realities and vulnerable-population considerations. Decision output Surveillance summaries that help teams move from observation to targeted sampling, escalation or outreach.
03

Spatial Epidemiology & Ghana District Analytics

Spatial intelligence that treats place as evidence, especially where district patterns reveal inequity, clustering or service gaps.

Methods Moran's I, bivariate LISA, choropleth mapping, district centroids and field-activity geocoding. Geography Ghana's 261-district administrative structure, regional comparisons and district-level public-health interpretation. Tools ArcGIS, Folium, GeoJSON, Python mapping workflows and interactive map interfaces.
04

Data Science, Modelling & Decision Dashboards

Applied modelling and dashboard design that produce interpretable, reproducible and inspectable health evidence.

Modelling stack Python, R, Random Forest, Ridge Regression, XGBoost, SVR and SHAP explainability. Research signal HIV/AIDS incidence forecasting, spatial risk interpretation and clinical/public-health data synthesis. Interface output Streamlit dashboards, model files, reproducible scripts and interactive decision-support artifacts.
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03 — Spatial Intelligence

Ghana Health Intelligence Atlas

Move between Ghana's 16 regions and 261 districts to compare population context, social determinants, health-service coverage and selected outcomes represented in Valentine Golden Ghanem's research repositories. A map selection immediately updates the evidence card.

Map view
Map colour
Bespoke HI-EI atlas engine · ECharts SVG Regional SDG health score
Aggregating 16 regional summaries...
Preparing Ghana's regional and district boundaries

Rendered by the site's bespoke HI-EI ECharts engine from 16 dissolved regional boundaries, 261 district boundaries and seven canonical 261-row tables selected from a 53-file master-CSV inventory. The live card separates demographics and structural determinants; insurance and education; SDG, WASH, services and outcomes; nutrition and anaemia; maternal health; immunisation; and ranked structural vulnerability. Regional values are population-weighted summaries and describe geographic context, not individual risk.

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04 — Academic Repository

Publications & Preprints

Six connected records: three peer-reviewed articles, two active preprints and one citable data-and-software deposit. Each record keeps its scholarly status, source and limitations visible.

Peer-reviewed
3
journal articles
Preprints
2
under review or awaiting review
Data + software
1
citable repository record
Peer-reviewed Cureus · 2026

Spatial and Machine Learning Analysis of District-Level Health Insurance Inequities in Ghana

Examines NHIS non-enrolment across Ghana's 261 districts using bivariate LISA and an interpretable classification tree. The study identifies 42 high-risk districts and shows how illiteracy, poverty and access barriers intersect.

Bivariate LISACART261 districts

District-level ecological analysis; associations do not establish individual-level causation.

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05 — Portfolio

Selected Projects & Models

Open the systems behind the research: reproducible pipelines, Ghana district models, source-provenance audits and interactive dashboards.

Browse the complete portfolio