An epidemic is defined as a rapidly evolving phenomenon in time and space. We are currently facing an epidemic situation that is unprecedented in the history of medicine. We are gradually discovering a new disease. Every day, we learn more about it, which allows us to constantly adapt to provide adequate responses. Knowledge of the parameters of the Covid-19 epidemic allows us to be better prepared to organise care accordingly.
In collaboration with the team of the Infectious Diseases Service of the University Hospitals of Strasbourg, the Public Health Service (GMRC, Pr Meyer) and the Laboratory of Biostatistics and Medical Informatics (Faculty of Medicine, Pr Sauleau) are contributing to the fight against the Covid-19 infection. Docteur Fabacher has produced an interactive map for global monitoring of the infection. All three belong to IMages, leArning, Geometry and Statistics team (IMAGeS) in the Laboratory ICube (CNRS, Université de Strasbourg, ENGEES, INSA Strasbourg).
The map is available at: https://thibautfabacher.shinyapps.io/covid-19/
This tool is complementary to maps already published, such as the Johns Hopkins University map (Coronavirus COVID-19 Global Cases by Johns Hopkins CSSE), from which it retrieves some data but gives, on a global scale, an evolutionary vision both chronologically and geographically and makes it possible to measure the extent and spread of the coronavirus phenomenon.
How does this map work ?<br />
This map focuses on the evolution of the number of cases per country and for a given period, but in terms of incidence and prevalence. It is updated daily. The period of interest can be defined by the user and it is possible to choose (indicator):
- The count of new cases over a period of time or the same count reported to the population of the country (incidence).
- The total case count over a period of time or the same count reported to the population (prevalence).
The user can zoom in on the map with the "+" and "-" buttons or with the scroll wheel of his mouse and can animate the map with the small "play" button under the choice of dates. We have added mortality data, presented according to the same principle, as well as curves of temporal evolution (by clicking on the "show evolution" box at the bottom right), allowing to display the evolution of the indicators by choosing the countries by clicking. Finally a mobile version is available for smartphone with the button at the top right.
For any technical question, please contact Dr Fabacher.
This device is based on liquid crystal modulators. The drift of one modulator is compensated by the drift of another modulator. This alleviates the need to recurrently calibrate the instrument.
Results of the project ERC FBrain
The ERC FBrain project (2008-2013), led by François Rousseau, came to an end. Recent advances in medical imaging now allow us to quantify the maturation of brain tissue in the fetal stage, and opens a new avenue to understanding the rapid brain development in utero. These developments complement the work already done in imaging at the cellular level in animal and post mortem brain development studies. The fast MRI acquisition techniques are now able to "freeze" the motion of the fetal head during image acquisition. Reconstructing 3D images of the fetal brain is now feasible by using advanced post-processing algorithms. These new 3D images have motivated the development of new techniques for automatically labeling areas developing tissues in MRI data to their precise quantification. These methods were the basis of work to create the first maps of the growth of tissues and some patterns of cortical development in utero. Our work also showed that the estimate of connectome (i.e. the network of the fibers in the brain) in the fetus in utero is now possible. These measurements provide valuable conclusions that complement those from post mortem studies, and also allow the possibility of large population studies on the influence of genes and the maternal environment on early brain development.
Colin Studholme, François Rousseau, « Quantifying and modelling tissue maturation in the living human fetal brain », International Journal of Developmental Neuroscience, 2013