AVADAR Data Assistant (G4) at World Health Organization (WHO)

Purpose of the Position

• The Nigerian national authorities have intensified efforts to continuously interrupt wild poliovirus transmission within the shortest time possible.
• Therefore, a strong AFP surveillance system is crucial to detect and investigate cases early. A strong community surveillance linked with ACS to priority health facility is proved to effective in many countries.
• Therefore, a new innovative approach in making the surveillance system sensitive is crucial to make sure that we are not missing any cases in the community. Auto- Visual AFP Detection and Reporting (AVADAR) was piloted in two LGAs in Nigeria and the result has shown that it increases both the number of cases detected and the geographical distribution of case reporting.
• After reviewing the result of the pilot an agreement is reached to implement this initiative in other 11 states across 62 LGAs with persistent surveillance gaps.
• There is need for data management of the project at state level for continuous monitoring and supervision of the project.

Objectives of the Programme

• To sustain the present gains of the Polio Eradication program, AVADAR project was deployed to increase the sensitivity of AFP detection and reporting using smart phones and AVADAR application to send AFP alert to DSNO. This innovative solution allows monitoring and provide real time analytics for information collected using the electronic tools. The incumbent will be responsible for:
• The main objective of the post is to assist the implementation of AVADAR in the state through data coalition, cleaning and transmission. Supportive supervision and providing on site trainings to HWs and CIs.

Duties and Responsibilities
Under the overall guidance of the PEP/Polio Focal Person and over all supervision of Zonal Coordinator and guidance of the State Coordinator; the AVADAR Data Assistant will carry out the following specific task:

Coordination:

• Working with the project assistant to ensure that the data flow and reporting of all health facilities on the project from the field level to the state and eventually to national level.
• Support with data analysis feedback for both weekly, monthly and quarterly meetings
• Perform other responsibilities that may be required of him

Operations:

• Support the field staff on the data management component of the project
• Support technically in terms of the data and ensure that SOPs are followed in LGA implementation sites
• Support with configuration of phones and resolving issues to end users
• Support the quarterly review meeting of the project
• Provide monthly feedback analysis on the project including tracking information of the project indicators
• Track and attend to complain related to the project from the informants and health workers
• Support the quarterly review meeting of the project

Cross Cutting Tasks:

• Support the design and implementation of electronic and mHealth data collection tools
• Support in the disease alerts from the communities

Requirements
Eduaction:

• Essential:  Completion of Secondary School Education, Technical Certificate, or Diploma in Computer Science, Statistics, Data Management etc. from an accredited institution.
• Desirable: University degree or its equivalent in Computer Science, statistics, data management etc. from an accredited institution.

Experience:

• Essential: 2 to 4 years’ working experience in data management with WHO or agencies of the United Nations.
• Desirable: Experience in data collection, analysis, dissemination, and use of health information for program planning and management.
• 3 years of job-related experience, preferably field work in a development project sector across Nigeria. Preferably, experience in electronic data collection using ODK or an equivalent combination of education and experience, is preferred.

Competencies:

• Communication
• Producing results
• Fostering integration and teamwork
• Moving forward in a changing environment
• Respecting and promoting individual and cultural differences.

Functional Skills and Knowledge:

• Ability to organize and provide training for community informants and health workers
• Ability to work effectively with colleagues and partners at state and LGA levels
• Ability to monitor progress
• Computer software proficiency including MS Word, Excel, PowerPoint and ODK.
• Willingness and ability to travel extensively within the state of assignment.

Languages:

• Excellent knowledge of English