sources

This table contains all the sources for our datasets. The description column contains JSON encoded as text that contains useful additional fields like a longer descriptive text "additionalInfo".

Data license: CC-BY

1 row where datasetId = 5098 sorted by id descending

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id ▲ name description createdAt updatedAt datasetId additionalInfo link dataPublishedBy
17828 London School of Hygiene & Tropical Medicine, COVID-19 Estimates (2020) 
{
    "link": "https://cmmid.github.io/topics/covid19/global_cfr_estimates.html",
    "retrievedDate": "27 August 2020",
    "additionalInfo": "Data from the London School of Hygiene & Tropical Medicine (LSHTM) estimating the ascertainment rate of symptomatic COVID-19 infections for currently 161 countries and territories. Estimates and regions covered are as of 25 August 2020. More details can be found at https://cmmid.github.io/topics/covid19/global_cfr_estimates.html.\n\nIn accordance with the LSHTM researchers' methodology, we calculate the true number of infections by using estimates of the ascertainment rate and of the percentage of asymptomatic infections to adjust the confirmed cases data as reported by the European Centre for Disease Prevention and Control (ECDC).",
    "dataPublishedBy": "The Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine"
}
 2020-06-28 21:37:26 2020-06-28 21:37:26 COVID-19 Model Estimates – LSHTM (2020) 5098 Data from the London School of Hygiene & Tropical Medicine (LSHTM) estimating the ascertainment rate of symptomatic COVID-19 infections for currently 161 countries and territories. Estimates and regions covered are as of 25 August 2020. More details can be found at https://cmmid.github.io/topics/covid19/global_cfr_estimates.html. In accordance with the LSHTM researchers' methodology, we calculate the true number of infections by using estimates of the ascertainment rate and of the percentage of asymptomatic infections to adjust the confirmed cases data as reported by the European Centre for Disease Prevention and Control (ECDC). https://cmmid.github.io/topics/covid19/global_cfr_estimates.html The Centre for Mathematical Modelling of Infectious Diseases, London School of Hygiene & Tropical Medicine

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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");