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 2018

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Today starts the 7th SIMID course on "Infectious Disease Modelling and Health Economic Evaluation of Vaccines". (more…)
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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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Let snoops do their thing…

News
Prof. Niel Hens in the newspaper "De Standaard" on the current pitfalls of research funding in Flanders and the need to promote multidisciplinary research. More info on our "in the news" page.
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Epidemiological evaluation of vaccines: efficacy, safety and policy

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Anthony Scott and Stefan Flasche run an intensive 2-week course on The Epidemiological Evaluation of Vaccines at LSHTM.  In 2018, the course will run from 2rd to 13th July. Although there are several courses in vaccinology, few are aimed at advanced epidemiological tools for vaccine evaluation. This course fills that gap, providing an understanding of the methods used in the evaluation of vaccines from early clinical trials through to assessment of population impact, modelling, cost-effectiveness analysis, safety surveillance and policy. It aims to tackle issues in high, middle and low income countries.  
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5-day IBM course @ SACEMA (14-18 May 2018)

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We are pleased to announce the third 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  Throughout the course there will be a strong focus on the practical implementation and analysis with R and NetLogo. The emphasis of the course will be on the process of designing and exploring individual-based models to address complex questions in epidemiology and not on the technical aspects of writing computer programs. Prior experience with R is a plus, experience with NetLogo is…
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