#
Countries in database
10
Official surveillance feeds currently exported to the public site.
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 June 20, 2026, covering 1997-01-01 to 2026-06-20.
Live Database Snapshot
#
Diseases tracked
199
Standard diseases normalised into the build-time snapshot.
#
Cumulative cases
361,396,483
Summed from the latest PostgreSQL-backed export.
DB
Latest reporting date
2026-06-20
Most recent reporting date included in this site build.
How the Pipeline Works
1
Data Collection
Python collectors ingest official web, API, and BI feeds from configured public-health sources.
2
Parsing & Normalisation
Raw source payloads are cleaned and normalised into a shared PostgreSQL schema covering disease, country, cases, deaths, and period.
3
AI Analysis
Database-backed records drive bilingual AI summaries and 1 published report entry in the current release.
4
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
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 10 countries and 199 standardised diseases from the database.
Historical trend depth
Cross-country time series currently span 1997-01-01 to 2026-06-20 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.
Author
👨🔬
Kangguo Li
Epidemiologist & developer. Building tools that make infectious disease data more accessible and actionable.
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.
Tianmu Chen
School of Public Health, Xiamen University
Academic Advice Financial Support
Provided both thoughtful advice and financial support, enabling the project to continue its development and maintenance.
Benjamin Rader
Harvard Medical School; Boston Children's Hospital
Academic Advice
Provided valuable comments on the site's structure, content organisation, and overall presentation.
Data Sources
Australia · Australia NINDSS
AU Monthly MICROSOFT_BIAustralian national notifiable diseases surveillance dashboard.
Brazil · Brazil DATASUS SINAN
BR Monthly FTP_DBCBrazil Ministry of Health DATASUS/SINAN public DBC microdata aggregated to national monthly notification counts.
Switzerland · Switzerland FOPH IDD
CH Weekly REST_APISwitzerland FOPH/BAG IDD mandatory reporting API normalized to national case rows. Monthly series may use the dashboard CHFL aggregate where CH-only monthly series are not exposed.
China · China CDC Weekly
CN Monthly WEBMonthly notifiable infectious disease reports published by China CDC.
China · National Disease Control and Prevention Administration
CN Monthly WEBOfficial China public health bulletin and query portal.
China · PubMed
CN Monthly WEBBiomedical literature discovery feed used as supplementary context.
Hong Kong, China · Hong Kong, China CHP Notifiable Diseases
HK Monthly OPEN_DATA_CSVHong Kong, China CHP annual notifiable infectious disease CSVs normalized to national monthly totals
Japan · JP NIID Weekly
JP Weekly WEBJapan weekly infectious disease surveillance via NIID/JIHS.
South Korea · Korea KDCA EID
KR Monthly OPEN_API_OR_PORTAL_DOWNLOADKorea KDCA notifiable infectious disease OpenAPI or portal/KOSIS downloads aggregated to national monthly notification counts.
New Zealand · phf_monthly
NZ Monthly WEBPHF Science (formerly ESR) monthly notifiable disease surveillance data via internal globalID2 crawler
Taiwan, China · Taiwan, China CDC NIDSS
TW Monthly OPEN_DATA_CSVTaiwan, China monthly notifiable infectious disease open-data CSV feed.
United States · US CDC NNDSS
US Weekly APICDC National Notifiable Diseases Surveillance System provisional data.
Start Exploring
Dive into disease surveillance reports, interactive charts, and AI-powered trend analysis.