sources: 17828

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

This data as json

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 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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