English Archives

Feature Spotlight : Deep Dive on Maps Functionality – Epidemiological Surveillance Features

Review the maps app, with a special focus on features supporting epidemiological surveillance.

Implementation Insights – Data Quality Workbench

Learn about the Data Quality Workbench, an external, Python-based tool that allows you to supplement the built-in data quality features within DHIS2.

Data Quality Supervision Tools

Explore how the eRDQA (Routine Data Quality Assessment) and DQR-RSC (Data Quality Review Routine Supervision Checklist) supervision tools are implemented within DHIS2.

Fundamentals of Statistical Modeling

Discover core statistical principles essential for modeling climate-sensitive diseases and managing forecast uncertainty.

Climate Factors, Climate Change, and their Health Impacts

Discover how climate change reshapes disease patterns and explore the links between weather variability and health risks in vulnerable populations.

Introduction to the Chap Modeling Platform

Discover how Chap takes you from climate and health data to tested, ready-to-use disease forecasts for DHIS2.

Working with Codebases

Discover GitHub best practices essential for reproducible climate-health modeling workflows.

Introduction to Spatiotemporal Modeling and the Webinar Series

Discover how climate data powers health forecasting in our DHIS2 webinar series kickoff.