March 2020 changed the lives of everyone around the around. We were all worried about the spread of COVID-19, fascinated with R number and hoping lockdowns would not last long. Working in the background was the UL team from MASCI (Mathematics Applications Consortium for Science and Industry) who as part […]
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A research group at MOX has been active during the past year in the development of epidemiological models for the analysis and forecast of the COVID-19 epidemic in Italy. In particular, we have released the epiMOX dashboard (https://www.epimox.polimi.it/) [1] for the visualization and processing of COVID-19 data and simulation results […]
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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 moreWe are looking for a researcher at the level of postdoc or research assistant, to do mathematical modelling, numerical simulations, and data analysis work for a limited period of time (between 6 and 14 months, with time buy-out as an option), in the context of the EU Horizon 2020 COVID 19 […]
Read moreFriday, October 30, 2020 at 10:00 hrs (CET). We are happy to announce the video conference COVER – COVid-19 Empirical Research organized by the Center of Excellence in Economics and Data Science of the Department of Economics, Management and Quantitative Methods and by the Data Science Research Center, Università degli Studi di Milano, […]
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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 […]
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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.
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