I am a public health and One Health professional working at the intersection of epidemiology, disease surveillance, monitoring & evaluation, health data, and digital health systems.
My work focuses on turning complex health data into evidence, surveillance intelligence, and practical decision-support tools — with a particular interest in infectious diseases, zoonoses, primary healthcare, and integrated One Health surveillance.
One Health & Epidemiology Understanding health problems across human, animal, and environmental systems.
Disease Surveillance Analysing surveillance data, reporting patterns, geographic distribution, temporal signals, and data-quality limitations.
Public Health Data Working with health information systems and analytical tools to transform programme and surveillance data into usable evidence.
Digital Health & Health Informatics Designing practical digital solutions for frontline reporting, data integration, GIS-enabled surveillance, and low-connectivity environments.
Monitoring & Evaluation Translating programme data into performance insights, accountability, and decision support.
Digital One Health surveillance & public-health informatics
A prototype surveillance platform connecting human, animal, and environmental health information, with a focus on frontline reporting and low-connectivity settings.
Focus: One Health · Digital Surveillance · USSD · Offline Workflows · GIS · Data Integration · RCCE
Public-health programme monitoring & performance intelligence
An interactive surveillance and monitoring dashboard designed to bring together epidemiological trends, programme indicators, geographic intelligence, and data-quality perspectives.
Focus: Epidemiology · Surveillance · M&E · Data Quality · Epi-week Analysis · Data Visualization
Reproducible epidemiological analysis
A reproducible analysis of reported livestock brucellosis surveillance data from Nigeria's WOAH WAHIS quantitative dataset.
The analysis deliberately separates reported surveillance events from disease burden and documents what the dataset can and cannot support.
Focus: Epidemiology · Zoonoses · Brucellosis · One Health · WAHIS · Python · Surveillance Analysis
Interactive livestock disease surveillance intelligence
An interactive dashboard translating the WAHIS brucellosis surveillance extract into reporting coverage, temporal patterns, geographic distribution, species/category analysis, data-quality assessment, and record-level exploration.
Focus: Disease Surveillance · Epidemiology · Data Visualization · One Health · React · TypeScript · WAHIS
Epidemiology Disease Surveillance One Health Monitoring & Evaluation Health Information Systems
Python Excel Power BI SQL DHIS2 KoboToolbox ODK
TypeScript React Next.js Vite GIS Supabase Git GitHub
- One Health surveillance
- Zoonotic and infectious diseases
- Epidemiology and disease surveillance
- Health information systems
- Public health data analytics
- Digital health
- Primary healthcare information systems
- Monitoring, evaluation and learning
- GIS and spatial health analysis
- Data quality and surveillance systems
- Integrated human–animal–environment health approaches
I am particularly interested in research and applied projects that strengthen the connection between:
Surveillance → Data → Analysis → Evidence → Decision → Action
with a focus on building health systems that are both scientifically rigorous and practically usable.
Portfolio: Jibriva
GitHub: @hellojibriva
ORCID: ORCID Profile
Better surveillance creates better evidence. Better evidence creates better decisions.