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Public Health

Disease surveillance, vaccination data, epidemiology, health system capacity, mortality statistics

3,410 datasets

Public Health

Cook Islands Health Indicators from WHO Global Health Observatory

WHO Global Health Observatory data for Cook Islands covers numerous public health categories. The dataset likely contains indicators for air pollution, antimicrobial resistance, child mortality, dementia, and noncommunicable diseases. It was last updated on 2026-05-08.

TabularCSVHealth IndicatorsCook IslandsHealthcareGlobal HealthPublic Health+1

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Public Health

Colombia Health Indicators from WHO Global Health Observatory

WHO's Global Health Observatory provides health indicator data for Colombia across categories including air pollution, antimicrobial resistance, child mortality, and noncommunicable diseases. The dataset was last updated on 2026-05-08. It is sourced from the World Health Organization's official data portal.

TabularCSVHealth IndicatorsColombiaWho DataHealthcarePublic Health+1

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Public Health

Comoros Health Indicators from WHO Global Health Observatory

World Health Organization data for Comoros covers multiple public health categories including air pollution, child mortality, HIV, and noncommunicable diseases. The dataset was last updated on 2026-05-08 and is sourced from the WHO Global Health Observatory portal. It likely contains time-series indicators for monitoring health outcomes and progress towards targets like universal health coverage.

TabularCSVHealth IndicatorsWho DataHealthcareComorosPublic Health+1

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Public Health

GLIDE Disaster Events: Unique Identifiers for Guam

GLIDE disaster event records for Guam provide unique identifiers for disasters to enable interoperability across information sources. The dataset is maintained by the GLIDE Initiative and was last updated on July 6, 2026. It includes data from multiple institutions such as UN-OCHA, UNDRR, and IFRC.

TabularGeospatialCSVInternational CoordinationDisaster IdentificationDisaster Management+1

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Public Health

Benchmark Data for Evaluating Space-Time Disease Outbreak Detection Methods

Martin Kulldorff of Harvard University created simulated benchmark datasets for evaluating statistical power in disease outbreak detection. The data is based on the geography and population of New York City and includes scenarios with and without simulated outbreaks of varying size and location. These datasets were used to compare the performance of prospective purely temporal and space-time scan statistics.

TabularTime SeriesDisease Outbreak DetectionStatistical PowerBenchmark DataPublic Health SurveillanceBenchmarkHealthcareSimulated DataSynthetic+1

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Public Health

Public Health Strategies for Preventing and Controlling Overweight and Obesity in School a

A systematic review by the Task Force on Community Preventive Services evaluates evidence for nutrition, physical activity, and behavioral interventions to control overweight and obesity. The report provides recommendations based on effectiveness, defined as achieving a mean weight loss of ≥4 pounds measured ≥6 months post-intervention. It was authored by David L. Katz of Yale University.

TextSystematic ReviewObesity PreventionHealthcareBehavioral InterventionsFinanceIntervention EvaluationPublic Health+1

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Public Health

Viral Gastroenteritis Outbreak Data on Pediatric Health and Surveillance

Rotavirus infects virtually every child in the United States by age 4 and causes potentially lethal dehydration in 0.75% of children under 2. This dataset, described in a paper by Charles W. LeBaron of Emory University, concerns viral agents of gastroenteritis, their public health impact, and outbreak management protocols. It likely contains information related to surveillance, sample collection, and control measures for pathogens like rotavirus, enteric adenoviruses, calicivirus, astrovirus, and the Norwalk family.

TabularViral GastroenteritisOutbreak ManagementPublic Health SurveillanceInfectious DiseaseHealthcareLarge ScalePediatric HealthPublic Health+1

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Public Health

PHOF: Public Health Outcomes Indicators for England and Local Authorities

Public Health England's Public Health Outcomes Framework is a compendium of public health outcomes indicators presented at England and upper-tier local authority levels. Indicators are split over four domains: improving the wider determinants of health, health improvement, health protection, and healthcare, public health and preventing premature mortality. The dataset is designated as Official Statistics and was last updated on 2026-07-08.

Tabular🇬🇧 United KingdomOfficial StatisticsHealth IndicatorsHealthcareHealth OutcomesPublic Health+1

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Public Health

GLIDE Disaster Events: Global Disaster Identifier Registry

GLIDE Disaster Events provides GLobal unique IDEntifiers for Disasters. The dataset is maintained by the GLIDE Initiative and is used by organizations including UN-OCHA, UNDRR, IFRC, and the European Commission. It was last updated on 2026-06-23.

TabularGeospatialCSVGlobal EventsUnique IdentifiersDisaster Management+1

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Public Health

South Africa - GLIDE Disaster Events: Global Unique Disaster Identifiers

South Africa disaster events registered with GLIDE (GLobal unique IDEntifier for Disasters) numbers. The GLIDE system provides a common identifier to make disaster information interoperable across multiple sources. The dataset is provided by the GLIDE Initiative and was last updated on 2026-06-23.

TabularGeospatialCSVDisaster EventsGlobal IdentifiersSouth AfricaPublic Safety+1

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Public Health

Republic of Korea - GLIDE Disaster Events: Geospatial Disaster Identifiers

A collection of disaster events in the Republic of Korea registered with GLIDE (GLobal unique IDEntifiers for Disasters) codes. The data is provided 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-OCHA, UNDRR, and the Centre for Research on the Epidemiology of Disasters (CRED).

TabularGeospatial🇰🇷 South KoreaCSVDisaster EventsDisaster Management+1

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Public Health

Japan GLIDE Disaster Events: Geospatial Records with Unique Identifiers

GLIDE numbers are GLobal unique IDEntifiers for Disasters, proposed by the Asian Disaster Reduction Center to unify disaster information across sources. This dataset contains disaster event records for Japan, allowing information to be interoperable across multiple disaster information sources, both structured and textual. The data is used actively by institutions including UN-OCHA, UNDRR, IFRC, and the European Commission.

TabularGeospatial🇯🇵 JapanCSVDisaster EventsUnique IdentifiersDisaster Response+1

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Public Health

India - GLIDE Disaster Events: Geospatial Disaster Identifiers

A collection of disaster event records for India using the GLIDE (GLobal unique IDEntifier for Disasters) system. The data is provided by the GLIDE Initiative and was last updated on June 23, 2026. It aims to make disaster information interoperable across sources like UN-OCHA, UNDRR, and the Centre for Research on the Epidemiology of Disasters (CRED).

TabularGeospatial🇮🇳 IndiaCSVPublic SafetyDisaster Management+1

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Public Health

France - GLIDE Disaster Events: Geospatial Disaster Records

GLIDE numbers are GLobal unique IDEntifiers for Disasters, proposed by the Asian Disaster Reduction Center to unify disaster information across sources. The dataset likely contains records of disaster events in France, registered with interoperable identifiers used by organizations like UN-OCHA, UNDRR, and IFRC. It was last updated on 2026-06-23 and is provided by the GLIDE Initiative.

TabularGeospatial🇫🇷 FranceCSVDisaster EventsCrisis ManagementPublic Safety+1

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Public Health

GLIDE Disaster Events: Georeferenced Disaster Records for Germany

GLIDE Initiative's dataset provides GLobal unique IDEntifiers for Disasters (GLIDEnumbers) for events in Germany. The GLIDEnumber system, proposed by the Asian Disaster Reduction Center (ADRC), enables interoperability across information sources and is used by UN-OCHA, UNDRR, IFRC, and others. The dataset was last updated on 2026-06-23.

TabularGeospatial🇩🇪 GermanyCSVDisaster EventsUnique IdentifiersDisaster Management+1

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Public Health

China - GLIDE Disaster Events: Georeferenced Disaster Identifiers

China-specific disaster events registered with GLIDE (GLobal unique IDEntifiers for Disasters) codes. The data is provided by the GLIDE Initiative and last updated on 2026-06-23. It aims to make disaster information interoperable across multiple sources, including UN-OCHA, UNDRR, and the Centre for Research on the Epidemiology of Disasters (CRED).

TabularGeospatial🇨🇳 ChinaCSVDisaster EventsDisaster Management+1

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Public Health

GLIDE Disaster Events: Canadian Disaster Records with Unique Identifiers

GLIDE Disaster Events provides a collection of disaster records for Canada, each assigned a GLIDEnumber for global interoperability. The data is used by organizations including UN-OCHA, UNDRR, IFRC, and the European Commission. It was last updated on 2026-06-23.

TabularGeospatial🇨🇦 CanadaCSVDisaster EventsUnique IdentifiersDisaster Response+1

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Public Health

Brazil - GLIDE Disaster Events: Unique Identifiers for Disaster Records

GLIDE Disaster Events provides GLobal unique IDEntifiers (GLIDEnumbers) for disasters in Brazil. The dataset is published by the GLIDE Initiative and was last updated on 2026-06-23. It aims to make disaster information interoperable across sources like UN-OCHA, UNDRR, and IFRC.

TabularGeospatial🇧🇷 BrazilCSVDisaster EventsPublic Safety+1

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Public Health

Australia - GLIDE Disaster Events: Geospatial Disaster Identifiers

Australia's disaster events registered with GLIDE (GLobal unique IDEntifiers for Disasters) numbers. Each disaster receives a unique identifier to enable interoperability across multiple information sources. The data is provided by the GLIDE Initiative and was last updated on 2026-06-23.

TabularGeospatial🇦🇺 AustraliaCSVEmergency ResponseDisaster Management+1

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Public Health

Evacuation Guidelines COVID-19 Supplement for NSW Incidents

A NSW Government supplement providing guidelines for evacuation management during the coronavirus pandemic. It is intended for incidents where people must leave their home, excluding site-specific planning for commercial or healthcare facilities. The document is scheduled for review every two months or as required to incorporate changes.

TextGovernment GuidelinesEmergency ManagementHealthcareCovid 19Public Health+1

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