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1.
Journal of Liver Transplantation ; : 100051, 2021.
Article in English | ScienceDirect | ID: covidwho-1474864

ABSTRACT

The COVID-19 pandemic strongly affected organ procurement and transplantation in France, despite the intense efforts of all participants in this domain. In 2020, the identification and procurement of deceased donors fell by 12% and 21% respectively, compared with the mean of the preceding 2 years. Similarly, the number of new registrations on the national waiting list declined by 12% and the number of transplants by 24%. The 3-month cumulative incidence of death or drop out for worsening condition of patients awaiting a liver transplant was significantly greater in 2020 compared to the previous 2 years. Continuous monitoring at the national level of early post-transplant outcomes showed no deterioration for any organ in 2020. At the end of 2020, less than 1% of transplant candidates and less than 1% of graft recipients — of any organ — had died of COVID-19.

2.
Nat Commun ; 12(1): 1655, 2021 03 12.
Article in English | MEDLINE | ID: covidwho-1132070

ABSTRACT

Digital contact tracing is a relevant tool to control infectious disease outbreaks, including the COVID-19 epidemic. Early work evaluating digital contact tracing omitted important features and heterogeneities of real-world contact patterns influencing contagion dynamics. We fill this gap with a modeling framework informed by empirical high-resolution contact data to analyze the impact of digital contact tracing in the COVID-19 pandemic. We investigate how well contact tracing apps, coupled with the quarantine of identified contacts, can mitigate the spread in real environments. We find that restrictive policies are more effective in containing the epidemic but come at the cost of unnecessary large-scale quarantines. Policy evaluation through their efficiency and cost results in optimized solutions which only consider contacts longer than 15-20 minutes and closer than 2-3 meters to be at risk. Our results show that isolation and tracing can help control re-emerging outbreaks when some conditions are met: (i) a reduction of the reproductive number through masks and physical distance; (ii) a low-delay isolation of infected individuals; (iii) a high compliance. Finally, we observe the inefficacy of a less privacy-preserving tracing involving second order contacts. Our results may inform digital contact tracing efforts currently being implemented across several countries worldwide.


Subject(s)
COVID-19/prevention & control , Contact Tracing/methods , Pandemics , SARS-CoV-2 , Basic Reproduction Number/prevention & control , Basic Reproduction Number/statistics & numerical data , COVID-19/epidemiology , COVID-19/transmission , Computer Simulation , Contact Tracing/statistics & numerical data , Humans , Models, Statistical , Pandemics/prevention & control , Pandemics/statistics & numerical data , Privacy , Quarantine/methods , Quarantine/statistics & numerical data , Risk Factors
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