Vítor Sudbrack

Vítor Sudbrack
University of Lausanne | UNIL · Department of Ecology and Evolution

PhD candidate in Theoretical Ecology and Evolution

About

11
Publications
2,136
Reads
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45
Citations
Introduction
*Check my webpage for details on projects and CV: http://vsudbrack.github.io .* Vítor Sudbrack studies at the Institute for Theoretical Physics (IFT/Unesp, São Paulo, Brazil). Vítor researches in Mathematical Biology, Landscape ecology, Population Dynamics and Numerical Simulations.
Education
March 2019 - March 2021
São Paulo State University
Field of study
  • Theoretical Physics
February 2014 - December 2018
Federal University of Rio Grande do Sul
Field of study
  • Computational Physics

Publications

Publications (11)
Article
The rate at which beneficial alleles fix in a population depends on the probability of and time to fixation of such alleles. Both of these quantities can be significantly impacted by population subdivision and limited gene flow. Here, we investigate how limited dispersal influences the rate of fixation of beneficial de novo mutations, as well as fi...
Preprint
Full-text available
The rate at which populations adapt depends on the probability and time of fixation of beneficial alleles. Both of these quantities can be significantly impacted by population subdivision and limited gene flow. However, how limited dispersal through its combined effects on the probability and time to fixation influences the rate of adaptation via h...
Article
Full-text available
Synthesis research in ecology and environmental science improves understanding, advances theory, identifies research priorities, and supports management strategies by linking data, ideas, and tools. Accelerating environmental challenges increases the need to focus synthesis science on the most pressing questions. To leverage input from the broader...
Article
Full-text available
The SARS-CoV-2 pandemic is a major concern all over the world and, as vaccines became available at the end of 2020, optimal vaccination strategies were subjected to intense investigation. Considering their critical role in reducing disease burden, the increasing demand outpacing production, and that most currently approved vaccines follow a two-dos...
Article
Full-text available
Since the emergence of the novel coronavirus disease 2019 (COVID-19), mathematical modelling has become an important tool for planning strategies to combat the pandemic by supporting decision-making and public policies, as well as allowing an assessment of the effect of different intervention scenarios. A proliferation of compartmental models were...
Preprint
Full-text available
The SARS-CoV-2 pandemic is a major concern all over the world and, as vaccines became available at the end of 2020, optimal vaccination strategies were subjected to intense investigation. Considering their critical role in reducing disease burden, the increasing demand outpacing production, and that most currently approved vaccines follow a two-dos...
Preprint
Full-text available
Since the emergence of the novel coronavirus disease, mathematical modelling has become an important tool for planning strategies to combat the pandemic by supporting decision-making and public policies, as well as allowing an assessment of the effect of different intervention scenarios. A proliferation of compartmental models was observed in the m...
Article
Full-text available
Network growth as described by the Duplication-Divergence model proposes a simple general idea for the evolution dynamics of natural networks. In particular it is an alternative to the well known Barab\'asi-Albert model when applied to protein-protein interaction networks. In this work we derive a master equation for the node degree distribution of...
Preprint
Network growth as described by the Duplication-Divergence model proposes a simple general idea for the evolution dynamics of natural networks. In particular it is an alternative to the well known Barab\'asi-Albert model when applied to protein-protein interaction networks. In this work we derive a master equation for the node degree distribution of...

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