sources
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2 rows where datasetId = 6009 sorted by id descending
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id ▲ | name | description | createdAt | updatedAt | datasetId | additionalInfo | link | dataPublishedBy |
---|---|---|---|---|---|---|---|---|
29568 | IHME, Global Burden of Disease (2020) | { "link": "https://vizhub.healthdata.org/gbd-results/", "retrievedDate": "2023-05-15", "additionalInfo": "\nThe Global Burden of Disease (GBD) provides a comprehensive picture of mortality and disability across countries, time, age, and sex. It quantifies health loss from hundreds of diseases, injuries, and risk factors, so that health systems can be improved and disparities eliminated.\n\nGBD research incorporates both the prevalence of a given disease or risk factor and the relative harm it causes. With these tools, decision-makers can compare different health issues and their effects.\n\nThis dataset only contains Prevalence rate metrics for mental health-related causes.\n", "dataPublishedBy": "Global Burden of Disease Collaborative Network. Global Burden of Disease Study 2019 (GBD 2019) Results. Seattle, United States: Institute for Health Metrics and Evaluation (IHME), 2020. Available from https://vizhub.healthdata.org/gbd-results/" } |
2023-12-14 12:03:47 | 2024-05-05 18:58:27 | Global Burden of Disease: Mental disorders, prevalence rates (IHME, 2020) 6009 | The Global Burden of Disease (GBD) provides a comprehensive picture of mortality and disability across countries, time, age, and sex. It quantifies health loss from hundreds of diseases, injuries, and risk factors, so that health systems can be improved and disparities eliminated. GBD research incorporates both the prevalence of a given disease or risk factor and the relative harm it causes. With these tools, decision-makers can compare different health issues and their effects. This dataset only contains Prevalence rate metrics for mental health-related causes. | https://vizhub.healthdata.org/gbd-results/ | Global Burden of Disease Collaborative Network. Global Burden of Disease Study 2019 (GBD 2019) Results. Seattle, United States: Institute for Health Metrics and Evaluation (IHME), 2020. Available from https://vizhub.healthdata.org/gbd-results/ |
27606 | IHME, Global Burden of Disease (2020) | { "link": "https://vizhub.healthdata.org/gbd-results/", "retrievedDate": "2023-05-15", "additionalInfo": "The Global Burden of Disease (GBD) provides a comprehensive picture of mortality and disability across countries, time, age, and sex. It quantifies health loss from hundreds of diseases, injuries, and risk factors, so that health systems can be improved and disparities eliminated.\n\nGBD research incorporates both the prevalence of a given disease or risk factor and the relative harm it causes. With these tools, decision-makers can compare different health issues and their effects.\n\nThis dataset only contains Prevalence rate metrics for mental health-related causes.\n", "dataPublishedBy": "Global Burden of Disease Collaborative Network. Global Burden of Disease Study 2019 (GBD 2019) Results. Seattle, United States: Institute for Health Metrics and Evaluation (IHME), 2020. Available from https://vizhub.healthdata.org/gbd-results/" } |
2023-05-15 13:53:32 | 2024-05-05 18:57:42 | Global Burden of Disease: Mental disorders, prevalence rates (IHME, 2020) 6009 | The Global Burden of Disease (GBD) provides a comprehensive picture of mortality and disability across countries, time, age, and sex. It quantifies health loss from hundreds of diseases, injuries, and risk factors, so that health systems can be improved and disparities eliminated. GBD research incorporates both the prevalence of a given disease or risk factor and the relative harm it causes. With these tools, decision-makers can compare different health issues and their effects. This dataset only contains Prevalence rate metrics for mental health-related causes. | https://vizhub.healthdata.org/gbd-results/ | Global Burden of Disease Collaborative Network. Global Burden of Disease Study 2019 (GBD 2019) Results. Seattle, United States: Institute for Health Metrics and Evaluation (IHME), 2020. Available from https://vizhub.healthdata.org/gbd-results/ |
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CREATE TABLE "sources" ( "id" INTEGER PRIMARY KEY AUTOINCREMENT, "name" VARCHAR(512) NULL , "description" TEXT NOT NULL , "createdAt" DATETIME NOT NULL DEFAULT CURRENT_TIMESTAMP , "updatedAt" DATETIME NULL , "datasetId" INTEGER NULL, additionalInfo TEXT GENERATED ALWAYS as (JSON_EXTRACT(description, '$.additionalInfo')) VIRTUAL, link TEXT GENERATED ALWAYS as (JSON_EXTRACT(description, '$.link')) VIRTUAL, dataPublishedBy TEXT GENERATED ALWAYS as (JSON_EXTRACT(description, '$.dataPublishedBy')) VIRTUAL, FOREIGN KEY("datasetId") REFERENCES "datasets" ("id") ON UPDATE RESTRICT ON DELETE RESTRICT ); CREATE INDEX "sources_datasetId" ON "sources" ("datasetId");