Global Health Analytics for Targeted Prevention
Ebele Mogo, DrPH
ERIM Consulting
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We help health organizations target prevention where it will have the biggest impact.
Services
Build Data Foundations
We design data systems that enable population-level risk stratification and intervention tracking.Identify High-Impact Opportunities
We use data-driven methods to pinpoint populations at greatest risk and determine where targeted interventions will be most effective.
Turn Evidence into Action
We translate complex analyses into clear visualizations and actionable strategies that enable evidence-based intervention deployment and build organizational capacity for continuous learning.
About Dr. Ebele Mogo
Dr. Ebele Mogo is a Doctor of Public Health working at the intersection of data science, evidence synthesis, and population health. Her work focuses on syndemic prevention—identifying populations where multiple health conditions interact and determining which targeted interventions can have the greatest impact.
Her research experience spans the University of Cambridge, McGill University, WHO, UNICEF, and the Gates Foundation. She serves on the board of the Campbell Collaboration and the steering group of the University of Cambridge Centre for Human-Inspired Artificial Intelligence.
Through ERIM Consulting, she helps health organizations move from broad prevention strategies to precision targeting—translating data and evidence into actionable strategies that strengthen health systems and improve population health outcomes.
Select Work
Evidence Synthesis & Prevention Research
︎Strategic Analysis of Health Behavior Change in Africa
Conducted strategic analysis of health behavior change initiatives across African contexts, examining implementation approaches and identifying factors associated with successful prevention programs.
︎ Evidence and Gap Map on Children’s Wellbeing
Led evidence synthesis for UNICEF creating a comprehensive evidence and gap map on inclusive interventions in low- and middle-income countries, informing strategic investment priorities.
Data Analytics
︎ NCD Prevention Behaviors During COVID-19
Analyzed social media engagement patterns around non-communicable disease prevention behaviors during lockdowns in Nigeria, generating insights on maintaining prevention messaging during public health emergencies.
︎ Neighborhood-Level Access and Health Promotion
Analyzed crowdsourced data on health-promoting program availability across Canadian cities, linking geographic distribution with neighborhood deprivation indices to reveal opportunities to improve resource allocation for prevention.
Reach out
Open to collaborative engagements around the focus areas listed above. Reach out on LinkedIn