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Mathematics

D-Index
38
Citations
12388
World Ranking
2273
National Ranking
16

Overview

Tom Britton is affiliated with Stockholm University in Sweden and focuses primarily on research intersecting mathematics and medicine. Their work significantly involves modeling and simulation techniques applied to infectious diseases and epidemiology, particularly within the context of the COVID-19 pandemic.

Their research topics include:

  • COVID-19 epidemiological studies
  • SARS-CoV-2 and COVID-19 research
  • COVID-19 pandemic impacts
  • Vaccine coverage and hesitancy
  • Data-driven disease surveillance
  • Viral infections and outbreaks research
  • Mathematical and theoretical epidemiology and ecology models

Britton's publication record reveals a strong focus on both theoretical and applied aspects of infectious disease modeling. Recent notable papers include:

  • "A mathematical model reveals the influence of population heterogeneity on herd immunity to SARS-CoV-2", 2020, Science
  • "Key questions for modelling COVID-19 exit strategies", 2020, Proceedings of the Royal Society B Biological Sciences
  • "Completing Linnaeus's inventory of the Swedish insect fauna: Only 5,000 species left?", 2020, PLoS ONE
  • "The disease-induced herd immunity level for Covid-19 is substantially lower than the classical herd immunity level", 2020, bioRxiv (Cold Spring Harbor Laboratory)
  • "Basic estimation-prediction techniques for Covid-19, and a prediction for Stockholm", 2020, bioRxiv (Cold Spring Harbor Laboratory)

Frequent co-authors in their research include:

  • Frank Ball
  • Pieter Trapman
  • Mohamed El Khalifi
  • Felix Günther
  • Gianpaolo Scalia Tomba

The scientist's body of work is published predominantly in several venues that specialize in epidemiology, theoretical biology, and computational modeling, such as:

  • bioRxiv (Cold Spring Harbor Laboratory)
  • arXiv (Cornell University)
  • Journal of The Royal Society Interface
  • PLoS Computational Biology
  • Proceedings of the Royal Society B Biological Sciences

Tom Britton's contributions span multiple subfields, with the majority of publications addressing:

  • Modeling and simulation
  • Infectious diseases
  • Epidemiology
  • Economics and econometrics
  • Statistical and nonlinear physics

This combination of mathematical modeling and application to real-world epidemiological problems illustrates the interdisciplinary nature of Britton's research, particularly regarding pandemic dynamics and public health strategies. The examination of herd immunity thresholds and predictive modeling for Stockholm are examples of their applied focus on the societal implications of infectious disease control measures.

Best Publications

  • Dynamics of fat cell turnover in humans

    Kirsty L Spalding;Erik Arner;Pål O Westermark;Samuel Bernard

  • Stochastic Epidemic Models and Their Statistical Analysis

    Håkan Andersson;Tom Britton

  • Diversification of Neoaves: integration of molecular sequence data and fossils.

    Per G. P. Ericson;Cajsa Lisa Anderson;Tom Britton;Andrzej Elzanowski

  • Reliability of Bayesian posterior probabilities and bootstrap frequencies in phylogenetics.

    Per Erixon;Bodil Svennblad;T. O. M. Britton;Bengt Oxelman

  • Mathematical Tools for Understanding Infectious Disease Dynamics

    Odo Diekmann;Hans Heesterbeek;Tom Britton

  • A mathematical model reveals the influence of population heterogeneity on herd immunity to SARS-CoV-2.

    Tom Britton;Frank Ball;Pieter Trapman

  • Stochastic epidemic models: a survey.

    Tom Britton

  • Generating Simple Random Graphs with Prescribed Degree Distribution

    Tom Britton;Maria Deijfen;Anders Martin-Löf

  • Estimating divergence times in large phylogenetic trees

    Tom Britton;Cajsa Lisa Anderson;David Jacquet;Samuel Lundqvist

  • Lipolysis—Not inflammation, cell death, or lipogenesis—Is involved in adipose tissue loss in cancer cachexia

    Mikael Rydén;Thorhallur Agustsson;Jurga Laurencikiene;Tom Britton

  • Inferring Speciation and Extinction Rates under Different Sampling Schemes

    Sebastian Höhna;Tanja Stadler;Fredrik Ronquist;Tom Britton

  • Statistical studies of infectious disease incidence

    Niels G. Becker;Tom Britton

  • Estimation in emerging epidemics: biases and remedies.

    Tom Britton;Gianpaolo Scalia Tomba

  • Seven challenges for metapopulation models of epidemics, including households models

    Frank Ball;Tom Britton;Thomas A. House;Valerie Isham

  • Bayesian inference for stochastic epidemics in populations with random social structure

    Tom Britton;Philip D. O'neill

  • Key questions for modelling COVID-19 exit strategies.

    Robin N. Thompson;Robin N. Thompson;Robin N. Thompson;T. Déirdre Hollingsworth;Valerie Isham;Daniel Arribas-Bel;Daniel Arribas-Bel

  • Phylogenetic dating with confidence intervals using mean path lengths.

    Tom Britton;Bengt Oxelman;Annika Vinnersten;Kåre Bremer

  • Epidemics on Random Graphs with Tunable Clustering

    Tom Britton;Maria Deijfen;Andreas N. Lagerås;Mathias Lindholm

  • Stochastic epidemics in dynamic populations: quasi-stationarity and extinction.

    Håkan Andersson;Tom Britton

  • Graphs with specified degree distributions, simple epidemics, and local vaccination strategies

    Tom Britton;Svante Janson;Anders Martin-Löf

  • Key questions for modelling COVID-19 exit strategies: COVID-19 Exit Strategies

    Robin N. Thompson;Robin N. Thompson;T. Déirdre Hollingsworth;Valerie Isham;Daniel Arribas-Bel

Frequent Co-Authors

Frank Ball
Frank Ball University of Nottingham
Etienne Pardoux
Etienne Pardoux Aix-Marseille University
Jan Albert
Jan Albert Karolinska Institute
Odo Diekmann
Odo Diekmann Utrecht University
Ira M. Longini
Ira M. Longini University of Florida
Peter Arner
Peter Arner Karolinska Institute
Thomas Leitner
Thomas Leitner Los Alamos National Laboratory
Alun L. Lloyd
Alun L. Lloyd North Carolina State University
M. Elizabeth Halloran
M. Elizabeth Halloran Fred Hutchinson Cancer Research Center
Christl A. Donnelly
Christl A. Donnelly University of Oxford

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