Data Collectors – LQAS Survey (Jigawa) at Malaria Consortium
Malaria Consortium – Established in 2003, is one of the world’s leading non-profit organisations specialising in the comprehensive prevention, control and treatment of malaria and other communicable diseases among vulnerable and under privileged populations. We increasingly find our work on malaria can be effectively integrated with other similar public health interventions for greater impact and therefore expanded our remit to include child health and neglected tropical disease interventions.
Malaria Consortium in collaboration with the National Malaria Elimination Programme (NMEP) is planning to implement a campaign to distribute insecticide-treated nets (ITNs) in Ondo State in August 2025. Malaria Consortium will also implement a monitoring and evaluation (M&E) research in relation to the campaign. Both the campaign and the M&E research are funded by Open Philanthropy based on GiveWell’s recommendation. The project will gather comprehensive data to assess the outcomes of the campaign in terms of ITN coverage, use rates and net durability, as well as to monitor relevant epidemiological indicator such as impact on malaria incidence rates reported from a sample of health facilities across the state.
We are recruiting to fill the position below:
Job Title: Data Collector – LQAS Survey
Location: Jigawa
Purpose of the assignment
- The purpose of this ToR is to engage research personnel that will carry out data collection, analysis and interpretation for EoR evaluation based on LQAS approach. The consultant and the supervisor will train data collectors and oversee data collection processes while other personnel will carry out the actual data collection using an electronic platform.
Scope
- This ToR is to provide details for EoR evaluation that will be conducted in the states where Malaria Consortium is implementing MDA-AZM (Kaduna, Kebbi, Jigawa, Adamawa and Gombe).
- The process will involve identification, selection and training of supervisors at training of trainers (ToT) and subsequently, data collectors in the states. It will also involve data collection, analysis and report writing.
Methodology
- The aim of the EoR evaluation is to assess AZM coverage and adherence of community drug distributors (CDDs) to treatment protocol immediately and not more than 5 days after each round of treatment.
- The findings will be analyzed and any ward (lot) scoring less than 80% will be targeted for corrective measures around poor performance, for improvement in subsequent rounds.
Specific Activities for the personnel:
- Participante in training on data collection and survey methods conducted by National Consultants.
- Conduct interviews in selected households using Kobocollect/SurveyCTO.
- Upload data on the Kobocollect/SurveyCTO platform to server.
- Address supervisor feedback promptly to correct errors or inconsistencies in data capture.
Deliverables for data collectors
Submit:
- Complete, verified household interview datasets uploaded to the centralized server within stipulated timelines.
Profile Requirements
- A minimum of degree (BSc/HND) in Social Sciences and Health related discipline.
- Minimum of 2 years experience in conducting public health research, particularly data collection.
- Experience in the use of modern technology in research – use of phone for data collection.
- Previous experience doing LQAS survey is an added advantage.
- Ability to speak local language (e.g. Hausa, Kanuri, etc.).
- Familiarity with and respect for the tradition and culture of the locality.
- Familiarity with terrain of the locality.
- Data Collector must be willing to work in remote areas within the state.
- Data Collector must be a resident of the state.
- Must be a female/mixed in selected states.
- Ability to give attention to details.
- Must not be a staff of Government at any level
- Must not be part of MDA-AZM personnel in whatever capacity (national, state, LGA, HFW, CHW, TA).
- Must not be blacklisted during the previous activities.
Application Closing Date
Thursday 31st, July 2025 5:00 pm.