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data-intelligence-for-health-lab / CrowdSourcing-for-Digital-Public-Health-Surveillance

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To explore and evaluate the application of crowdsourcing, in general, and AMT, in specific, for developing digital public health surveillance systems, we collected 296,166 crowd-generated labels for 98,722 tweets, labelled by 610 AMT workers, to develop machine learning (ML) models for detecting behaviours related to physical activity, sedentary…

machine-learning crowdsourcing amazon-mechanical-turk public-health-intelligence
  • Updated Feb 14, 2022
  • Jupyter Notebook

malambomutila / DHIS2-Pipeline

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This project provides an automated data pipeline for extracting, transforming, and analysing health data from a DHIS2 instance. It includes querying various health indicators at the facility level, enriching data with organisational details (districts and provinces), exporting results to structured CSV and loading to PostgreSQL.

python data-science public-health dhis2-api public-health-intelligence public-health-surveillance
  • Updated Jan 29, 2025
  • Jupyter Notebook

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