OPEN TO RESEARCH COLLABORATION & ADVISORY | ACCRA, GHANA
VALENTINE GOLDEN GHANEM • MLS (CORU) ACSLM AHPC FRSPH VvE

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 at the intersection of diagnostic medicine and data-driven health systems. He serves as Principal Biomedical Scientist at Cocoa Clinic, Ghana Cocoa Board. His work integrates laboratory medicine, epidemiology, clinical data science, geospatial analytics and machine learning to strengthen disease surveillance and reduce health inequities.

Launch Outbreak Lab Surveillance Map
Research Profiles ORCID Google Scholar Web of Science
Valentine Golden Ghanem
Cocoa Clinic, Ghana Cocoa Board
0
Years in Clinical & Public Health Practice
0
Individuals Screened in Outreach
0
Ghana Districts in Spatial Models
0
Peer-Reviewed Publications
0
Preprints
FIELD EPIDEMIOLOGY & CLINICAL LABORATORY LEADERSHIP

Bridging Laboratory Diagnostics with Spatial Epidemiology.

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

“To bridge the gap between clinical diagnostic medicine and public health systems in Africa by leveraging data science and digital health technologies to build proactive, equitable, and evidence-based disease surveillance and epidemic response frameworks.”

— 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

Combining rigorous wet-lab diagnostic accuracy with spatial epidemiology and machine learning to strengthen disease surveillance. Full detail on the About page.

Clinical science. Public health intelligence.

A medical scientist translating laboratory evidence into population action.

Valentine Golden Ghanem connects clinical laboratory leadership, field epidemiology, Ghana district analytics, and applied data science. His portfolio sits where diagnostic quality, infectious-disease surveillance, spatial intelligence, and machine-learning models meet practical public-health decisions.

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

02 — Expertise

Multi-Disciplinary Technical Matrix

Relative emphasis across clinical practice, public-health work, spatial analytics and applied modelling. Not a measured proficiency score.

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.

Relative emphasis only. The radar visualises the shape of Valentine Golden Ghanem's current portfolio; it is not a scored proficiency test.

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 used to turn datasets into understandable, reproducible and inspectable health intelligence.

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.
03

03 — Published Work Signal Lab

Spatial Epidemiology Concept Explorer

A guided interaction based on themes from Valentine Golden Ghanem's published spatial and machine-learning work: clustering, structural risk, coverage, environmental pressure and response priority. It is an explanatory interface, not a clinical prediction tool.

Surveillance Signal Controls

Transmission / Exposure Signal65%
Structural Vulnerability Index45%
Service Coverage / Protective Reach55%
Seasonal / Environmental Pressure+120mm
Illustrative spatial clustering index
I = +0.72
STRONG CLUSTERING SIGNAL
Outbreak Probability Score74%
Interpretation Note

Interpretation: this interface explains how clustered signals can change as structural, coverage and environmental inputs shift. It is not a validated predictive model.

*Concept explorer, not a validated predictive model Read the real publications →
04

04 — Spatial Intelligence

Ghana District Intelligence Preview

A lightweight homepage preview of the real 261-district Ghana GeoJSON used by the full Field Map. Select or click a district point to update the permanent inspector card.

District Inspector

Loading district layer

Reading assets/data/ghana-districts.geojson

Coverage
261
Region
--
Population
Not in file
Year Created
Not in file

This homepage preview uses the real boundary dataset. The current GeoJSON exposes district name and region; population and year-created fields can be added once a vetted district attribute table is merged.

Open the full Field Map →
05

05 — Academic Repository

Publications & Preprints

A concise evidence shelf for Valentine Golden Ghanem's peer-reviewed publications, preprints, data repositories and model artifacts across HIV, NHIS inequities, infectious-disease forecasting and spatial epidemiology.

3
Peer-reviewed publications
2
Preprints / repository records
261
District-scale spatial work
06

06 — Portfolio

Selected Projects & Models

Dashboards, models, algorithms, datasets and clinical research records that show the working side of the publications: data pipelines, forecasting tools, GIS outputs and laboratory science projects.

View the full Portfolio page →
Curriculum Vitae Overview

Valentine Golden Ghanem

Medical Laboratory Scientist · Epidemiologist · Public Health Researcher

Executive Summary

Valentine Golden Ghanem is a Ghanaian medical scientist, epidemiologist and public health researcher with over a decade of experience at the intersection of diagnostic medicine and data-driven health systems. He serves as Principal Biomedical Scientist at Cocoa Clinic, Ghana Cocoa Board. His work integrates laboratory medicine, epidemiology, clinical data science, geospatial analytics and machine learning to strengthen disease surveillance and reduce health inequities.

Education

• Master of Science in Data Science — University of East London, Distinction

• Master of Science in Public Health — University of Suffolk, Merit

• Bachelor of Science in Medical Laboratory Science — University of Ghana

Key Licensures & Fellowships

• Royal Society for Public Health (Fellow) — FRSPH 140437

• Academy of Clinical Science and Laboratory Medicine — ACSLM 12474

• Ghana Association of Medical Laboratory Scientists — GAMLS AS 1206

• Vereniging voor Epidemiologie — VvE 1637

Download Full CV
Enlarged