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Modeling and Applications Group
(ModApp)

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Vision, Mission, Goals

Vision: The ModApp Group shall be a leading force in the performance and promotion of research on the use of mathematics in the natural sciences, social sciences, engineering and other disciplines.

 

Mission: As an academic group of the Institute of Mathematics, ModApp shall study mathematical models in the life and physical sciences, explore areas and create venues for the interdisciplinary use of mathematics in the natural sciences, social sciences, engineering, and other disciplines, and offer courses and services in promotion thereof.

 

Goals: to study and do research on mathematical models in the life and physical sciences from which can be gained insights on trends, causes and effects, solvability, stability, and, whenever possible, predictability; to initiate research collaborations with the natural and social sciences, engineering, and other disciplines; to participate in the discussion of public concerns that may benefit from ModApp expertise.

Research

ModApp is actively working on three research domains: (1) modeling biological systems; (2) chemical reaction network theory; and (3) applications of optimal control theory to biological models. 

Latest Publications

Disentangling climate’s dual role in dengue dynamics: A multiregion causal analysis study

Cawiding OR, Jeon S, Tubera-Panes D, de los Reyes V AA & Kim JK 
Science Advances 11(7): eadq1901 (2025)

Dengue fever poses major public health challenges, with climate change complicating control efforts. Yet, the full extent of climate change’s impact on dengue remains elusive. To investigate this, we used an advanced causal inference method to 16 diverse climatic regions in the Philippines. This method is capable of detecting nonlinear and joint effects of temperature and rainfall to dengue incidence. We found that temperature consistently increased dengue incidence throughout all the regions, while rainfall effects differed depending on the variation in dry season length, a factor previously overlooked. Specifically, our results showed that regions with low variation in dry season length experience a negative impact of rainfall on dengue incidence likely due to strong flushing effect on mosquito habitats, while regions with high variation in dry season length experience a positive impact, likely due to increased mosquito breeding sites. Our findings emphasize the need for tailored prevention strategies based on local climate conditions, rather than a one-size-fits-all approach.

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