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bibliography.bib
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% The entry below contains non-ASCII chars that could not be converted
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@ARTICLE{Verity2020-qx,
title = "Estimates of the severity of coronavirus disease 2019: a
model-based analysis",
author = "Verity, Robert and Okell, Lucy C and Dorigatti, Ilaria and
Winskill, Peter and Whittaker, Charles and Imai, Natsuko and
Cuomo-Dannenburg, Gina and Thompson, Hayley and Walker, Patrick G
T and Fu, Han and Dighe, Amy and Griffin, Jamie T and Baguelin,
Marc and Bhatia, Sangeeta and Boonyasiri, Adhiratha and Cori,
Anne and Cucunub{\'a}, Zulma and FitzJohn, Rich and Gaythorpe,
Katy and Green, Will and Hamlet, Arran and Hinsley, Wes and
Laydon, Daniel and Nedjati-Gilani, Gemma and Riley, Steven and
van Elsland, Sabine and Volz, Erik and Wang, Haowei and Wang,
Yuanrong and Xi, Xiaoyue and Donnelly, Christl A and Ghani, Azra
C and Ferguson, Neil M",
abstract = "BACKGROUND: In the face of rapidly changing data, a range of case
fatality ratio estimates for coronavirus disease 2019 (COVID-19)
have been produced that differ substantially in magnitude. We
aimed to provide robust estimates, accounting for censoring and
ascertainment biases. METHODS: We collected individual-case data
for patients who died from COVID-19 in Hubei, mainland China
(reported by national and provincial health commissions to Feb 8,
2020), and for cases outside of mainland China (from government
or ministry of health websites and media reports for 37
countries, as well as Hong Kong and Macau, until Feb 25, 2020).
These individual-case data were used to estimate the time between
onset of symptoms and outcome (death or discharge from hospital).
We next obtained age-stratified estimates of the case fatality
ratio by relating the aggregate distribution of cases to the
observed cumulative deaths in China, assuming a constant attack
rate by age and adjusting for demography and age-based and
location-based under-ascertainment. We also estimated the case
fatality ratio from individual line-list data on 1334 cases
identified outside of mainland China. Using data on the
prevalence of PCR-confirmed cases in international residents
repatriated from China, we obtained age-stratified estimates of
the infection fatality ratio. Furthermore, data on age-stratified
severity in a subset of 3665 cases from China were used to
estimate the proportion of infected individuals who are likely to
require hospitalisation. FINDINGS: Using data on 24 deaths that
occurred in mainland China and 165 recoveries outside of China,
we estimated the mean duration from onset of symptoms to death to
be 17·8 days (95\% credible interval [CrI] 16·9-19·2) and to
hospital discharge to be 24·7 days (22·9-28·1). In all laboratory
confirmed and clinically diagnosed cases from mainland China
(n=70 117), we estimated a crude case fatality ratio (adjusted
for censoring) of 3·67\% (95\% CrI 3·56-3·80). However, after
further adjusting for demography and under-ascertainment, we
obtained a best estimate of the case fatality ratio in China of
1·38\% (1·23-1·53), with substantially higher ratios in older age
groups (0·32\% [0·27-0·38] in those aged <60 years vs 6·4\%
[5·7-7·2] in those aged $\geq$60 years), up to 13·4\% (11·2-15·9)
in those aged 80 years or older. Estimates of case fatality ratio
from international cases stratified by age were consistent with
those from China (parametric estimate 1·4\% [0·4-3·5] in those
aged <60 years [n=360] and 4·5\% [1·8-11·1] in those aged
$\geq$60 years [n=151]). Our estimated overall infection fatality
ratio for China was 0·66\% (0·39-1·33), with an increasing
profile with age. Similarly, estimates of the proportion of
infected individuals likely to be hospitalised increased with age
up to a maximum of 18·4\% (11·0-7·6) in those aged 80 years or
older. INTERPRETATION: These early estimates give an indication
of the fatality ratio across the spectrum of COVID-19 disease and
show a strong age gradient in risk of death. FUNDING: UK Medical
Research Council.",
journal = "Lancet Infect. Dis.",
month = mar,
year = 2020,
language = "en"
}
@ARTICLE{Hamouda2020-iy,
title = "Sch{\"a}tzung der aktuellen Entwicklung der
{SARS-CoV-2-Epidemie} in {Deutschland--Nowcasting}",
author = "Hamouda, Osamah and {Others}",
publisher = "Robert Koch-Institut",
year = 2020
}
@ARTICLE{Flaxman2020-qy,
title = "Report 13: Estimating the number of infections and the impact of
non-pharmaceutical interventions on {COVID-19} in 11 European
countries",
author = "Flaxman, Seth and Mishra, Swapnil and Gandy, Axel and Unwin, H and
Coupland, H and Mellan, T and Zhu, H and Berah, T and Eaton, J and
Perez Guzman, P and {Others}",
year = 2020
}
@misc{BlogLink,
title = {COVID-19: Estimates of true infections, case fatality and growth rates in Germany},
author = "Schmid, Clemens and Schiffels, Stephan",
howpublished = {\url{https://medium.com/stephan-schiffels/covid-19-estimates-of-true-infections-case-fatality-and-growth-rates-in-germany-383285f99966}},
note = {Accessed: 2020-04-18}
}