Applications are closed
for this workshop

Multi-scale modeling of malaria

April 10 to April 14, 2023

at the

American Institute of Mathematics, San Jose, California

organized by

Lauren Childs, Silvie Huijben, and Olivia Prosper

This workshop, sponsored by AIM and the NSF, will be devoted to the modeling of malaria to assess the role of heterogeneity in disease dynamics. Malaria is one of the deadliest infectious diseases globally, causing hundreds of thousands of deaths each year. Since the early 1900s, mathematical modeling has been a critical component of malaria research, suggesting optimal interventions.

The main topics for the workshop are:

  • Modeling the generation, emergence, and persistence of malaria parasite diversity;
  • Describing the emergence and spread of drug resistance in parasite populations and insecticide resistance in mosquito populations, and the impact on disease spread;
  • Building a framework to understand age-structured immune profiles and their variability with human movement;
  • Quantifying the impact of immunity and parasite diversity on drug resistance evolution.
The foundation of the workshop will surround differential equation modeling involving higher order systems and multiple scales. The incorporation of stochastic components will also be discussed.

This event will be run as an AIM-style workshop. Participants will be invited to suggest open problems and questions before the workshop begins, and these will be posted on the workshop website. These include specific problems on which there is hope of making some progress during the workshop, as well as more ambitious problems which may influence the future activity of the field. Lectures at the workshop will be focused on familiarizing the participants with the background material leading up to specific problems, and the schedule will include discussion and parallel working sessions.

The deadline to apply for support to participate in this workshop has passed.

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