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Disease surveillance, vaccination data, epidemiology, health system capacity, mortality statistics
3,416 datasets
CDC Epidemic Trends and Rt is an archive of estimated trend categories, probabilities of epidemic growth, and effective reproduction numbers (Rt) for COVID-19 and influenza, updated weekly. Estimates are generated by the CDC's Center for Forecasting and Analytics using emergency department visit data from the National Syndromic Surveillance Program (NSSP), with modeling methods updated on June 1, 2026. The dataset was last updated on 2026-06-04.
UK public health surveillance data provides cumulative weekly reports of notifiable infectious diseases. The data is compiled from figures recorded by the Duty Room and Surveillance teams. It serves as a key resource for monitoring disease trends and informing public health responses.
GLIDE numbers are GLobal unique IDEntifiers for Disasters, providing a common code for interoperability across multiple disaster information sources. The dataset is actively used by institutions including UN-OCHA, UNDRR, UNDP, WMO, IFRC, FAO, the European Commission, and CRED. It was last updated on 2026-06-23.
GLIDE Initiative maintains GLIDE numbers, which are GLobal unique IDEntifiers for Disasters. The dataset contains registered disaster records for Zambia, allowing information to be interoperable across multiple disaster information sources. The data is available in GEOJSON and CSV formats and was last updated on 2026-06-23.
GLIDE numbers are GLobal unique IDEntifiers for Disasters registered in a record that contains a GLIDEnumber for interoperability across multiple disaster information sources. The dataset is produced by the GLIDE Initiative and was last updated on 2026-06-23. It includes disaster events specifically for Yemen.
GLIDE numbers are GLobal unique IDEntifiers for Disasters, proposed by the Asian Disaster Reduction Center (ADRC) to address confusion in disaster identification across borders. The dataset contains records for Samoa, each with a unique GLIDEnumber to make disaster information interoperable across sources like UN-OCHA, UNDRR, and IFRC. It was last updated on 2026-06-23 and is licensed under CC-BY-3.0-IGO.
Vanuatu disaster events registered with GLIDE (GLobal unique IDEntifiers for Disasters) codes. The dataset contains records that uniquely identify each disaster to enable interoperability across multiple information sources. It is provided by the GLIDE Initiative and was last updated on 2026-06-23.
GLIDE numbers are GLobal unique IDEntifiers for Disasters, allowing information to be interoperable across multiple disaster information sources. The Asian Disaster Reduction Center (ADRC) proposed this globally common Unique ID code to address the challenge of accessing scattered and confusing disaster information. The dataset is actively used by institutions including UN-OCHA, UNDRR, IFRC, and the European Commission.
GLIDE Initiative's dataset provides GLobal unique IDEntifiers for Disasters in Venezuela. The GLIDEnumber system allows disaster information to be interoperable across multiple sources, including UN-OCHA, UNDRR, and the European Commission. The data was last updated on 2026-06-23 and is available in GEOJSON and CSV formats.
Saint Vincent and the Grenadines disaster events are cataloged using GLIDE (GLobal unique IDEntifiers for Disasters) numbers. The dataset is produced by the GLIDE Initiative and is used by organizations including UN-OCHA, UNDRR, and IFRC. It was last updated on 2026-06-23.
GLIDE numbers provide a global unique identifier for disasters, enabling interoperability across multiple information sources. The Asian Disaster Reduction Center (ADRC) proposed this common ID to address the challenge of accessing scattered and confusing disaster information. This dataset contains disaster event records for Uzbekistan, last updated on 2026-06-23.
GLIDE disaster event records for the United States provide a standardized global identifier (GLIDEnumber) for each disaster. The data is published by the GLIDE Initiative and was last updated on 2026-06-23. It is used by organizations including UN-OCHA, UNDRR, IFRC, and the European Commission for cross-source disaster information interoperability.
GLIDE numbers are global unique identifiers for disasters, enabling interoperability across multiple information sources. The dataset contains disaster event records for Uruguay, registered by the GLIDE Initiative and used by organizations including UN-OCHA, UNDRR, and IFRC. It was last updated on 2026-06-23 and is available in GEOJSON and CSV formats.
GLIDE Initiative provides a dataset of disaster events in Tanzania using GLIDEnumbers, which are globally unique identifiers for disasters. The data is used by institutions including UN-OCHA, UNDRR, IFRC, and the European Commission to enable interoperability across disaster information sources. The dataset is available in GEOJSON and CSV formats and was last updated on 2026-06-23.
Taiwan (Province of China) disaster events registered with GLIDE (GLobal unique IDEntifiers for Disasters) codes. The dataset is produced by the GLIDE Initiative and was last updated on 2026-06-23. GLIDE numbers allow disaster information to be interoperable across multiple sources, including UN agencies and research institutions.
GLIDE numbers are GLobal unique IDEntifiers for Disasters, proposed by the Asian Disaster Reduction Center (ADRC). Each disaster is registered in a record containing a GLIDEnumber that uniquely identifies it, enabling interoperability across sources like UN-OCHA, UNDRR, and IFRC. The dataset covers Türkiye and was last updated on 2026-06-23.
GLIDE numbers are GLobal unique IDEntifiers for Disasters, designed to make disaster information interoperable across multiple sources. The Asian Disaster Reduction Center (ADRC) proposed this globally common Unique ID code to address the time-consuming task of accessing scattered disaster data. This dataset, last updated 2026-06-23, contains records for Tunisia using the GLIDE standard adopted by UN-OCHA, UNDRR, and other major institutions.
GLIDE disaster event records for Tonga provide a globally unique identifier for each disaster to enable interoperability across information sources. The dataset is produced by the GLIDE Initiative and was last updated on 2026-06-23. It includes file formats like GEOJSON and CSV, suggesting geospatial and tabular representations of disaster events.
GLIDE numbers are GLobal unique IDEntifiers for Disasters, enabling interoperability across multiple disaster information sources. The Asian Disaster Reduction Center (ADRC) proposed this globally common Unique ID code to address confusion in identifying events across borders. This dataset contains these identifiers for disaster events in Turkmenistan.
GLIDE numbers are GLobal unique IDEntifiers for Disasters, providing a common ID code for interoperability across multiple disaster information sources. The dataset likely contains records of disaster events in Tajikistan, each registered with a unique GLIDE number. It is provided by the GLIDE Initiative and was last updated on 2026-06-23.