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Multiscale Infectious Disease Modeling Laboratory

Delivering biology from laboratory to society

News

2025.3.2. New RA (Kiat Law) joined our team. Welcome!

2025.1.16. Our latest paper has been published in Journal of Medical Virology! Congratulations Hoong Kai!

2025.1.13. Our latest paper has been published in Communications Medicine!

2024.11.6. Keisuke and Sherry presented at IDM2024 (Bangkok)

2024.10.11. Keisuke and Hoong Kai presented at SHBC 2024 (Singapore).

2024.10.7-9. Our lab organized "Data Empowerment for Infectious Diseases Clinical Research," organized by LKCMedicine with support from the Japan Science and Technology Agency (JST) at LKCMedicine

2024.8.7. Keisuke presented at "Modelling and inference for pandemic preparedness - a focused workshop" (Cambridge University, UK)

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Mathematical models serve as vital computational tools in exploring infectious diseases across various scales, from population dynamics to within-host phenomena.

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At the within-host level, these models meticulously delineate viral replication, clearance, and immune responses within individual hosts. However, they fall short in directly assessing the population-level impact of detailed individual response to infection. On the contrary, between-host models are extensively employed to delineate transmission dynamics between individuals, study disease epidemiology, and evaluate intervention strategies at a broader scale. Nonetheless, between-host models lack the granularity to account for individual-level biological processes.

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In our laboratory, we not only delve into within-host responses for scientific exploration but also bridge the gap between individual and population scales, leveraging cutting-edge biological insights to inform bedside practice and societal strategies through integrative mathematical modeling. This multiscale approach to infectious disease modeling promises a holistic understanding of disease dynamics, offering avenues to simulate the impact of targeted interventions across different population strata.

CONTACT

Keisuke Ejima | 江島 啓介

Address: Clinical Sciences Building, 11 Mandalay Road, Singapore 308232

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©2022 by Keisuke Ejima | 江島 啓介. 

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