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 use laboratory and field data to strengthen outbreak surveillance and response

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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People Screened Through Outreach
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District Records Used in Spatial Analyses
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Peer-Reviewed Articles
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Preprints
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01 — Professional Practice

Clinical Laboratory Science and Public Health Analysis

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.

Laboratory evidence. Public health decisions.

From laboratory evidence to public health decisions.

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
View professional profile

Career and portfolio counts. The outreach total is cumulative and is not an epidemiological study sample.

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02 — Expertise

Multidisciplinary Practice Matrix

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

How the portfolio-emphasis index is calculated

Each domain is coded against the documented portfolio: breadth of practice statements (40%), evidence of repeated application (35%) and documented methods or public outputs (25%). The resulting 0–100 index describes the relative distribution of evidence on this website; it does not measure professional competence.

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 practice focused on disease prevention, surveillance, community screening and response planning.

Core areas Communicable-disease epidemiology, medical screening, outbreak surveillance and health-systems strengthening. Programme context Vaccination coverage, WASH conditions, service access and the needs of populations at greater risk. Practical use Surveillance summaries that inform targeted sampling, escalation and outreach.
03

Spatial Epidemiology & Ghana District Analytics

Spatial analysis of district-level inequities, geographic clustering and gaps in service access.

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 applications HIV/AIDS incidence forecasting, spatial risk interpretation and clinical and public health data synthesis. Technical outputs Streamlit dashboards, model files, reproducible scripts and interactive decision-support tools.
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03 — District Health Evidence

Ghana District Health 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

The map uses 16 regional boundaries, 261 district boundaries and seven complete 261-row analytical tables selected from 53 source CSV files. The evidence card reports demographics and structural determinants, insurance and education, SDG and WASH indicators, services and outcomes, nutrition and anaemia, maternal health, immunisation and structural vulnerability. Regional values are population-weighted summaries of geographic context, not estimates of individual risk.

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04 — Academic Repository

Publications & Preprints

The academic record comprises three peer-reviewed articles, two preprints and one citable data and software deposit. Publication status, source and limitations are stated for every record.

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

Review the code, methods, district models, source checks and dashboards associated with the research.

Browse the complete portfolio