ECMI2021: Mathematical Innovations for Mastering the COVID-19 Pandemic

At the ECMI2021 conference, we had two other mini-symposia that specifically addressed the issue of COVID-19. Due to the great public interest, we also provide recordings here that are published on the ECMI Youtube channel. MS14: Modelling and Optimization in Epidemiology (Karunia Putra Wijaya) MS15: Mathematical Innovations for Mastering the […]

Read more

ECMI2021: Modelling COVID-19 Transmission in Indoor Spaces

ECMI2021 is now just over and it’s time to remind ourselves of a few highlights. The mini-symposium by Katerina Kaouri (Cardiff University) and Ian Griffiths (University of Oxford) on “Modelling COVID-19 Transmission in Indoor Spaces” can now be viewed on the ECMI YouTube channel: Dimitris Drikakis, “Present and Future of […]

Read more

The 21th European Conference on Mathematics for Industry

Tomorrow the 21th ECMI conference will start. This event will be held as an online conference hosted by the University of Wuppertal from April 13th to April 15th 2021, see the conference webpage. The biennial ECMI conference with more than 350 participants includes 11 plenary lectures, an Anile prize lecture, […]

Read more

Graphs in Space: Graph Embeddings for Machine Learning on Complex Data

In today’s world, data in graph and tabular form are being generated at astonishing rates, with algorithms for machine learning (ML) and data mining (DM) applied to such data establishing themselves as drivers of modern society. The field of graph embedding is concerned with bridging the “two worlds” of graph […]

Read more

In new ways in the field of medical image analysis supported by artificial intelligence

For more than a decade data mining, including machine learning has been an active topic of research and teaching at the Mathematical Institute at the Eötvös Loránd University with the objective of keeping up a good balance of mathematical and engineering approach. In recent years it was a good base […]

Read more

COVID-19 task force of mathematical modelling and epidemiological analysis in Hungary

Research on mathematical modelling of infectious diseases has been carried out at the Bolyai Institute of the University of Szeged for already 12 years. Earlier topics studied by the research group include strategies for influenza vaccination, the impact of mandatory varicella vaccination, the risk of measles outbreaks during the 2012 […]

Read more

PRecision crop protECtion: deep learnIng and data fuSION

Current farming practices require a uniform application of pesticides in order to protect crop plants from pest and disease. These treatments are typically repeated at regular time intervals. However, it is well known that several pests and diseases exhibit an uneven spatial distribution, with typical patch structures evolving around localized […]

Read more

Modeling provincial Covid-19 epidemic data in Italy using an adjusted time-dependent SIRD model

The outbreak of the Covid-19 epidemics in early 2020 has caused an unprecedented effort of the scientific community to produce models that could monitor and predict the evolution of the epidemics in a reliable way, also to advice governments to take actions which could mitigate the burden of hospitals to […]

Read more

EpideMSE – Epidemiological Modeling, Simulation and Decision Support of COVID-19

Intensice Care Bed Capacity

When the Covid19-Pandemic started in early 2020, Germany reacted with strict, acute nationwide measures that aimed at minimizing infection risk within the population. These included closing possible meeting locations such as schools, non-essential shops, playgrounds, restaurants and the like. Now that the numbers have declined, the government was and is faced with the dilemma of balancing citizens’ freedom rights against the risk of a new wave of infection. With smaller, but heterogeneously distributed outbreaks, local health authorities and politicians are now responsible for deciding on the degree of relaxation of protective measures in their administrative districts. There are currently numerous publications and pre-publications (cf. Flaxman, 2020) in which scientists analyze the current infection situation and attempt to predict the further course of the pandemic. Nevertheless, it cannot be expected that a district administrator or the head of the local health department will have the time and training to apply the study results, which were prepared for specific countries, regions or cities, to the situation in his or her district.

Read more
1 2 3 13
%d bloggers like this: