Simisola Adedeji
M&E Officer · WHO Nigeria · Over nine years architecting surveillance systems, digital health infrastructure, and evidence-driven programme evaluation.
If your health system isn't converting data into decisions, this is the work I do.
- Designed M&E frameworks across 25 WHO programmes, improving polio surveillance sensitivity by 40% and raising immunisation data quality from 54% to 81%.
- Led Mpox outbreak surveillance across 27 LGAs, coordinating 231 case investigations with findings published in peer-reviewed literature.
- Directed emergency surveillance for COVID-19, Cholera, and cVPV2, coordinating 53,000+ case investigations and cutting outbreak confirmation time by 60%.
- Work aligned to IHR core capacity strengthening, UHC service monitoring, and SDG 3 health security targets across West Africa.
Areas of Expertise
Digital Health Systems
Implementing technology-driven solutions that strengthen health systems: from digital surveillance infrastructure to data-powered M&E tools deployed at national scale.
M&E That Drives Change
Designing M&E frameworks at WHO that move beyond compliance, linking indicators directly to programme decisions and tracking outcomes that matter.
Outbreak Surveillance
Building and operating real-time surveillance systems for infectious disease detection, turning early signals into coordinated response before outbreaks scale.
Education
PhD, Global Health & Health Systems (In Progress)In Progress
EUCLID University
Master of Public Health (MPH)
Texila American University
B.Sc. Public Health
Babcock University, Nigeria
From signal to strategic response
Over nine years of global health systems work, distilled into a single intelligence chain. Every layer builds on the last: raw community signals transformed into decisions that protect lives at scale.
This is not theory. Each node represents systems I have built, deployed, or optimised within WHO programmes across Africa.
COMMUNITY SIGNALS
Field-level reports, community health workers, passive and active sentinel surveillance.
EARLY DETECTION
Alert thresholds, rapid case detection, zero-reporting mechanisms at health facility level.
INTELLIGENT SURVEILLANCE SYSTEM
Integrated real-time outbreak monitoring operating at district, state, and national scale.
DIGITAL HEALTH LAYER
DHIS2 · SORMAS · ODKInteroperable platforms enabling end-to-end data capture, case investigation, and automated reporting.
M&E FRAMEWORK
Indicators, targets, and accountability structures directly linked to programme decisions.
DATA-TO-DECISION
Analytics pipelines that translate raw surveillance data into clear, time-sensitive action.
STRATEGIC RESPONSE
with SYSTEM STRENGTHENINGEvidence-based outbreak response co-delivered with sustained IHR capacity building.
IMPACT
Measurable health outcomes at population scale: cases averted, systems resilient, communities protected.
How I approach every system
SYSTEM THINKING
Design beyond silos
Build integrated health systems where surveillance, M&E, and digital infrastructure reinforce each other, not operate in isolation. Every component must serve the whole.
DATA-TO-DECISION
Turn insight into action
Translate complex health data into clear, timely decision-support that field teams and policymakers can act on without delay. Data only matters if it moves systems.
EQUITY & IMPACT
Reach the most vulnerable first
Ensure interventions are inclusive, geographically disaggregated, and designed to close gaps in underserved communities. Impact is measured by who you reach last.
ACCOUNTABILITY & TRUST
Deliver with transparency
Strengthen systems that are auditable, reproducible, and held to the highest standards of scientific and institutional integrity. Trust is built through consistent evidence.
How I Work
The Data-to-Action Compression Model
A three-phase approach developed across WHO programmes and outbreak response, for compressing the distance between health data and the decisions that improve outcomes.
Phase 1
System Clarity
Diagnose the gap.
Map what data the system is generating, what decisions need to be made, and where the disconnect lives. Most failures begin here: not with bad data, but with no clear line from data to decision.
Phase 2
Structural Alignment
Align people, systems, and process.
Redesign the M&E or surveillance architecture so that data flows to the right people at the right time. This is stakeholder alignment, workflow redesign, and system configuration. Not just tools.
Phase 3
Execution at Scale
Deliver measurable outcomes.
Implement with discipline: training, data quality protocols, feedback loops, and dashboards that stakeholders actually use. Measure the outcome, not just the output, and course-correct in real time.
Applied across M&E design at WHO Nigeria, Mpox surveillance across 27 LGAs in Imo State, and community health programme evaluation at LiveWell Initiative.
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