Daniel Sigal

ORCID: 0000-0002-2002-577X
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About
Contact & Profiles
Research Areas
  • Influenza Virus Research Studies
  • Evolution and Genetic Dynamics
  • Mathematical and Theoretical Epidemiology and Ecology Models
  • Mathematical Biology Tumor Growth
  • Therapeutic Uses of Natural Elements
  • Geometric Analysis and Curvature Flows
  • Cancer Immunotherapy and Biomarkers
  • COVID-19 epidemiological studies
  • Immunotherapy and Immune Responses
  • Geometry and complex manifolds
  • Respiratory viral infections research

Western University
2018-2019

Abstract We investigate the fate of de novo mutations that occur during in-host replication a pathogenic virus, predicting probability such are passed on disease transmission to new host. Using influenza A virus as model organism, we develop life-history within-host dynamics infection, deriving multitype branching process with coupled deterministic capture population available target cells. quantify neutral and affecting five traits: clearance, attachment, budding, cell death, eclipse phase...

10.1534/genetics.118.301510 article EN Genetics 2018-09-04

Abstract We investigate the fate of de novo mutations that occur during in-host replication a pathogenic virus, predicting probability such are passed on disease transmission to new host. Using influenza A virus as model organism, we develop life-history within-host dynamics infection, using multitype branching process with coupled deterministic capture population available target cells. quantify neutral and affecting five traits: clearance, attachment, budding, cell death, eclipse phase...

10.1101/339861 preprint EN bioRxiv (Cold Spring Harbor Laboratory) 2018-06-07

Supplementary figures for manuscript Effects of Transmission Bottlenecks on the Diversity of Influenza A Virus

10.25386/genetics.6430487.v1 article EN Genetics 2018-01-01

We establish effective existence and uniqueness for the heat flow on time-dependent Riemannian manifolds, under minimal assumptions tailored towards study of Ricci through singularities. The main point is that our estimates only depend an upper bound logarithmic derivative volume measure. In particular, hold any with scalar curvature bounded below, such a lower course depends initial data.

10.48550/arxiv.2006.15678 preprint EN other-oa arXiv (Cornell University) 2020-01-01
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