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Mathematical Modelling for Vaccine-preventable Diseases

Updated: May 29

Image courtesy of Kipargeter on Freepik

Following on from the success of our first course in 2022, the Vaccine Impact Modelling Consortium (VIMC) and CEMA are running an intensive 6-day short course on Mathematical Modelling for Vaccine-preventable Diseases for participants from low and middle-income countries. The course will take place in Nairobi, Kenya from 9-15 September 2024.


The programme combines lectures, discussions and seminars with a series of in-depth practical sessions that help to facilitate understanding of the underlying theory by putting these approaches into practice. The course will use the open-source programming language of R and is aimed at any life scientist, public health, medical or veterinary professional based in a low- or middle- income country interested in learning quantitative approaches to infectious disease dynamics and control by vaccination. The basic concepts of the course are applied to human infectious disease systems, with reference to more general applications in wildlife and livestock. Applicants whose existing work /research project involves the use of models or interactions with modellers and is focussed on vaccine-preventable diseases will be selected in priority.


The course starts with a refresher of calculus and introduction to computer programming from first principles. Participants who are not familiar with R are encouraged to learn the language basics (data analysis, vector manipulation and graphics) before attending. Likewise applicants will be provided with pre-reading on basic mathematical methods which will be essential for the course.


The programme is sponsored by the Vaccine Impact Modelling Consortium (supported by Gavi, the Bill & Melinda Gates Foundation and The Wellcome Trust) and is offered free of charge to selected participants. Travel bursaries will also be available to participants.

To apply - please complete the online application form.

Deadline for applications - 12th July 2024.

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