Published in Scientific Reports
Climate simulations often need to be adjusted (i.e., corrected) before any climate change impacts studies. However usual bias correction approaches do not differentiate the bias from the different uncertainties of the climate simulations: scenario uncertainty, model uncertainty and internal variability. In particular, in the case of a multi-run ens...
Published in Scientific Reports
Graph theory-based approaches are efficient tools for detecting clustering and group-wise differences in high-dimensional data across a wide range of fields, such as gene expression analysis and neural connectivity. Here, we examine data from a cross-sectional, resting-state magnetoencephalography study of 89 Parkinson’s disease patients, and use m...
Published in Scientific Reports
We are concerned with the issue of detecting changes and their signs from a data stream. For example, when given time series of COVID-19 cases in a region, we may raise early warning signals of an epidemic by detecting signs of changes in the data. We propose a novel methodology to address this issue. The key idea is to employ a new information-the...
Published in Nature Communications
Household air pollution derived from cooking fuels is a major source of health and environmental problems. Here, the authors provide detailed global, regional and country estimates of cooking fuel usage from 1990 to 2030 and project that 31% of people will still be mainly using polluting fuels in 2030.
Published in Scientific Reports
Successive generalisations of the basic SEIR model have been proposed to accommodate the different needs of the organisations handling the SARS-CoV-2 epidemic. These generalisations have not been able until today to represent the potential of the epidemic to overwhelm hospital capacity until today. This work builds on previous generalisations, incl...
Published in Scientific Reports
The concept of probabilistic parameter threshold analysis has recently been introduced as a way of probabilistic sensitivity analysis for decision-making under uncertainty, in particular, for health economic evaluations which compare two or more alternative treatments with consideration of uncertainty on outcomes and costs. In this paper we formula...
Published in European annals of otorhinolaryngology, head and neck diseases
As a key player in modern scientific methodology, statistics, the science of collecting, processing and analyzing data from observation of random phenomena (i.e., in which chance is a factor), is an essential part of the process of formulating a research hypothesis, choosing the study variables and research method, analyzing the results and drawing...
Published in Scientific Reports
Notational analysis is a popular tool for understanding what constitutes optimal performance in traditional sports. However, this approach has been seldom used in esports. The popular esport “Rocket League” is an ideal candidate for notational analysis due to the availability of an online repository containing data from millions of matches. The pur...
Published in Health and Quality of Life Outcomes
Background The novel coronavirus (SARS-CoV-2) has led to a global pandemic, resulting in a disease termed COVID-19, which commonly presents in adults as a typical infection of the upper respiratory tract. Although the disease is often acute, one in ten patients can continue to be affected for weeks or months, resulting in a state called long COVID....
Published in Scientific Reports
In France, more than 10 million women at ”average” risk of breast cancer (BC), are included in the organized BC screening. Existing predictive models of BC risk are not adapted to the French population. Thus, we set up a new score in the French Hérault region and looked for subgroups at a graded level of risk in women at ”average” risk. We recruite...
