How it works

About GIDS

GIDS (Global Infectious Disease Surveillance) is an automated infectious disease surveillance platform that collects, processes, and visualises data from official public health authorities around the world.

This page is rebuilt from the latest PostgreSQL snapshot. The current data version is May 9, 2026, covering 2000-01-01 to 2026-05-09.

Live Database Snapshot

Countries in database

Official surveillance feeds currently exported to the public site.

Diseases tracked

150

Standard diseases normalised into the build-time snapshot.

Cumulative cases

273,114,203

Summed from the latest PostgreSQL-backed export.

Latest reporting date

2026-05-09

Most recent reporting date included in this site build.

How the Pipeline Works

Data Collection

Python collectors ingest official web, API, and BI feeds from configured public-health sources.

Parsing & Normalisation

Raw source payloads are cleaned and normalised into a shared PostgreSQL schema covering disease, country, cases, deaths, and period.

AI Analysis

Database-backed records drive bilingual AI summaries and 1 published report entry in the current release.

Build-time Snapshot & Publishing

Before each Astro build, the site regenerates JSON snapshots from PostgreSQL so the published pages follow the latest database state.

System Architecture

Official Health Sources 6 configured feeds across 4 countries

Collectors Python ingestion for MICROSOFT_BI / WEB / API source types

Parser + PostgreSQL 150 diseases normalised in the database

AI Report Engine 1 report entry in the current public release

This Website Astro build consumes regenerated JSON snapshots

Key Features

Database-backed builds

Official feeds currently update on monthly / weekly cadences, and every site build regenerates the public snapshot from PostgreSQL.

Multi-country coverage

The current export covers 4 countries and 150 standardised diseases from the database.

Historical trend depth

Cross-country time series currently span 2000-01-01 to 2026-05-09 for comparative trend analysis.

AI-generated reports

The current public release includes 1 AI-generated report entry derived from database-backed surveillance records.

Open data exports

Country and disease datasets are regenerated as JSON and CSV from the latest database state.

Bilingual interface

The public site keeps English and Chinese presentation while reading from the same generated database snapshot.

Free & Open Source

Open Source Project

GIDS is fully open source under the MIT licence. The entire pipeline, from data collection and AI analysis to frontend visualisation, is available for inspection, reuse, and contribution.

xmusphlkg/globalID2 Report an Issue

Author

👨‍🔬

Kangguo Li

Epidemiologist & developer. Building tools that make infectious disease data more accessible and actionable.

kangguo.online @xmusphlkg

Acknowledgements

Acknowledgements and Support

GIDS has benefited from the intellectual guidance, collegial feedback, and practical support of colleagues and mentors. The author gratefully acknowledges the following individuals for their contributions to the development of this project.

This acknowledgement record will be maintained and expanded as the project continues to develop.