research data . Dataset . 2020 . Embargo end date: 16 Apr 2020

Data to support COVID-19 - exploring the implications of long-term condition type and extent of multimorbidity on years of life lost: a modelling study

Hanlon, P; McAllister, D;
Embargo English
  • Published: 01 Jan 2020
  • Publisher: Zenodo
Abstract
<p>Summary/Aggregate data</p> <p>Data extracted from&nbsp;Istituto Superiore di Sanit&agrave;. Characteristics of COVID-19 patients dying in Italy Report based on available data on March 26th, 2020 2020 [Available from: <a href="https://www.epicentro.iss.it/coronavirus/bollettino/Report-COVID-2019_26_marzo_eng.pdf">https://www.epicentro.iss.it/coronavirus/bollettino/Report-COVID-2019_26_marzo_eng.pdf</a>. on characteristics of patients who died from COVID-19.</p> <p>Coefficients and variance/covariance matrix from survival models run on data from the SAIL databank (https://saildatabank.com/). Individual level data on which these models were run can be obtained b...
Subjects
free text keywords: epidemiology, years of potential life lost, COVID-19, https://meshb.nlm.nih.gov/record/ui?ui=D004813, https://meshb.nlm.nih.gov/record/ui?ui=D008017, https://meshb.nlm.nih.gov/record/ui?ui=C000657245
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