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Existing web interface lacked source code ownership, couldn't manage complex family cluster data relationships, required extensive manual Excel data entry, and needed urgent modernization to support dynamic questionnaire logic and automated data processing for evolving pandemic research requirements.
Collaborative epidemiological research project between academic institutions and public health authorities, focused on tracking viral infections and community wellbeing.
Enables efficient longitudinal tracking of viral spread patterns and vaccination impacts through automated data collection, reduces manual processing time by 70%, supports evidence-based public health policy decisions, and provides flexible infrastructure for future infectious disease monitoring initiatives.