FAPESP Postdoctoral Fellow at the Institute for Tropical Medicine of the University of São Paulo and Volunteer Researcher at the Medical School of São Paulo State University (Unesp/Botucatu) studying aspects of epidemic spreading in human populations. Also, fundamental aspects of
epidemic spreading models on complex networks, real-world applications with high-resolution data-driven models
coupling human mobility and contact patterns, and echo chamber effects on Twitter networks.
Member of the CADDE Project (IMT-USP and University of Oxford).
Experience: High Performance Computing (Fortran, C), Python (numpy, scipy, pandas, geopandas, sympy, and others), data mining and analysis, GIS, LaTeX, Bash, Linux, HTML, CSS, Javascript, APIs, SQL.
COVID-19 in Brazil and Spain
🇧🇷 Número de casos confirmados de COVID-19 no Brasil (Number of confirmed cases in Brazil by municipalities)
🇧🇷 Outbreak diversity in epidemic waves propagating through distinct geographical scales
🇪🇸 Modeling the spatiotemporal epidemic spreading of COVID-19 and the impact of mobility and social distancing interventions
See more in Publications
Publications
2022
[15] Government inaction on COVID-19 vaccines contributes to the persistence of childism in Brazil
The Lancet Regional Health - Americas 2022;13: 100346 [Open Access]
[14] Modeling Communicable Diseases, Human Mobility, and Epidemics: A Review
Annalen der Physik, 2100482 (2022) [Open Access]
[13] Effects of infection fatality ratio and social contact matrices on vaccine prioritization strategies
To appear on Chaos: An Interdisciplinary Journal of Nonlinear Science
Supplemental Material: https://wcota.me/p222supp
[12] Data-driven approach in a compartmental epidemic model to assess undocumented infections
To appear on Chaos, Solitons and Fractals
Supplemental Material: https://wcota.me/p221supp
2021
[11] Infectious disease dynamics in metapopulations with heterogeneous transmission and recurrent mobility
New Journal of Physics 23 073019 (2021) [Open Access, video abstract available]
2020
[⭐] Doctoral thesis: Spreading phenomena on complex networks and social systems
September, 2020
Doctor Scientiae (Physics)
Universidade Federal de Viçosa, Brazil
Recorded defense (audio pt-br, slides in english)
Adviser: Silvio da Costa Ferreira Junior
Co-adviser: Jesús Gómez-Gardeñes
[10] Outbreak diversity in epidemic waves propagating through distinct geographical scales
Phys. Rev. Research 2, 043306 (2020) [Open Access]
Supplemental Material: https://wcota.me/covid19brmetapopSI
In Portuguese: Modelagem do avanço da COVID-19 no interior do Brasil
[10.1103/PhysRevResearch.2.043306]
See the Supplemental Material for details
All videos
Other version: Metapopulation modeling of COVID-19 advancing into the countryside: an analysis of mitigation strategies for Brazil, medRxiv 2020.05.06.20093492 (2020)
[9] Monitoring the number of COVID-19 cases and deaths in Brazil at municipal and federative units level
Description of the data: SciELOPreprints:362
Interactive page: English, Portuguese
[8] Modeling the spatiotemporal epidemic spreading of COVID-19 and the impact of mobility and social distancing interventions
Physical Review X 10, 041055 (2020) [Open Access]
Other version: Derivation of the effective reproduction number ℛ for COVID-19 in relation to mobility restrictions and confinement, medRxiv 2020.04.06.20054320 (2020)
[7] Mathematical model for the spatiotemporal epidemic spreading of COVID-19
2019
[6] Spectral properties and the accuracy of mean-field approaches for epidemics on correlated networks
Phys. Rev. Research 1, 033024 (2019) [Open Access]
[5] Quantifying echo chamber effects in information spreading over political communication networks
EPJ Data Science 8, 35 (2019), arXiv:1901.03688
[Datasets available upon request]
2018
[4] Robustness and fragility of the susceptible-infected-susceptible epidemic models on complex networks
[3] Griffiths phases in infinite-dimensional, non-hierarchical modular networks
Scientific Reports 8:9144 (2018) [Open Access]
2017
[2] Optimized Gillespie algorithms for the simulation of Markovian epidemic processes on large and heterogeneous networks
Computer Physics Communications 219C (2017) pp. 303-312, arXiv:1704.01557
2016
[1] Griffiths effects of the susceptible-infected-susceptible epidemic model on random power-law networks
Links
COVID-19 in Brazil
Dataset with COVID-19 cases in Brazil
COVID-19 in the countryside: Phys. Rev. Research 2, 043306 (2020)
COVID-19 in Spain
Model of COVID-19 spreading: Phys. Rev. X 10, 041055 (2020)
Risk map for Spain, Portugal and Brazil (not updated)
dynSIS
Implementation of SIS epidemic model for large and heterogeneous networks
Available in Fortran and Python (NumPy and NetworkX)
mod_rndgen
Fortran module of the KISS random number generator
It allow the use of multiple independent random number generators at the same time
Visualization of friendship networks from Facebook
(disabled, portuguese)
Old page that extracted friendship networks from Facebook profiles
Wesley Cota, PhD
FAPESP Postdoctoral Fellow at the Institute for Tropical Medicine of the University of São Paulo and Volunteer Researcher at the Medical School of São Paulo State University (Unesp/Botucatu), studying the spreading of epidemics.
Faculdade de Medicina
Universidade Estadual Paulista (Unesp)
Botucatu, São Paulo, Brazil
wesley@wcota.me