How are you dealing with the coronavirus?

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Are you working from home? What about the kids? Would you still shake someone’s hand? If we all answer this short questionnaire en masse, experts will be better able to assess the evolution of the corona curve. The impact of the measures will only be visible in the hospitalisation rates 10 to 14 days after they were launched. This is due to the incubation period and how COVID19 progresses. more info: https://www.uantwerpen.be/en/projects/corona-study/
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COVID-19 news article on telework

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If half of the Belgians would telework, it can really make a difference in #flattenthecurve! Using our meta-population model for Belgium, we are analysing many distancing scenarios and made a first press release in de Standaard on March 17. See our cover-19 page for other ongoing projects.
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SIMID course

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We are happy to announce that our yearly course is integrated in the Antwerp Summer University initiative and will take place from 7-11 September 2020 in collaboration with Hasselt University and the Institute of Tropical Medicine Antwerp. (more…)
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The maths behind disease transmission

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Prof. Niel Hens gave an interview for the EU Research magazine on the TransMID project and it implications for public health. Within the project, new sophisticated methods are developed to model transmission dynamics of infectious diseases more accurately. Read the full article here or download the pdf.
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SIMID course: 17-21 September 2018

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We are happy to announce the 7th SIMID course on "Infectious Disease Modelling and Health Economic Evaluation of Vaccines" for people who want to expand their modelling toolbox and understanding of cost-effectiveness analysis when it is applied to vaccines. The 5 day course in Antwerp, Belgium, will include many tutorials in R and MS Excel. (more…)
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Five-day course: Individual-based Modeling in Epidemiology

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We are pleased to announce the second version of the course "Individual-based Modeling in Epidemiology: a Practical Introduction".   Individual-based model, also frequently referred to as agent-based models, are a relatively new class of models suited to gain insight into the population dynamics of complex systems that emerge from the characteristics and interactions of individuals in the population.    Summary:- Create your own individual-based model - Improve your skills to design and analyze individual-based models - Explore practical applications in epidemiology  (more…)
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