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    European Summer Program in Infectious Disease Analysis and Modelling (ESPIDAM)

    This is the first ESPIDAM. It is our ambition to make it a yearly European event.

    ESPIDAM is intended for PhD students, PostDocs, Public Health scientists and others who want to learn more and deeper about various aspects of statistical analysis and modelling of the spread of infectious diseases. It is a European venture but participants from all over the world are welcome.

    We greatly appreciate substantial financial support from the Marcus Wallenberg Foundation, and also from Stockholm Mathematics Centre, ESMTB and Stockholm University.

    Scientific committee

    Tom Britton (Stockholm University, chair), Simon Cauchemez (Pasteur), Sebastian Funk (London School HTM), Niel Hens (Hasselt), Mirjam Kretzschmar (Utrecht), Lorenzo Pellis (Manchester University), Erik Volz (Imperial)


    Organizing committee:

    Tom Britton (Stockholm University, chair), Martina Favero (Stockholm University), Gianpaolo Scalia Tomba (Stockholm University) and Dongni Zhang (Stockholm University), Fanny Bergström (Stockholm University)

     

    ESPIDAM 2024 consists of 6 course modules, 3 modules the first half of the week and 3 modules the second half of the week. Each course has two instructors and 15 hours of class (lectures, tutorials, problem solving, computer exercises, …). It is only possible to follow one course each half week. Participants are encouraged to attend one course the first half-week and one course the second half-week, but it is possible to only attend one course either of the two half-weeks. The structure of ESPIDAM is inspired by a bigger initiative in US denoted SISMID. Even if inspired most courses are different and we warmly recommend participants to attend both summer institutes.

     

    Beside courses there will be a poster session and reception each half week, and each day there will be lunch as well as morning & afternoon coffee/tea breaks thus giving ample time for networking and socializing. We aim for 20-40 students in each module and hence expect 70-90 participants and 6 senior instructors both half weeks.

     

    Prerequisits: It is expected that course participants have basic knowledge of statistics and mathematics and rudimentary knowledge of infectious disease epidemiology. It is also expected that participants have basic computer software knowledge, and preferably is familiar with the software R. A few courses have additional pre-requisites listed on its descriptive page.


    All participants are expected to bring a laptop with R installed on it. Instructions on how to install R to be added?

     

    Poster session: takes place during the reception on first evening of each half week, so Monday and Wednesday respectively. Participants are welcome to present posters, but only on one of the sessions.

    Each reception will start with snapshot presentations by all poster participants, at most 60 seconds (!), in front of each poster. Posters should be posted on the card boards the lunch of the day of the reception and removed the day after the reception.

    Daily schedule: First half-week (June 24-26)

    Monday June 24 and Tuesday June 26:

    Monday (only): 8.00-9.00: On site registration

    9.00-10.30: Lecture

    10.30-11.00: Coffee/Tea Break

    11.00-12.30: Lecture

    12.30-14.00: Lunch break

    14.00-15.30: Lecture

    15.30-16.00: Coffe/Tea break

    16.00-17.30: Lecture

    Monday (only): 17.45-19.30: Posters and reception

    Wednesday June 26:

    9.00-10.30: Lecture

    10.30-11.00: Coffee/Tea Break

    11.00-12.30: Lecture

    12.30-14.00: Lunch


    Daily schedule: Second half-week (June 26-28)

    Wednesday June 26:

    12.30-13.30: On site registration

    12.30-13.30: Lunch

    14.00-15.30: Lecture

    15.30-16.00: Coffe/Tea break

    16.00-17.30: Lecture

    17.45-19.30: Posters and reception

    Thursday June 27 and Friday June 28:

    9.00-10.30: Lecture

    10.30-11.00: Coffee/Tea Break

    11.00-12.30: Lecture

    12.30-14.00: Lunch break

    14.00-15.30: Lecture

    15.30-16.00: Coffe/Tea break

    16.00-17.30: Lecture


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