← back to search

Tom Britton

Stockholm University · SE
Area of research
Modeling and Simulation · Public Health, Environmental and Occupational Health
Research interest
Research interests include COVID-19 epidemiological studies, Mathematical and Theoretical Epidemiology and Ecology Models, Complex Network Analysis Techniques, and Stochastic processes and statistical mechanics.
h-index
37
citations
11,599
works
276
NIH funding
primary concept
Mathematics
email

Recent publications

A counterfactual analysis quantifying the COVID-19 vaccination impact in Sweden.
2025cited by 2position: contributordoi
Improving the Use of Social Contact Studies in Epidemic Modeling.
2025cited by 1position: contributordoi
Inferring pathogen superspreading potential using early spatial spread patterns
2025cited by 0position: contributordoi
SIRS epidemics with individual heterogeneity of immunity waning.
2024cited by 2position: contributordoi
Extending susceptible-infectious-recovered-susceptible epidemics to allow for gradual waning of immunity.
2023cited by 16position: contributordoi
Monitoring real-time transmission heterogeneity from incidence data.
2022cited by 10position: contributordoi
Modelling preventive measures and their effect on generation times in emerging epidemics.
2022cited by 4position: contributordoi
Optimal intervention strategies for minimizing total incidence during an epidemic
2022cited by 0position: contributordoi
Modelling preventive measures and their effect on generation times in emerging epidemics
2022cited by 0position: contributordoi
Quantifying the preventive effect of wearing face masks.
2021cited by 4position: contributordoi
The risk for a new COVID-19 wave and how it depends on <i>R</i> <sub>0</sub>, the current immunity level and current restrictions.
2021cited by 3position: contributordoi
Quantifying the preventive effect of wearing face masks
2021cited by 0position: contributordoi
A mathematical model reveals the influence of population heterogeneity on herd immunity to SARS-CoV-2.
2020cited by 414position: contributordoi
Key questions for modelling COVID-19 exit strategies
Proceedings of the Royal Society B Biological Sciences 2020cited by 137position: middledoi
Completing Linnaeus’s inventory of the Swedish insect fauna: Only 5,000 species left?
PLoS ONE 2020cited by 57position: middledoi
Epidemic models on social networks—With inference
Statistica Neerlandica 2020cited by 29position: contributordoi
The disease-induced herd immunity level for Covid-19 is substantially lower than the classical herd immunity level
2020cited by 26position: contributordoi
Inferring transmission heterogeneity using virus genealogies: Estimation and targeted prevention.
2020cited by 6position: contributordoi
Summer vacation and COVID-19: effects of metropolitan people going to summer provinces
2020cited by 0position: contributordoi
The risk for a new COVID-19 wave – and how it depends on <i>R</i> <sub>0</sub> , the current immunity level and current restrictions
2020cited by 0position: contributordoi
A stochastic SIR network epidemic model with preventive dropping of edges.
2019cited by 12position: contributordoi
Completing Linnaeus’s inventory of the Swedish insect fauna: only 5,000 species left?
2019cited by 0position: contributordoi

Grants

No grants ingested yet.

Frequent collaborators

· 20 papers (2019–2025) · 4 papers (2019–2020) · 4 papers (2020–2021)Frank Ball · University of Nottingham4 papers (2019–2020)Gianpaolo Scalia Tomba · University of Rome Tor Vergata2 papers (2022–2022)Martina Favero · KTH Royal Institute of Technology2 papers (2022–2022)Yunjun Zhang · Hainan General Hospital2 papers (2020–2022)Mohamed El Khalifi · Stockholm University1 papers (2023–2023)Marc Pollet · Springer Nature1 papers (2019–2019)Xiao-Hua Zhou · Peking University1 papers (2022–2022)Thomas Leitner · Karolinska Institutet1 papers (2020–2020) · 1 papers (2020–2020)Fanny Bergström · Public Library of Science1 papers (2025–2025)Kevin C. Holston · Clarivate PLC1 papers (2019–2019) · 1 papers (2019–2019)David Sirl · University of Nottingham1 papers (2019–2019)Jostein Kjærandsen · Kanazawa University1 papers (2019–2019)Fredrik Ronquist · National Science Foundation - Directorate for Biological Sciences1 papers (2019–2019)Seraina Klopfstein · European Bioinformatics Institute1 papers (2019–2019)Rudolf Meier · Museum für Naturkunde1 papers (2019–2019)