Data Collectors
Kamal Yusuf
Research Assistant/Data Collector
About
Kamal Yusuf is a Public Health and Research Professional based in Northern Nigeria with extensive experience in health systems research, data quality assessment, monitoring and evaluation, and field-based implementation support for donor-funded health programs. He has worked across primary and secondary healthcare settings, contributing to baseline studies, third-party monitoring assignments, data verification exercises, facility readiness assessments, and program performance reviews. His technical expertise includes routine health data validation, abstraction and systematic review of facility registers (ANC, Labour & Delivery, Family Planning, Postnatal Care, immunization, malaria, and HIV services), supply chain and commodity management assessments, workforce capacity evaluation, and infrastructure readiness analysis. Kamal has hands-on experience reconciling discrepancies between source documents and reported data, conducting physical stock counts, validating service statistics, and documenting findings in line with established data quality protocols. He is proficient in digital data collection and management tools including KoboCollect, XLSForm, DHIS2 (exposure), and advanced Microsoft Excel for data cleaning, consistency checks, and structured reporting. In addition to quantitative research, Kamal possesses strong qualitative research competencies. He has conducted and supported Key Informant Interviews (KII) and Focus Group Discussions (FGD) with healthcare providers, community stakeholders, and program managers, ensuring methodological rigor and ethical compliance throughout the process. He is experienced in verbatim transcription, Hausa-to-English translation, qualitative data organization, and preparation of field notes for thematic analysis and reporting. His professional focus centers on strengthening routine health information systems, improving data integrity, enhancing accountability in service delivery, and generating practical, evidence-based recommendations that inform policy decisions and optimize program