Estimating the infection and case fatality ratio for coronavirus disease (COVID-19) using age-adjusted data from the outbreak on the Diamond Princess cruise ship, February 2020
By T. Russell, J. Hellewell, C. Jarvis, K. Zandvoort, Sam Abbott¹, R. Ratnayake, Cmmid COVID-19, Stefan Flasche¹, Rosalind M Eggo¹, John Edmunds¹ and 20 more. 2020
398 citations recorded by the source corpus.
Adjusting for delay from confirmation to death, we estimated case and infection fatality ratios (CFR, IFR) for coronavirus disease (COVID-19) on the Diamond Princess ship as 2.6% (95% confidence interval (CI): 0.89–6.7) and 1.3% (95% CI: 0.38–3.6), respectively. Comparing deaths on board with expected deaths based on naive CFR estimates from China, we estimated CFR and IFR in China to be 1.2% (95% CI: 0.3–2.7) and 0.6% (95% CI: 0.2–1.3), respectively.
Subfields: Economics and Econometrics, Epidemiology, Modeling and Simulation
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
In Epidemiology
In Modeling and Simulation
Citations in the corpus
- Simpson's Paradox in COVID-19 Case Fatality Rates: A Mediation Analysis of Age-Related Causal Effects (2020, background): “Testing started among the elderly passengers, descending by age” [27].”
- Age-specific SARS-CoV-2 infection fatality ratio and associated risk factors, Italy, February to April 2020 (2020, neutral): “6%) [1,2,4,10,11], based on small non-random samples [9], data pooled from heterogeneous populations [1,2,4,10] or derived through modelling analyses [2].”