Aggregation patterns of living organisms: connecting mathematical modeling to experimental data

• Grant number: 20/15643-8
• Support Opportunities: Scholarships in Brazil - Master
• Start date: March 01, 2021
• End date: July 31, 2023
• Field of knowledge: Physical Sciences and Mathematics - Physics
• Principal Investigator: Ricardo Martinez Garcia
• Grantee: Daniel Cardoso Pereira Jorge
• Host Institution: Instituto de Física Teórica (IFT). Universidade Estadual Paulista (UNESP). Campus de São Paulo. São Paulo , SP, Brazil
• Associated research grant: 19/05523-8 - Toward a mechanistic theory for biological patterns and their ecosystem management possibilities, AP.BTA.JP
• Associated scholarship(s): 22/06202-3 - The role of geometry in the evolution of early multicellularity, BE.EP.MS

Abstract

Living beings very often interact with their conspecifics and form spatially heterogeneous spatial distributions. An example of such collective process is the formation of aggregates. In this project, the student will familiarize with different examples of aggregation processes in nature and learn the most commonly used techniques to model them. Finally, he will work on developing a video-processing based protocol to extract information about the interactions among individuals that drive aggregation in very large population sizes.The goal of this project is to implement a computational method to quantify the interaction forces that drive aggregation processes in large populations. To this end, the student will receive training in statistical physics, nonlinear dynamics in spatially-extended systems and Fourier analysis. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

JORGE, D. C. P.; OLIVEIRA, J. F.; MIRANDA, J. G. V.; ANDRADE, R. F. S.; PINHO, S. T. R.. Estimating the effective reproduction number for heterogeneous models using incidence data. ROYAL SOCIETY OPEN SCIENCE, v. 9, n. 9, p. 14-pg., 2022-09-07. (20/15643-8)

DE ARAUJO, ROBERT G. S.; JORGE, DANIEL C. P.; DORN, REJANE C.; CRUZ-PACHECO, GUSTAVO; ESTEVA, M. LOURDES M.; PINHO, SUANI T. R.. Applying a multi-strain dengue model to epidemics data. MATHEMATICAL BIOSCIENCES, v. 360, p. 10-pg., 2023-05-12. (20/15643-8)

HIRATA, FLAVIA M. R.; JORGE, DANIEL C. P.; PEREIRA, FELIPE A. C.; SKALINSKI, LACITA M.; CRUZ-PACHECO, GUSTAVO; ESTEVA, M. LOURDES M.; PINHO, SUANI T. R.. Co-circulation of Dengue and Zika viruses: A modelling approach applied to epidemics data. CHAOS SOLITONS & FRACTALS, v. 173, p. 11-pg., 2023-06-23. (20/15643-8)