Experience

African Field Epidemiology Network (AFENET)

• Non-profit Organizations
• 200 - 300 Employee

• Technical Advisor Health Informatics

  • Mar 2019 - Present

  • Provide technical support. roll out and monitor implementation of the electronic Case Based Disease Surveillance (eCBDS) nationwide. • Build capacity of MOHS staff in Information Technology and Information Systems (IT/IS) as related to DHIS2 with a focus on implementation and monitoring of eCBDS • Serve as a liaison between key IT/IS stakeholders involved with surveillance data in DHIS2. • Integrate surveillance systems to the existing epidemiology training programs in Sierra Leone. • Capacitate MOHS to assess CBDS data quality and monitor trends over time, including comparison of paper-based CBDS reporting to eCBDS • Document and publish progress on the implementation of eCBDS in Sierra Leone. • Develop a transition plan for how MOHS will assume ownership (after this position’s term ends) of monitoring implementation of eCBDS, gauging the added value of eCBDS, and assessing data quality on a continual basis Show less



HISP Uganda

• Kololo, Uganda

• Information Systems Analyst

  • Apr 2017 - Present

  DHIS2 development and implementation Nationally and Internationally. Conducting DHIS2 and other Information systems training. Supporting organisations, MoH and NGOs on DHIS2 implementation. DHIS2 development and implementation Nationally and Internationally. Conducting DHIS2 and other Information systems training. Supporting organisations, MoH and NGOs on DHIS2 implementation.



MIFUMI Uganda

• Database Manager

  • Feb 2014 - Mar 2017

  1. Work alongside a wide range of people internal and external to ensure the database answers important monitoring and evaluation questions. 2. Inter phase with the M&E department on outcomes tracking, project team heads on performance management, and the communications teams on external reports 3. Provide training and support to non-technical people within the organization to understand how to use MIFUMI system and ensure it’s used properly. 4. Database design, Setting up and testing new database and data handling systems 5. Monitoring database efficiency, Designing and preparing reports for management. 6. Developing protocols for data processing, and Creating query definitions that allow data to be extracted. 7. Training colleagues in how to input and extract data Show less