Joint Meeting of Asian Conference for Mathematical Biology and Annual Meeting of Japanese Society for Mathematical Biology (ACMB-JSMB2025)

Chair:Mark Anthony C. Tolentino(Ateneo de Manila University, Philippines)

During the COVID-19 pandemic, compartmental models were widely used for generating scenario-based forecasts that considered various effects of interventions (e.g., lockdowns, vaccinations). While the pandemic has already ended, COVID-19 and other infectious diseases continue to burden countries worldwide, including the Philippines. It thus remains valuable to study these models to support efforts on disease surveillance and pandemic preparedness.
This minisymposium features talks on the recent developments in the analysis of COVID-19 and vector-borne disease (VBD) models. Two talks study the long-term dynamics of solutions of these models, both of which assume piecewise-constant transmission rates. This assumption attempts to capture the shifting mobility conditions due to changes in government-imposed restrictions for the COVID-19 model, and the varying population-level interventions for the VBD model. The third talk analyzes the co-infection dynamics of the two diseases. These talks cover properties of solutions, and simulations to illustrate the theoretical results.
The last two talks feature studies that link compartmental models with local case data in the Philippines. One talk evaluates the effectiveness of pandemic restrictions using a calibrated COVID-19 compartmental model with a piecewise-constant transmission rate. The second considers a COVID-19 compartmental model that employs a physics-informed neural network approach to construct a time-varying transmission rate.